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Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Sr. Director, Marketing Strategy, & Analytics. About the job This position is needed to lead and elevate Twilio’s global marketing strategy, turning data into actionable insight that drives growth and customer engagement. We’re looking for a strategic thinker and data storyteller to shape marketing decisions, inspire teams, and deliver real-world results. You’ll build and lead a team that transforms millions of data points into clear direction for campaigns, and drives revenue growth and retention. Responsibilities In this role, you’ll: Create a forward looking point of view on the future of marketing and how we’ll drive success. Define and drive global marketing strategies through actionable data and deep customer insight. Build, mentor, and scale the marketing strategy, and data analytics team, fostering a culture of experimentation and measurable impact. Lead quarterly/annual planning, and target setting to guide execution across all marketing functions. Lead key marketing operational cadences to ensure business actionability needs are being met. Partner across Marketing, Finance, and the GTM org to align go-to-market and growth strategies. Own and Drive Marketing spend efficiencies, ROI analysis, optimization initiatives, and development of executive-ready dashboards. Monitor emerging trends and market signals, and act as a scout for net-new growth vectors, whitespace opportunities, and competitive threats. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Bachelor’s degree in Marketing, Business, Analytics, or a related field. 10+ years in marketing strategy, data analytics, or related functions, with 5+ years of people leadership. Expertise with analytics and BI tools (e.g., Tableau, Salesforce). Strong communication, leadership, and cross-functional collaboration skills. Exceptional cross-functional communication and storytelling skills. Comfortable operating in ambiguity and fast-paced environments. Desired: Advanced degree (MBA or similar) strongly preferred. Experience in SaaS, tech, or high-growth environments preferred. Certification in marketing analytics or data science is a plus. Passion for innovation, storytelling, and customer-centric thinking. Location This role will be remote, but needs to be based in the US. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $227,840 - $284,800. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $241,200 - $301,500. Based in the San Francisco Bay area, California: $268,000 - $335,000. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Application deadline information (required for ALL US jobs) Applications for this role are intended to be accepted until November 16th, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Limassol, Cyprus Workplace: hybrid You will lead analytics for the Services cluster — the set of domains that protect trust, safety, and quality across every interaction on our platform. This is where the integrity of the marketplace is safeguarded and where millions of passengers and drivers experience inDrive as a safe and reliable place to be. Your teams will span five closely connected areas: Watchdocs (driver document verification and work with the compliance base), Trust & Safety (everything related to trust and safety in rides — incidents and safety features), Customer Support (both the product tooling for handling user requests and the automation of that work, plus WFM analytics of support agents' performance), Customer Experience (Voice-of-the-Customer feedback and connecting satisfaction metrics such as CSAT/DSAT to business metrics), and Antifraud (protecting rides, transactions, ratings, and more from abuse across inDrive). You will build and manage a team that partners closely with product, operations, support, and compliance to turn a large volume of behavioral, operational, and feedback signals into decisions that reduce risk and improve experience at the same time. From detecting and quantifying fraud across rides and transactions, to measuring the real business impact of safety features and support automation, to linking customer-feedback metrics (CSAT/DSAT) with core business outcomes — your work will define how the company balances protection, cost, and user satisfaction. In this role, you will act as a strategic partner to product and business leaders, as well as to Trust & Safety and Compliance stakeholders — shaping the analytics agenda for the Services cluster, defending its strategy in front of senior leadership, and building scalable processes, metrics, and standards that make trust and safety measurable across the whole platform. Key Responsibilities Own the analytics strategy and roadmap for the Services cluster (Watchdocs, Trust & Safety, Customer Support, CX, Antifraud), align it with company-level priorities, and defend it in front of senior leadership Build, grow, and develop a team of 11+ (analysts) — hiring, mentoring, and setting quality standards across the cluster Lead Antifraud analytics : detect and quantify fraudulent behavior across rides, transactions, and ratings; evaluate the effectiveness of anti-fraud rules and models and their trade-off with false positives Drive Trust & Safety analytics : measure incident rates, evaluate the impact of safety features, and help prioritize initiatives that reduce risk for passengers and drivers Oversee Customer Support analytics : assess support tooling and automation effectiveness, contact-rate drivers, resolution quality, and WFM analytics for agent capacity and performance Lead CX analytics : connect Voice-of-the-Customer metrics (CSAT/DSAT) to business outcomes such as retention and revenue, and turn feedback into prioritized product and operational actions Guide Watchdocs analytics : the document-verification funnel, compliance coverage, and the balance between compliance rigor and a smooth driver onboarding experience Define and standardize metrics, definitions, and monitoring across the cluster; ensure data quality in partnership with DWH, DS, and Engineering Establish best practices in experimentation (A/B testing), causal inference, forecasting, and effect measurement across the team Partner cross-functionally at the company level (Product & Tech & Business, DWH, DS, Engineering) and act as a trusted advisor to Head / Director / C-suite stakeholders Skills, Knowledge and Expertise 6+ years of experience in data or product analytics, preferably in tech, ride-hailing, marketplace, or platform businesses 2+ years of people management, leading teams of 10+ people, including other managers or team leads Strong expertise in SQL and Python (or R), with a solid foundation in statistics and experimentation (A/B testing, causal inference) Proven ability to translate large volumes of behavioral, operational, and feedback data into decisions that balance risk, cost, and user experience Experience partnering with senior stakeholders (Head / Director / C-suite) and forming and defending strategy at the company level Proficiency in BI tools (Tableau, Looker, Redash, or similar) Strong communication skills and the ability to present complex findings clearly to both technical and non-technical audiences English proficiency at B2 or higher for international collaboration Nice to Have Hands-on experience in one of the Services domains — Trust & Safety, Antifraud, Customer Support / WFM, CX / Voice-of-the-Customer, or compliance Experience with fraud / risk modeling, anomaly detection, or safety analytics Familiarity with text / sentiment analysis for customer-feedback data Experience scaling analytics across multiple countries and verticals Why join us Help us challenge injustice by creating fair choices for millions of people across 48 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from EUR 90 700 gross Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid You will lead analytics for our Intercity vertical — a core business driving long-distance travel across cities. This includes car-based rides as well as partner transportation networks such as buses and other regional operators. Your mission is to uncover opportunities for growth, optimize pricing and demand-supply balance, and help shape the future of intercity mobility for millions of users. You will manage a team that partners closely with product, operations, and marketing to improve unit economics, drive market expansion, and deliver a seamless experience for both passengers and drivers. From building forecasting models and demand-planning tools to analyzing new market entry strategies and measuring the impact of promotional initiatives, your work will directly influence business-critical decisions. In this role, you will act as a trusted advisor to product and business stakeholders — aligning analytics with strategic priorities, driving data-informed decisions, and creating scalable processes for the fast-growing Intercity vertical. Key Responsibilities Lead, mentor, and develop the analytics team, supporting performance, growth, and professional development Define and drive the analytics strategy, roadmap, and standards aligned with business and product objectives Oversee key metrics, experimentation, and analytical outputs to ensure quality, consistency, and impact Partner with product, engineering, and business leaders to embed data-driven decision-making across the organization Establish and continuously improve analytics processes, documentation, and governance Ensure data quality, integrity, and effective cross-team data collaboration Skills, Knowledge and Expertise 5+ years of experience in data analytics or data science 2+ years of people management, leadings of 5+ people Analytical mindset: structured and critical thinking, the ability to find a balance between the resources spent and the effect on the business Strong mathematical background with an emphasis on mathematical statistics, optimization theory, time series and causal inference Proficiency in Python and data analysis libraries Proficiency in SQL: ability to work with large amounts of data, write and optimize complex queries, create analytical data marts Experience in creating BI reports: Plotly / Redash / Tableau English: Professional Working Proficiency Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid You will lead analytics for the Services cluster — the set of domains that protect trust, safety, and quality across every interaction on our platform. This is where the integrity of the marketplace is safeguarded and where millions of passengers and drivers experience inDrive as a safe and reliable place to be. Your teams will span five closely connected areas: Watchdocs (driver document verification and work with the compliance base), Trust & Safety (everything related to trust and safety in rides — incidents and safety features), Customer Support (both the product tooling for handling user requests and the automation of that work, plus WFM analytics of support agents' performance), Customer Experience (Voice-of-the-Customer feedback and connecting satisfaction metrics such as CSAT/DSAT to business metrics), and Antifraud (protecting rides, transactions, ratings, and more from abuse across inDrive). You will build and manage a team that partners closely with product, operations, support, and compliance to turn a large volume of behavioral, operational, and feedback signals into decisions that reduce risk and improve experience at the same time. From detecting and quantifying fraud across rides and transactions, to measuring the real business impact of safety features and support automation, to linking customer-feedback metrics (CSAT/DSAT) with core business outcomes — your work will define how the company balances protection, cost, and user satisfaction. In this role, you will act as a strategic partner to product and business leaders, as well as to Trust & Safety and Compliance stakeholders — shaping the analytics agenda for the Services cluster, defending its strategy in front of senior leadership, and building scalable processes, metrics, and standards that make trust and safety measurable across the whole platform. Key Responsibilities Own the analytics strategy and roadmap for the Services cluster (Watchdocs, Trust & Safety, Customer Support, CX, Antifraud), align it with company-level priorities, and defend it in front of senior leadership Build, grow, and develop a team of 11+ (analysts) — hiring, mentoring, and setting quality standards across the cluster Lead Antifraud analytics : detect and quantify fraudulent behavior across rides, transactions, and ratings; evaluate the effectiveness of anti-fraud rules and models and their trade-off with false positives Drive Trust & Safety analytics : measure incident rates, evaluate the impact of safety features, and help prioritize initiatives that reduce risk for passengers and drivers Oversee Customer Support analytics : assess support tooling and automation effectiveness, contact-rate drivers, resolution quality, and WFM analytics for agent capacity and performance Lead CX analytics : connect Voice-of-the-Customer metrics (CSAT/DSAT) to business outcomes such as retention and revenue, and turn feedback into prioritized product and operational actions Guide Watchdocs analytics : the document-verification funnel, compliance coverage, and the balance between compliance rigor and a smooth driver onboarding experience Define and standardize metrics, definitions, and monitoring across the cluster; ensure data quality in partnership with DWH, DS, and Engineering Establish best practices in experimentation (A/B testing), causal inference, forecasting, and effect measurement across the team Partner cross-functionally at the company level (Product & Tech & Business, DWH, DS, Engineering) and act as a trusted advisor to Head / Director / C-suite stakeholders Skills, Knowledge and Expertise 6+ years of experience in data or product analytics, preferably in tech, ride-hailing, marketplace, or platform businesses 2+ years of people management, leading teams of 10+ people, including other managers or team leads Strong expertise in SQL and Python (or R), with a solid foundation in statistics and experimentation (A/B testing, causal inference) Proven ability to translate large volumes of behavioral, operational, and feedback data into decisions that balance risk, cost, and user experience Experience partnering with senior stakeholders (Head / Director / C-suite) and forming and defending strategy at the company level Proficiency in BI tools (Tableau, Looker, Redash, or similar) Strong communication skills and the ability to present complex findings clearly to both technical and non-technical audiences English proficiency at B2 or higher for international collaboration Nice to Have Hands-on experience in one of the Services domains — Trust & Safety, Antifraud, Customer Support / WFM, CX / Voice-of-the-Customer, or compliance Experience with fraud / risk modeling, anomaly detection, or safety analytics Familiarity with text / sentiment analysis for customer-feedback data Experience scaling analytics across multiple countries and verticals Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Manila, Philippines About Advantage HQ Advantage HQ is building the next generation of creator-led growth infrastructure for consumer brands. We combine creative strategy, creator partnerships, performance content, whitelisting, affiliate distribution, paid media, and proprietary technology into one integrated growth system. Our team manages more than $850 million in annual media spend and works with a network of more than 400,000 creators across Meta, TikTok, and YouTube. Through Meteoric AI, our proprietary intelligence platform, we use data and AI to improve decision-making across creative production, creator selection, customer acquisition, campaign performance, and brand growth. We work with ambitious consumer brands across health, wellness, beauty, nutrition, personal care, and lifestyle. The Opportunity As Advantage HQ continues to scale, data and analytics are becoming increasingly important to how we operate, make decisions, and drive growth. We need a leader who can turn complex data into clear insights, build reliable analytics infrastructure, and establish the measurement systems that help our teams understand what is working, what is not, and where to focus next. The Director of Data & Analytics will lead our data strategy, analytics function, and measurement infrastructure across the business. You will work closely with leadership and cross-functional teams to improve visibility into performance, strengthen decision-making, and ensure our data capabilities scale alongside the organization. This role goes beyond reporting. You will build the systems, standards, and analytical capabilities that connect data to business outcomes. What You'll Own Build the data and analytics foundation You will establish the data infrastructure, reporting standards, and analytical frameworks needed to support a growing, multi-channel organization. You will improve data quality, consistency, accessibility, and reliability while ensuring teams can trust the information they use to make decisions. Drive business and performance insights You will translate complex datasets into actionable insights that support business strategy, client outcomes, media performance, creator partnerships, and operational efficiency. You will identify trends, uncover opportunities, investigate performance gaps, and help leadership understand the factors driving growth and profitability. Develop measurement and attribution capabilities You will strengthen how we measure performance across paid media, creative, creator partnerships, affiliate distribution, and customer acquisition. You will improve reporting and measurement frameworks to help teams understand channel effectiveness, creative performance, customer acquisition costs, return on ad spend, and other key business metrics. Build scalable analytics systems You will identify gaps in existing reporting and analytics workflows and develop solutions that reduce manual work, improve visibility, and support faster decision-making. You will partner with engineering and technology teams to improve data pipelines, dashboards, automation, and integrations across our systems. Lead and develop the analytics team You will lead, mentor, and develop data analysts, analytics engineers, and other relevant team members. You will establish clear expectations, analytical standards, and accountability while building a team that delivers reliable insights and meaningful business impact. Partner with cross-functional leadership You will work closely with media, creative, creator partnerships, finance, operations, and executive leadership to align analytics priorities with business objectives. You will help teams move beyond descriptive reporting toward better forecasting, experimentation, performance optimization, and data-informed decision-making. Establish a data-driven operating culture You will build processes that make data a consistent part of how the organization operates. You will promote clear KPI definitions, reliable reporting, analytical rigor, and a shared understanding of performance across teams. Who You Are You are an experienced data and analytics leader who understands both the technical foundations of data and its practical application to business decisions. You know how to build scalable analytics capabilities, develop strong teams, and translate complex information into clear recommendations for senior stakeholders. You are comfortable working in a fast-growing environment where systems and processes need to evolve quickly. You can balance strategic leadership with hands-on problem-solving when needed. You care about data accuracy, but you also understand that the ultimate value of analytics comes from improving decisions, performance, and business outcomes. Experience We Value 8+ years of experience in data analytics, business intelligence, data engineering, performance analytics, or a related field, including leadership experience. Experience building or scaling a data and analytics function. Strong SQL skills and experience working with modern data warehouses and analytics infrastructure. Experience with BI and visualization tools such as Looker, Tableau, Power BI, or similar platforms. Experience designing dashboards, KPI frameworks, reporting systems, and performance measurement processes. Strong understanding of marketing analytics, paid media measurement, attribution, customer acquisition, and e-commerce performance. Experience working with large, complex datasets from multiple platforms and business systems. Familiarity with data pipelines, ETL/ELT processes, data modeling, and data quality management. Experience managing, mentoring, and developing analytics professionals. Strong business judgment and the ability to communicate analytical findings to non-technical stakeholders. Experience in an agency, DTC, e-commerce, performance marketing, or high-growth technology environment is valuable. Familiarity with AI-driven analytics, predictive modeling, experimentation, or marketing measurement solutions is a plus. Why Join Advantage HQ This is an opportunity to shape the data and analytics capabilities behind a rapidly growing, creator-led growth organization. You will have significant ownership over how we collect, structure, measure, and use data across the business. Your work will directly influence strategic decisions, operational efficiency, media performance, and our ability to scale. You will help build the analytical foundation that connects our media spend, creative output, creator network, proprietary technology, and client outcomes into a clearer picture of business performance. Location Fully remote. We have built the infrastructure for high-performance distributed teams and trust our people to do their best work from wherever they work best. We care far more about ownership, judgment, analytical rigor, and execution than geography. If you're excited about building scalable data systems, leading high-performing analytics teams, uncovering insights that drive growth, and helping a rapidly growing organization make better decisions, we'd love to hear from you.

