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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 AI Engineer (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 AI Engineer to support the AI and Emerging Technologies mission. The engineer will work closely with mission stakeholders to capture requirements, support structured planning, improve certification processes using AI/ML tooling, and develop AI‑enabled capabilities including fine‑tuning Large Language Models to enhance vulnerability identification and mitigation. Key Duties • Collaborate with technical leadership to design, develop, and maintain LLM orchestration frameworks • Integrate static analyzers, retrieval‑augmented generation (RAG) systems, and automated testing pipelines • Clean, transform, and vectorize documentation, source code, and test artifacts for LLM consumption • Design and implement database solutions to support RAG architectures, artifact storage, and audit trails • Work with systems engineers to architect and deploy networked AI tools within secure enclaves • Perform performance profiling, optimization, and scalability analysis of mission systems • Support security assessments and Authority to Operate (ATO) processes Requirements • Bachelor’s degree with eight (8) years of relevant experience, or Master’s degree with six (6) years, or Doctoral degree with four (4) years • Associate’s degree with ten (10) years of clearly related experience may be considered • Degree in Computer Science or a related field with substantial coursework in algorithms, data structures, programming languages, computer architecture, logic, and advanced mathematics • Proficiency in Python and AI/ML integration • Experience with LLMs, static analyzers, RAG frameworks, and relational and vector databases • Familiarity with Agile methodologies and tools such as Git, Jira, and Confluence • Relevant experience across the software development lifecycle • Active TS/SCI with Polygraph Compensation • Salary range: $155,000 – $175,000 • Benefits

Location: Annapolis Junction, MD, United States Job Title Mid‑Level AI Engineer (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 Mid‑Level AI Engineer to support the AI and Emerging Technologies mission. The engineer will work closely with mission stakeholders to capture requirements, support structured planning, improve certification processes using AI/ML tooling, and develop AI‑enabled capabilities including fine‑tuning Large Language Models to enhance vulnerability identification and mitigation. Key Duties • Collaborate with technical leadership to design, develop, and maintain LLM orchestration frameworks • Integrate static analyzers, retrieval‑augmented generation (RAG) systems, and automated testing pipelines • Clean, transform, and vectorize documentation, source code, and test artifacts for LLM consumption • Design and implement database solutions supporting RAG architectures, artifact storage, and audit trails • Work with systems engineers to architect and deploy networked AI tools within secure enclaves • Perform performance profiling, optimization, and scalability analysis of mission systems • Support security assessments and Authority to Operate (ATO) activities Requirements • Bachelor’s degree with five (5) years of relevant experience, or Master’s degree with three (3) years, or Doctoral degree with no required experience • Associate’s degree with seven (7) years of clearly related experience may be considered • Degree in Computer Science or a related field with substantial coursework in algorithms, data structures, programming languages, computer architecture, and mathematics • Proficiency in Python and AI/ML integration • Experience with LLMs, static analyzers, RAG frameworks, and relational or vector databases • Familiarity with Agile development and tools such as Git, Jira, and Confluence • Relevant experience across the software development lifecycle • Active TS/SCI with Polygraph Compensation • Salary range: $105,000 – $125,000 • Benefits

Location: Edinburgh, IN, United States Senior Systems Engineer About SITE 525 SITE 525 is at the forefront of delivering cutting-edge training solutions for information maneuver specialists. Our mission is to empower the warfighter with realistic, high-fidelity training environments that simulate the challenges of modern information warfare. SITE 525 is looking for a Senior Systems Engineer to join our team support the Cybertropolis Technology Environment Platform (CTEP). The CTEP provides a one-of-a-kind platform for DoD and Joint, Interagency, Intergovernmental, and Multinational (JIIM) partners to conduct training or Research, Development, Testing & Experimentation (RDT&E) in a wide variety of emerging technology areas, but primarily related to cyberspace and cyber-electromagnetic (CEMA) operations. This position may require the employee to travel within the CONUS and to keep a flexible 40-hour week. This role sits at Camp Atterbury in Indiana and is contingent upon award. Responsibilities: Manage, maintain, troubleshoot, and restore hardware, operating systems, applications, and software including updates, security patches, and backups. Engineer, build, and configure computer networks including routing, switching, firewalls, DNS, Active Directory, VPNs, VLANs, SANs utilizing bare metal systems as well as virtualized systems (VMware). Collaborates with others to develop the best way to tackle complex technological infrastructure, security, or development problems. Participates in architecture and software development activities. Tier 2 engineering and administration support for customer events, as required. Working in ambiguous environment and collaborating across multiple areas. Required Qualifications: Windows and Linux enterprise systems engineering and administration experience. Experience working with a wide variety of technology including but not limited to:  Cellular systems, camera systems, Industrial Control Systems, Internet of Things (IoT) devices, building management systems, and radio frequency (RF) communications devices. Meet IAT Level 2 requirements of DoD 8570.1M by holding one of the following: CCNA Security CySA+ ** GICSP GSEC Security+ CE CND or SSCP. Bachelor’s degree in a technical discipline or equivalent experience in network operations Hold or be able to acquire an interim Top Secret clearance within 30 days of hire. Maintain active Top Secret/SCI Security Clearance. Preferred Qualifications: Operational experience in Cyberspace Operations and/or Information Warfare Cellular and Industrial Control Systems engineering and administration experience. Experience with containers and container orchestration services, automation, provisioning, and imaging, with products such as Ansible, Terraform, Kubernetes, Chef, FOG Projects, etc. Exercise design, test and evaluation, modeling, and simulations, as well as research and development familiarity. Computer Skills: Working knowledge of Microsoft Office (Word, Excel, and PowerPoint). Cloud, physical, and virtual network engineering experience required. Experience with hypervisors such as VMware, CypherPath, KVM, etc. Benefits eligibility may vary based on project site or contract but typical benefits are listed below.