Location: Davao, Philippines About Advantage HQ Advantage HQ is building the next generation of creator-led growth infrastructure for consumer brands. We combine creative strategy, creator partnerships, performance content, whitelisting, affiliate distribution, paid media, and proprietary technology into one integrated growth system. Our team manages more than $850 million in annual media spend and works with a network of more than 400,000 creators across Meta, TikTok, and YouTube. Through Meteoric AI, our proprietary intelligence platform, we use data and AI to improve decision-making across creative production, creator selection, customer acquisition, campaign performance, and brand growth. We work with ambitious consumer brands across health, wellness, beauty, nutrition, personal care, and lifestyle. The Opportunity As Advantage HQ continues to scale, data and analytics are becoming increasingly important to how we operate, make decisions, and drive growth. We need a leader who can turn complex data into clear insights, build reliable analytics infrastructure, and establish the measurement systems that help our teams understand what is working, what is not, and where to focus next. The Director of Data & Analytics will lead our data strategy, analytics function, and measurement infrastructure across the business. You will work closely with leadership and cross-functional teams to improve visibility into performance, strengthen decision-making, and ensure our data capabilities scale alongside the organization. This role goes beyond reporting. You will build the systems, standards, and analytical capabilities that connect data to business outcomes. What You'll Own Build the data and analytics foundation You will establish the data infrastructure, reporting standards, and analytical frameworks needed to support a growing, multi-channel organization. You will improve data quality, consistency, accessibility, and reliability while ensuring teams can trust the information they use to make decisions. Drive business and performance insights You will translate complex datasets into actionable insights that support business strategy, client outcomes, media performance, creator partnerships, and operational efficiency. You will identify trends, uncover opportunities, investigate performance gaps, and help leadership understand the factors driving growth and profitability. Develop measurement and attribution capabilities You will strengthen how we measure performance across paid media, creative, creator partnerships, affiliate distribution, and customer acquisition. You will improve reporting and measurement frameworks to help teams understand channel effectiveness, creative performance, customer acquisition costs, return on ad spend, and other key business metrics. Build scalable analytics systems You will identify gaps in existing reporting and analytics workflows and develop solutions that reduce manual work, improve visibility, and support faster decision-making. You will partner with engineering and technology teams to improve data pipelines, dashboards, automation, and integrations across our systems. Lead and develop the analytics team You will lead, mentor, and develop data analysts, analytics engineers, and other relevant team members. You will establish clear expectations, analytical standards, and accountability while building a team that delivers reliable insights and meaningful business impact. Partner with cross-functional leadership You will work closely with media, creative, creator partnerships, finance, operations, and executive leadership to align analytics priorities with business objectives. You will help teams move beyond descriptive reporting toward better forecasting, experimentation, performance optimization, and data-informed decision-making. Establish a data-driven operating culture You will build processes that make data a consistent part of how the organization operates. You will promote clear KPI definitions, reliable reporting, analytical rigor, and a shared understanding of performance across teams. Who You Are You are an experienced data and analytics leader who understands both the technical foundations of data and its practical application to business decisions. You know how to build scalable analytics capabilities, develop strong teams, and translate complex information into clear recommendations for senior stakeholders. You are comfortable working in a fast-growing environment where systems and processes need to evolve quickly. You can balance strategic leadership with hands-on problem-solving when needed. You care about data accuracy, but you also understand that the ultimate value of analytics comes from improving decisions, performance, and business outcomes. Experience We Value 8+ years of experience in data analytics, business intelligence, data engineering, performance analytics, or a related field, including leadership experience. Experience building or scaling a data and analytics function. Strong SQL skills and experience working with modern data warehouses and analytics infrastructure. Experience with BI and visualization tools such as Looker, Tableau, Power BI, or similar platforms. Experience designing dashboards, KPI frameworks, reporting systems, and performance measurement processes. Strong understanding of marketing analytics, paid media measurement, attribution, customer acquisition, and e-commerce performance. Experience working with large, complex datasets from multiple platforms and business systems. Familiarity with data pipelines, ETL/ELT processes, data modeling, and data quality management. Experience managing, mentoring, and developing analytics professionals. Strong business judgment and the ability to communicate analytical findings to non-technical stakeholders. Experience in an agency, DTC, e-commerce, performance marketing, or high-growth technology environment is valuable. Familiarity with AI-driven analytics, predictive modeling, experimentation, or marketing measurement solutions is a plus. Why Join Advantage HQ This is an opportunity to shape the data and analytics capabilities behind a rapidly growing, creator-led growth organization. You will have significant ownership over how we collect, structure, measure, and use data across the business. Your work will directly influence strategic decisions, operational efficiency, media performance, and our ability to scale. You will help build the analytical foundation that connects our media spend, creative output, creator network, proprietary technology, and client outcomes into a clearer picture of business performance. Location Fully remote. We have built the infrastructure for high-performance distributed teams and trust our people to do their best work from wherever they work best. We care far more about ownership, judgment, analytical rigor, and execution than geography. If you're excited about building scalable data systems, leading high-performing analytics teams, uncovering insights that drive growth, and helping a rapidly growing organization make better decisions, we'd love to hear from you.

Location: Cebu, Philippines About Advantage HQ Advantage HQ is building the next generation of creator-led growth infrastructure for consumer brands. We combine creative strategy, creator partnerships, performance content, whitelisting, affiliate distribution, paid media, and proprietary technology into one integrated growth system. Our team manages more than $850 million in annual media spend and works with a network of more than 400,000 creators across Meta, TikTok, and YouTube. Through Meteoric AI, our proprietary intelligence platform, we use data and AI to improve decision-making across creative production, creator selection, customer acquisition, campaign performance, and brand growth. We work with ambitious consumer brands across health, wellness, beauty, nutrition, personal care, and lifestyle. The Opportunity As Advantage HQ continues to scale, data and analytics are becoming increasingly important to how we operate, make decisions, and drive growth. We need a leader who can turn complex data into clear insights, build reliable analytics infrastructure, and establish the measurement systems that help our teams understand what is working, what is not, and where to focus next. The Director of Data & Analytics will lead our data strategy, analytics function, and measurement infrastructure across the business. You will work closely with leadership and cross-functional teams to improve visibility into performance, strengthen decision-making, and ensure our data capabilities scale alongside the organization. This role goes beyond reporting. You will build the systems, standards, and analytical capabilities that connect data to business outcomes. What You'll Own Build the data and analytics foundation You will establish the data infrastructure, reporting standards, and analytical frameworks needed to support a growing, multi-channel organization. You will improve data quality, consistency, accessibility, and reliability while ensuring teams can trust the information they use to make decisions. Drive business and performance insights You will translate complex datasets into actionable insights that support business strategy, client outcomes, media performance, creator partnerships, and operational efficiency. You will identify trends, uncover opportunities, investigate performance gaps, and help leadership understand the factors driving growth and profitability. Develop measurement and attribution capabilities You will strengthen how we measure performance across paid media, creative, creator partnerships, affiliate distribution, and customer acquisition. You will improve reporting and measurement frameworks to help teams understand channel effectiveness, creative performance, customer acquisition costs, return on ad spend, and other key business metrics. Build scalable analytics systems You will identify gaps in existing reporting and analytics workflows and develop solutions that reduce manual work, improve visibility, and support faster decision-making. You will partner with engineering and technology teams to improve data pipelines, dashboards, automation, and integrations across our systems. Lead and develop the analytics team You will lead, mentor, and develop data analysts, analytics engineers, and other relevant team members. You will establish clear expectations, analytical standards, and accountability while building a team that delivers reliable insights and meaningful business impact. Partner with cross-functional leadership You will work closely with media, creative, creator partnerships, finance, operations, and executive leadership to align analytics priorities with business objectives. You will help teams move beyond descriptive reporting toward better forecasting, experimentation, performance optimization, and data-informed decision-making. Establish a data-driven operating culture You will build processes that make data a consistent part of how the organization operates. You will promote clear KPI definitions, reliable reporting, analytical rigor, and a shared understanding of performance across teams. Who You Are You are an experienced data and analytics leader who understands both the technical foundations of data and its practical application to business decisions. You know how to build scalable analytics capabilities, develop strong teams, and translate complex information into clear recommendations for senior stakeholders. You are comfortable working in a fast-growing environment where systems and processes need to evolve quickly. You can balance strategic leadership with hands-on problem-solving when needed. You care about data accuracy, but you also understand that the ultimate value of analytics comes from improving decisions, performance, and business outcomes. Experience We Value 8+ years of experience in data analytics, business intelligence, data engineering, performance analytics, or a related field, including leadership experience. Experience building or scaling a data and analytics function. Strong SQL skills and experience working with modern data warehouses and analytics infrastructure. Experience with BI and visualization tools such as Looker, Tableau, Power BI, or similar platforms. Experience designing dashboards, KPI frameworks, reporting systems, and performance measurement processes. Strong understanding of marketing analytics, paid media measurement, attribution, customer acquisition, and e-commerce performance. Experience working with large, complex datasets from multiple platforms and business systems. Familiarity with data pipelines, ETL/ELT processes, data modeling, and data quality management. Experience managing, mentoring, and developing analytics professionals. Strong business judgment and the ability to communicate analytical findings to non-technical stakeholders. Experience in an agency, DTC, e-commerce, performance marketing, or high-growth technology environment is valuable. Familiarity with AI-driven analytics, predictive modeling, experimentation, or marketing measurement solutions is a plus. Why Join Advantage HQ This is an opportunity to shape the data and analytics capabilities behind a rapidly growing, creator-led growth organization. You will have significant ownership over how we collect, structure, measure, and use data across the business. Your work will directly influence strategic decisions, operational efficiency, media performance, and our ability to scale. You will help build the analytical foundation that connects our media spend, creative output, creator network, proprietary technology, and client outcomes into a clearer picture of business performance. Location Fully remote. We have built the infrastructure for high-performance distributed teams and trust our people to do their best work from wherever they work best. We care far more about ownership, judgment, analytical rigor, and execution than geography. If you're excited about building scalable data systems, leading high-performing analytics teams, uncovering insights that drive growth, and helping a rapidly growing organization make better decisions, we'd love to hear from you.

Location: Manila, Philippines About Advantage HQ Advantage HQ is building the next generation of creator-led growth infrastructure for consumer brands. We combine creative strategy, creator partnerships, performance content, whitelisting, affiliate distribution, paid media, and proprietary technology into one integrated growth system. Our team manages more than $850 million in annual media spend and works with a network of more than 400,000 creators across Meta, TikTok, and YouTube. Through Meteoric AI, our proprietary intelligence platform, we use data and AI to improve decision-making across creative production, creator selection, customer acquisition, campaign performance, and brand growth. We work with ambitious consumer brands across health, wellness, beauty, nutrition, personal care, and lifestyle. The Opportunity As Advantage HQ continues to scale, data and analytics are becoming increasingly important to how we operate, make decisions, and drive growth. We need a leader who can turn complex data into clear insights, build reliable analytics infrastructure, and establish the measurement systems that help our teams understand what is working, what is not, and where to focus next. The Director of Data & Analytics will lead our data strategy, analytics function, and measurement infrastructure across the business. You will work closely with leadership and cross-functional teams to improve visibility into performance, strengthen decision-making, and ensure our data capabilities scale alongside the organization. This role goes beyond reporting. You will build the systems, standards, and analytical capabilities that connect data to business outcomes. What You'll Own Build the data and analytics foundation You will establish the data infrastructure, reporting standards, and analytical frameworks needed to support a growing, multi-channel organization. You will improve data quality, consistency, accessibility, and reliability while ensuring teams can trust the information they use to make decisions. Drive business and performance insights You will translate complex datasets into actionable insights that support business strategy, client outcomes, media performance, creator partnerships, and operational efficiency. You will identify trends, uncover opportunities, investigate performance gaps, and help leadership understand the factors driving growth and profitability. Develop measurement and attribution capabilities You will strengthen how we measure performance across paid media, creative, creator partnerships, affiliate distribution, and customer acquisition. You will improve reporting and measurement frameworks to help teams understand channel effectiveness, creative performance, customer acquisition costs, return on ad spend, and other key business metrics. Build scalable analytics systems You will identify gaps in existing reporting and analytics workflows and develop solutions that reduce manual work, improve visibility, and support faster decision-making. You will partner with engineering and technology teams to improve data pipelines, dashboards, automation, and integrations across our systems. Lead and develop the analytics team You will lead, mentor, and develop data analysts, analytics engineers, and other relevant team members. You will establish clear expectations, analytical standards, and accountability while building a team that delivers reliable insights and meaningful business impact. Partner with cross-functional leadership You will work closely with media, creative, creator partnerships, finance, operations, and executive leadership to align analytics priorities with business objectives. You will help teams move beyond descriptive reporting toward better forecasting, experimentation, performance optimization, and data-informed decision-making. Establish a data-driven operating culture You will build processes that make data a consistent part of how the organization operates. You will promote clear KPI definitions, reliable reporting, analytical rigor, and a shared understanding of performance across teams. Who You Are You are an experienced data and analytics leader who understands both the technical foundations of data and its practical application to business decisions. You know how to build scalable analytics capabilities, develop strong teams, and translate complex information into clear recommendations for senior stakeholders. You are comfortable working in a fast-growing environment where systems and processes need to evolve quickly. You can balance strategic leadership with hands-on problem-solving when needed. You care about data accuracy, but you also understand that the ultimate value of analytics comes from improving decisions, performance, and