Location: Annapolis Junction, MD, United States Job Title Principal‑Level Software 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 Principal‑Level Software Engineer to create custom analytics that perform at scale. The engineer will work closely with data scientists and end users to develop analytic tools that support discovery and tradecraft around critical global challenges and operationalize data science within customer environments. Key Duties • Work directly with data scientists and mission analysts to solve complex strategic problems • Perform end‑to‑end software engineering to prototype, develop, integrate, test, and deploy analytic tools • Integrate tools and tradecraft into customer corporate architectures • Support the operationalization of data science solutions at scale Requirements • Bachelor’s degree with eleven (11) years of relevant experience, or equivalent • Strong experience with Jupyter Notebooks, Java MapReduce, and Python PySpark • Strong experience with statistical analysis and machine learning fundamentals • Strong experience with customer tools, architecture, data flow, and big‑data environments • Proficiency with Jira, Confluence, and GitLab • Experience working in Agile development environments • Experience with end‑to‑end software development processes (requirements, design, implementation, testing, integration, deployment, and maintenance) • Experience with data science, Machine Learning (ML), Artificial Intelligence (AI), and Large Language Models (LLMs) • Active TS/SCI with Polygraph Compensation • Salary range: $155,000 – $175,000 • Benefits

Location: Toronto; New York Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Business Need We are overhauling our Salesforce system, which will require significant updates to the data models and pipelines that support revenue reporting. We also lack scalable visibility into self-serve revenue due to fragmented data sources and manual reporting processes. This role will help build and maintain the data infrastructure and automated reporting needed to support these changes and improve visibility across go-to-market and finance teams. Role Description This intern will support Revenue Operations data infrastructure and automation, including data enrichment and management, building and updating data pipelines, and developing automated reporting for go-to-market and finance stakeholders. Key Responsibilities - Support go-to-market reporting, systems, and processes that help teams make data-driven decisions and drive revenue growth. - Help maintain and improve data quality across Salesforce and other go-to-market systems. - Work with cross-functional teams to bring together customer data across product usage, sales activity, marketing engagement, support, and contract data. - Support the development and maintenance of dashboards and reporting for go-to-market and finance leadership. - Assist with data pipelines and processes that connect data across Salesforce, BigQuery, and other systems. - Help identify opportunities to automate manual reporting and operational processes. - Support ad hoc data analysis and operational requests from the Revenue team. What You Bring - Interest in learning about Revenue Operations, data analytics, and how technology companies go to market. - Some experience working with data through coursework, internships, projects, or extracurricular activities. - Comfort with spreadsheets and a willingness to develop skills in tools such as SQL, Salesforce, BigQuery, Looker, or Tableau. - Strong problem-solving ability and an enjoyment of figuring out how data, systems, and processes fit together. - Detail orientation and a commitment to data accuracy and quality. - Comfort with learning new tools and working across multiple projects. - Ability to communicate findings clearly and explain what the data means and why it matters. Position Details Duration: 4 months Start date: January 4 Location: Toronto or New York

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 Full-stack means you don't hand off. You connect the sources, model the data, transform it, build the dashboard and explain the numbers to the customer who paid for them, on three to six enterprise accounts at a time. If you've been the analyst who also had to be the analytics engineer and the account lead, and you liked it, this is that job with a platform and AI tooling behind you. What you'll do Own the chain for every account: source connection, ClickHouse and dbt model, QA, dashboard, weekly customer call. Write SQL every day, and Python when a transformation or a delivery needs code. Build reporting in Looker, Power BI or Tableau, and the model under it, so the numbers survive a finance review. Find what's off in the data before the customer does, and say so plainly. Use Claude Code to move faster and check its work harder. You'll fit if You have 3+ years as a marketing analyst, data analyst, BI developer or analytics engineer, with customers you had to keep, external or internal. Expert SQL, working Python, one BI tool at expert level. You've worked with several marketing sources at once (ad platforms, GA4, CRM), or can show the same with another messy multi-source domain. English C1 or better. You present your own work. Helps dbt in production. Attribution or MMM. Agency background. What we offer Remote-first environment Medical and dental benefits 401(k) plan Paid time off and US holidays Professional development reimbursement

Location: OH, 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 Senior 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 Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights. Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup. Design and maintain data models that consolidate data from multiple marketing platforms and sources. Map and document data flows across complex, multi-source schemas. Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly. Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations. Manage and enhance data transformations with dbt. Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness. Use Git for version control and collaboration. Must Have Qualifications Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all. 3+ years of SQL experience. Proficiency with AI tools and ability to integrate them into daily workflows. Experience working with multiple marketing data sources simultaneously (ad platforms, CRM, web analytics, etc.). Understanding of data modeling principles (star schema, dimensional modeling). Understanding of ELT/ETL concepts and debugging data transformation logic. English C1 level with excellent written and verbal communication. Ability to communicate directly with clients and stakeholders. Takes ownership and responsibility for their work and results. Can present their work and insights confidently to clients. Consistently checks their own work for quality, accuracy, and completeness before delivery. Strong analytical skills, proactive problem-solving, and close attention to detail. Comfortable with ambiguity and able to drive clarity with clients and internal teams. Hands-on experience with QA/UAT processes. Nice to Have Knowledge of Google Analytics (for business understanding). Knowledge of Google Analytics Data Streams. Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.). Understanding of Marketing Mix Modeling (MMM) concepts. dbt experience in analytics workflows. Python or other scripting language for data analysis and automation. Experience with data quality frameworks or data observability tools. Familiarity with marketing attribution models. What We Offer Remote-first environment Competitive compensation Medical and dental benefits 401K plan Unlimited PTO 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 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.