business outcomes. Experience We Value 8+ years of experience in data analytics, business intelligence, data engineering, performance analytics, or a related field, including leadership experience. Experience building or scaling a data and analytics function. Strong SQL skills and experience working with modern data warehouses and analytics infrastructure. Experience with BI and visualization tools such as Looker, Tableau, Power BI, or similar platforms. Experience designing dashboards, KPI frameworks, reporting systems, and performance measurement processes. Strong understanding of marketing analytics, paid media measurement, attribution, customer acquisition, and e-commerce performance. Experience working with large, complex datasets from multiple platforms and business systems. Familiarity with data pipelines, ETL/ELT processes, data modeling, and data quality management. Experience managing, mentoring, and developing analytics professionals. Strong business judgment and the ability to communicate analytical findings to non-technical stakeholders. Experience in an agency, DTC, e-commerce, performance marketing, or high-growth technology environment is valuable. Familiarity with AI-driven analytics, predictive modeling, experimentation, or marketing measurement solutions is a plus. Why Join Advantage HQ This is an opportunity to shape the data and analytics capabilities behind a rapidly growing, creator-led growth organization. You will have significant ownership over how we collect, structure, measure, and use data across the business. Your work will directly influence strategic decisions, operational efficiency, media performance, and our ability to scale. You will help build the analytical foundation that connects our media spend, creative output, creator network, proprietary technology, and client outcomes into a clearer picture of business performance. Location Fully remote. We have built the infrastructure for high-performance distributed teams and trust our people to do their best work from wherever they work best. We care far more about ownership, judgment, analytical rigor, and execution than geography. If you're excited about building scalable data systems, leading high-performing analytics teams, uncovering insights that drive growth, and helping a rapidly growing organization make better decisions, we'd love to hear from you.

Location: Davao, Philippines About Advantage HQ Advantage HQ is building the next generation of creator-led growth infrastructure for consumer brands. We combine creative strategy, creator partnerships, performance content, whitelisting, affiliate distribution, paid media, and proprietary technology into one integrated growth system. Our team manages more than $850 million in annual media spend and works with a network of more than 400,000 creators across Meta, TikTok, and YouTube. Through Meteoric AI, our proprietary intelligence platform, we use data and AI to improve decision-making across creative production, creator selection, customer acquisition, campaign performance, and brand growth. We work with ambitious consumer brands across health, wellness, beauty, nutrition, personal care, and lifestyle. The Opportunity As Advantage HQ continues to scale, data and analytics are becoming increasingly important to how we operate, make decisions, and drive growth. We need a leader who can turn complex data into clear insights, build reliable analytics infrastructure, and establish the measurement systems that help our teams understand what is working, what is not, and where to focus next. The Director of Data & Analytics will lead our data strategy, analytics function, and measurement infrastructure across the business. You will work closely with leadership and cross-functional teams to improve visibility into performance, strengthen decision-making, and ensure our data capabilities scale alongside the organization. This role goes beyond reporting. You will build the systems, standards, and analytical capabilities that connect data to business outcomes. What You'll Own Build the data and analytics foundation You will establish the data infrastructure, reporting standards, and analytical frameworks needed to support a growing, multi-channel organization. You will improve data quality, consistency, accessibility, and reliability while ensuring teams can trust the information they use to make decisions. Drive business and performance insights You will translate complex datasets into actionable insights that support business strategy, client outcomes, media performance, creator partnerships, and operational efficiency. You will identify trends, uncover opportunities, investigate performance gaps, and help leadership understand the factors driving growth and profitability. Develop measurement and attribution capabilities You will strengthen how we measure performance across paid media, creative, creator partnerships, affiliate distribution, and customer acquisition. You will improve reporting and measurement frameworks to help teams understand channel effectiveness, creative performance, customer acquisition costs, return on ad spend, and other key business metrics. Build scalable analytics systems You will identify gaps in existing reporting and analytics workflows and develop solutions that reduce manual work, improve visibility, and support faster decision-making. You will partner with engineering and technology teams to improve data pipelines, dashboards, automation, and integrations across our systems. Lead and develop the analytics team You will lead, mentor, and develop data analysts, analytics engineers, and other relevant team members. You will establish clear expectations, analytical standards, and accountability while building a team that delivers reliable insights and meaningful business impact. Partner with cross-functional leadership You will work closely with media, creative, creator partnerships, finance, operations, and executive leadership to align analytics priorities with business objectives. You will help teams move beyond descriptive reporting toward better forecasting, experimentation, performance optimization, and data-informed decision-making. Establish a data-driven operating culture You will build processes that make data a consistent part of how the organization operates. You will promote clear KPI definitions, reliable reporting, analytical rigor, and a shared understanding of performance across teams. Who You Are You are an experienced data and analytics leader who understands both the technical foundations of data and its practical application to business decisions. You know how to build scalable analytics capabilities, develop strong teams, and translate complex information into clear recommendations for senior stakeholders. You are comfortable working in a fast-growing environment where systems and processes need to evolve quickly. You can balance strategic leadership with hands-on problem-solving when needed. You care about data accuracy, but you also understand that the ultimate value of analytics comes from improving decisions, performance, and business outcomes. Experience We Value 8+ years of experience in data analytics, business intelligence, data engineering, performance analytics, or a related field, including leadership experience. Experience building or scaling a data and analytics function. Strong SQL skills and experience working with modern data warehouses and analytics infrastructure. Experience with BI and visualization tools such as Looker, Tableau, Power BI, or similar platforms. Experience designing dashboards, KPI frameworks, reporting systems, and performance measurement processes. Strong understanding of marketing analytics, paid media measurement, attribution, customer acquisition, and e-commerce performance. Experience working with large, complex datasets from multiple platforms and business systems. Familiarity with data pipelines, ETL/ELT processes, data modeling, and data quality management. Experience managing, mentoring, and developing analytics professionals. Strong business judgment and the ability to communicate analytical findings to non-technical stakeholders. Experience in an agency, DTC, e-commerce, performance marketing, or high-growth technology environment is valuable. Familiarity with AI-driven analytics, predictive modeling, experimentation, or marketing measurement solutions is a plus. Why Join Advantage HQ This is an opportunity to shape the data and analytics capabilities behind a rapidly growing, creator-led growth organization. You will have significant ownership over how we collect, structure, measure, and use data across the business. Your work will directly influence strategic decisions, operational efficiency, media performance, and our ability to scale. You will help build the analytical foundation that connects our media spend, creative output, creator network, proprietary technology, and client outcomes into a clearer picture of business performance. Location Fully remote. We have built the infrastructure for high-performance distributed teams and trust our people to do their best work from wherever they work best. We care far more about ownership, judgment, analytical rigor, and execution than geography. If you're excited about building scalable data systems, leading high-performing analytics teams, uncovering insights that drive growth, and helping a rapidly growing organization make better decisions, we'd love to hear from you.

Location: Annapolis Junction, MD, United States Job Title Senior‑Level Analytic Engineer (Java, Python) Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public‑sector clients. Locations Annapolis Junction, MD Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Senior‑Level Analytic Engineer to support the Access Discovery and Optimization mission. The engineer will work closely with mission stakeholders to capture requirements, develop analytic capabilities, and deploy solutions across customer‑supported tools to automate and enable computer network data and metadata analysis. Key Duties • Collaborate with mission and customer stakeholders to develop analytics using data from multiple cyber and SIGINT sources • Develop analytic capabilities used across the enterprise to support multiple mission objectives • Maintain existing applications and develop new tradecraft, techniques, and capabilities • Analyze related data to identify network devices and new opportunities supporting mission discovery Requirements • Bachelor’s degree with eight (8) years of relevant experience, or equivalent • Proficiency in object‑oriented development using Java and Python • Experience using Jupyter Notebooks • Experience with MapReduce • Knowledge of customer corporate tools and data repositories • Active TS/SCI with Polygraph Compensation • Salary range: $155,000 – $175,000 • Benefits

Location: United States Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We're a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the role You join a customer's marketing data problem and stay until it runs in production. One month it's a pharma brand that needs validated files delivered to its agency every night. The next it's a DTC brand that wants attribution it can defend, or an agency running forty client dashboards on one model. You own three to six accounts end to end: the discovery calls, the data model, the pipeline, the dashboard, the handoff. Claude Code is your pair, not a checkbox. What you'll do Run weekly customer calls and turn what you hear into a scoped build with dates. Design and maintain the models: SQL and dbt on ClickHouse, BigQuery or Snowflake, kept correct as sources change. Write Python pipelines on Temporal when the platform doesn't cover the case: SFTP feeds, validation rules, custom joins, audit emails. Ship dashboards in Looker, Power BI or Tableau, whichever the customer already runs. QA your own delivery before the customer sees it. Send platform gaps back to Product with a reproducible case. You'll fit if You have 3+ years shipping data work for people outside your own team: an agency, a consultancy, professional services, or an in-house analytics team with internal customers. SQL is your first language and Python a comfortable second. You've used Claude Code, Codex or Cursor for real work and can say where they go wrong. You can hold a call with a marketing director and a data engineer in the same hour and both leave with a decision. English C1 or better. Helps Ad-platform, GA4 or CRM data. dbt in production. MMM or attribution. Temporal or Airflow. What we offer Remote-first environment Medical and dental benefits 401(k) plan Paid time off and US holidays Professional development reimbursement

Location: United States Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the Role The Senior Solutions Engineer's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows. We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients. Responsibilities Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup. Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations. Manage and enhance data transformations with dbt where necessary. Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights. Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness. Use Git for version control and collaboration. Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly. Leverage AI tools to be 10x more productive than the average analyst. Must Have Qualifications 3+ years of experience as Data Analyst with marketing data Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all. Proficiency in SQL Proficiency in data modelling (dbt preferred) Knowledge of Google Analytics (advanced level, for business understanding) Experience with Git English C1 level with excellent written and verbal communication ( client-facing role ) Strong analytical skills, proactive problem-solving, and high attention to detail Comfortable with ambiguity and able to drive clarity with clients and internal teams Hands-on experience with QA/UAT processes Proficiency with AI tools and ability to learn new ways of working is essential Nice to Have Knowledge of Google Analytics Data Streams . Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.). Understanding of Marketing Mix Modeling (MMM) concepts . Prior experience in marketing agency. What We Offer Remote-first environment. Competitive base salary. Stock options. Medical, and dental benefits. 401K plan. Unlimited PTO. 13 paid holidays. Professional development reimbursement.

Location: United States Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the Role The Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows. We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients. Responsibilities Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup. Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations. Manage and enhance data transformations with dbt where necessary. Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights. Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness. Use Git for version control and collaboration. Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly. Leverage AI tools to be 10x more productive than the average analyst. Must Have Qualifications 3+ years of experience as Data Analyst with marketing data Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all. Proficiency in SQL Proficiency in data modelling (dbt preferred) Knowledge of Google Analytics (advanced level, for business understanding) Experience with Git English C1 level with excellent written and verbal communication ( client-facing role ) Strong analytical skills, proactive problem-solving, and high attention to detail Comfortable with ambiguity and able to drive clarity with clients and internal teams Hands-on experience with QA/UAT processes Proficiency with AI tools and ability to learn new ways of working is essential Nice to Have Knowledge of Google Analytics Data Streams . Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.). Understanding of Marketing Mix Modeling (MMM) concepts . Prior experience in marketing agency. What We Offer Remote-first environment. Competitive base salary. Stock options. Medical, and dental benefits. 401K plan. Unlimited PTO. 13 paid holidays. Professional development reimbursement.

Location: United States Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the Role The Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows. We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients. Responsibilities Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup. Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations. Manage and enhance data transformations with dbt where necessary. Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights. Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness. Use Git for version control and collaboration. Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly. Leverage AI tools to be 10x more productive than the average analyst. Must Have Qualifications 3+ years of experience as Data Analyst with marketing data Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all. Proficiency in SQL Proficiency in data modelling (dbt preferred) Knowledge of Google Analytics (advanced level, for business understanding) Experience with Git English C1 level with excellent written and verbal communication ( client-facing role ) Strong analytical skills, proactive problem-solving, and high attention to detail Comfortable with ambiguity and able to drive clarity with clients and internal teams Hands-on experience with QA/UAT processes Proficiency with AI tools and ability to learn new ways of working is essential Nice to Have Knowledge of Google Analytics Data Streams . Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.). Understanding of Marketing Mix Modeling (MMM) concepts . Prior experience in marketing agency. What We Offer Remote-first environment. Competitive base salary. Stock options. Medical, and dental benefits. 401K plan. Unlimited PTO. 13 paid holidays. Professional development reimbursement.

Location: United States Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the Role The Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows. We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients. Responsibilities Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup. Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations. Manage and enhance data transformations with dbt where necessary. Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights. Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness. Use Git for version control and collaboration. Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly. Leverage AI tools to be 10x more productive than the average analyst. Must Have Qualifications 3+ years of experience as Data Analyst with marketing data Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all. Proficiency in SQL Proficiency in data modelling (dbt preferred) Knowledge of Google Analytics (advanced level, for business understanding) Experience with Git English C1 level with excellent written and verbal communication ( client-facing role ) Strong analytical skills, proactive problem-solving, and high attention to detail Comfortable with ambiguity and able to drive clarity with clients and internal teams Hands-on experience with QA/UAT processes Proficiency with AI tools and ability to learn new ways of working is essential Nice to Have Knowledge of Google Analytics Data Streams . Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.). Understanding of Marketing Mix Modeling (MMM) concepts . Prior experience in marketing agency. What We Offer Remote-first environment. Competitive base salary. Stock options. Medical, and dental benefits. 401K plan. Unlimited PTO. 13 paid holidays. Professional development reimbursement.

Location: AL, United States Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the Role The Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows. We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients. Responsibilities Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup. Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations. Manage and enhance data transformations with dbt where necessary. Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights. Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness. Use Git for version control and collaboration. Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly. Leverage AI tools to be 10x more productive than the average analyst. Must Have Qualifications 3+ years of experience as Data Analyst with marketing data Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all. Proficiency in SQL Proficiency in data modelling (dbt preferred) Knowledge of Google Analytics (advanced level, for business understanding) Experience with Git English C1 level with excellent written and verbal communication ( client-facing role ) Strong analytical skills, proactive problem-solving, and high attention to detail Comfortable with ambiguity and able to drive clarity with clients and internal teams Hands-on experience with QA/UAT processes Proficiency with AI tools and ability to learn new ways of working is essential Nice to Have Knowledge of Google Analytics Data Streams . Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.). Understanding of Marketing Mix Modeling (MMM) concepts . Prior experience in marketing agency. What We Offer Remote-first environment. Competitive base salary. Stock options. Medical, and dental benefits. 401K plan. Unlimited PTO. 13 paid holidays. Professional development reimbursement.

Location: GA, United States Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the Role The Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows. We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients. Responsibilities Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup. Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations. Manage and enhance data transformations with dbt where necessary. Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights. Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness. Use Git for version control and collaboration. Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly. Leverage AI tools to be 10x more productive than the average analyst. Must Have Qualifications 3+ years of experience as Data Analyst with marketing data Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all. Proficiency in SQL Proficiency in data modelling (dbt preferred) Knowledge of Google Analytics (advanced level, for business understanding) Experience with Git English C1 level with excellent written and verbal communication ( client-facing role ) Strong analytical skills, proactive problem-solving, and high attention to detail Comfortable with ambiguity and able to drive clarity with clients and internal teams Hands-on experience with QA/UAT processes Proficiency with AI tools and ability to learn new ways of working is essential Nice to Have Knowledge of Google Analytics Data Streams . Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.). Understanding of Marketing Mix Modeling (MMM) concepts . Prior experience in marketing agency. What We Offer Remote-first environment. Competitive base salary. Stock options. Medical, and dental benefits. 401K plan. Unlimited PTO. 13 paid holidays. Professional development reimbursement.

Location: United States Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the Role The Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows. We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients. Responsibilities Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup. Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations. Manage and enhance data transformations with dbt where necessary. Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights. Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness. Use Git for version control and collaboration. Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly. Leverage AI tools to be 10x more productive than the average analyst. Must Have Qualifications 3+ years of experience as Data Analyst with marketing data Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all. Proficiency in SQL Proficiency in data modelling (dbt preferred) Knowledge of Google Analytics (advanced level, for business understanding) Experience with Git English C1 level with excellent written and verbal communication ( client-facing role ) Strong analytical skills, proactive problem-solving, and high attention to detail Comfortable with ambiguity and able to drive clarity with clients and internal teams Hands-on experience with QA/UAT processes Proficiency with AI tools and ability to learn new ways of working is essential Nice to Have Knowledge of Google Analytics Data Streams . Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.). Understanding of Marketing Mix Modeling (MMM) concepts . Prior experience in marketing agency. What We Offer Remote-first environment. Competitive base salary. Stock options. Medical, and dental benefits. 401K plan. Unlimited PTO. 13 paid holidays. Professional development reimbursement.