Вакансии

Задачи: — Взаимодействие с заказчиком, анализ продукта, описание процессов as is – to be — Формирование функциональных/технических требований совместно с бизнесом — Ведение бэклога инициатив, приоритизация с учётом эффективности/масштабируемости и требований законодательства — Участие в ПСИ, приёмка результатов — Координация с SAP-интегратором/вендором — Сопровождение месячного/годового закрытия по бухгалтерскому и налоговому учёту — Развитие интеграций с банковскими системами, платёжными системами, ЭДО, налоговыми сервисами Требования: — Опыт уверенного пользователя SAP FI от 2–3 лет со стороны бизнеса или ИТ (S/4HANA — весомый плюс) — Понимание принципов бухгалтерского и налогового учёта Республики Узбекистан (НСБУ, НК РУз) — Опыт в роли бизнес-аналитика или продакт-менеджера: сбор требований, написание функциональных/технических требований, приоритизация бэклога Плюсом: — Опыт в ритейле — Профильное образование (финансы/бухучёт + ИТ или наоборот) — Опыт SAP-роллаутов/масштабирования систем — Знание Asana, Jira, Confluence — Опыт с электронными счетами-фактурами и электронной отчётностью в РУз Условия: — Клиент: крупный ритейлер в СНГ — Проект: внедрение и развитие продукта на базе SAP S/4HANA (бухучёт, налоговый учёт, казначейство) — Длительность: долгосрочно — Локация: Ташкент (приоритет местным кандидатам) — Формат работы: удаленно — Занятость: полный рабочий день — Оформление: контракт с зарубежным юридическим лицом/ГПХ — Старт: ASAP — Количество позиций: 2 — Зарплата: 15-22 USD в час на руки в зависимости от опыта / 2500-3700 USD в месяц, уровень определяется по результатам собеседования

Location: Detroit, United States Keller Executive Search is recruiting for a newly launched insurance brokerage that is establishing its accounting and fiduciary-control foundation. This is a rare opportunity to build a function rather than inherit a mature process. The successful candidate will become the internal authority on brokerage accounting, premium trust activity, financial reporting, and agency management system workflows. Reporting to a finance and investments leader, you will own period-close reconciliation between the agency management system and the parent organization's ERP, oversee an outsourced bookkeeping provider, and execute carrier remittances and earned commission releases. During implementation, you will shape accounting flows, manage parallel system operation, and help transition the agency management system into the transaction system of record. This hands-on individual-contributor role offers substantial autonomy and visibility within a small, developing brokerage team. You will create repeatable controls, safeguard fiduciary funds, maintain accurate reporting, and establish processes that can support future growth. It is an excellent opportunity for an insurance accounting professional who wants to own outcomes and influence how a new function operates. Key Responsibilities Own period-close accounting, reconciliations, and financial reporting routines for the brokerage. Monitor premium trust and operating bank accounts, process deposits, and maintain complete supporting documentation. Review bookkeeper-prepared payment instructions and execute accurate, timely carrier remittances. Validate earned commission releases and initiate approved transfers from trust to operating accounts. Serve as the primary liaison to the outsourced bookkeeping provider, setting workflows and resolving discrepancies. Lead accounting-flow implementation within the agency management system and serve as its internal accounting subject-matter expert. Manage parallel operation of the agency management system and ERP, including period-close reconciliation and sign-off. Review export packages and post summarized GAAP journal entries to the ERP following system cutover. Review balance sheets, income statements, aged premium receivables, carrier payables, and producer commission reports. Follow up on overdue premiums and investigate unmatched, duplicate, and timing-related transactions. Maintain fiduciary records and controls supporting applicable state requirements and examination readiness. Prepare applicable surplus-lines filings, affidavits, payments, and supporting records. Protect confidential client and policy information throughout accounting and reporting processes. Requirements Essential Bachelor's degree in Accounting, Finance, Business, Economics, or a closely related field. Working knowledge of agency management system accounting, including agency-billed and direct-billed workflows, trust ledgers, bank reconciliation, and commission recording. Hands-on ownership of month-end close, bank and subledger-to-general-ledger reconciliations, and GAAP financial-statement review. Ability to work independently as the accountable accounting owner within a small, developing function. Strong attention to detail, process discipline, organization, and professional communication. This is an onsite position. Preferred At least three years of insurance agency accounting, insurance trust accounting, or brokerage financial-operations experience. Insurance-sector background with practical knowledge of intermediary transactions and terminology. Experience managing premium trust accounts, carrier remittances, commission releases, and fiduciary compliance. Insurance brokerage or agency accounting experience. Accounting-module experience with AMS360 or a comparable agency management system. Experience implementing, converting, or running an agency management system in parallel with an ERP. Experience coordinating and reviewing an outsourced bookkeeping or accounting provider. Knowledge of surplus-lines filings and state insurance recordkeeping requirements. Proficiency with online banking platforms, ACH origination, and electronic payment processing. SAP experience. Benefits Base salary of $85,000, with flexibility up to $100,000 (commensurate with experience) Short-term incentive program 401(k) plan Healthcare coverage Agency statement Keller is a recruitment agency that provides services to clients ranging from startups and non profits to multinational corporations. Keller emphasizes ethical search processes, attentive candidate care, and leadership placements that support long-term client outcomes. To learn more about the firm and about our candidate services - please visit our website Equal Opportunity policy Equal Employment Opportunity and Non-Discrimination Policy Equal Employment Opportunity Statement: Both Keller Executive Search and our clients are Equal Opportunity Employers. For all positions, whether with Keller Executive Search or our clients, qualified applicants will receive consideration for employment without regard to race, skin color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran status, disability, genetic information, or any other legally protected status. Commitment to Diversity: Keller Executive Search and its clients are committed to fostering a diverse and inclusive work environment where all individuals are valued and respected. Reasonable Accommodations: Both Keller Executive Search and our clients are committed to providing reasonable accommodations to individuals with disabilities and pregnant individuals. We engage in an interactive process to determine effective, reasonable accommodations. Compensation Information: For client positions, compensation information is available in the job post. If not provided, it will be shared during the interview process in accordance with applicable laws. When required by law, salary ranges will be included in job postings. Actual salary may depend on skills, experience, and comparison to current employees in similar roles. Salary ranges may vary based on role and location. Compliance with Laws: Both Keller Executive Search and our clients comply with federal, state, and local laws governing nondiscrimination in employment. This policy applies to all employment terms and conditions, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Workplace Harassment: Both Keller Executive Search and our clients expressly prohibit any form of workplace harassment based on race, skin color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. E-Verify Participation: Keller Executive Search and/or our clients may participate in E-Verify. Information about E-Verify participation will be provided during the application process where applicable. Privacy and Pay Equity: California Residents: For more information about the categories of personal information we collect for recruiting and employment purposes, please review our Privacy Policy at www.kellerexecutivesearch.com . Colorado, Nevada, New York City, California, and Washington Residents: Compensation information is available in the job post or will be provided during the interview process if not initially available. Both Keller Executive Search and our clients are committed to pay equity and conduct periodic pay equity analyses in accordance with applicable laws. State-Specific Information: Rhode Island: We do not request or require salary history from applicants. Connecticut: We provide wage range information upon request or before discussing compensation. New Jersey: We do not inquire about salary history unless voluntarily disclosed. Veteran Status: Both Keller Executive Search and our clients provide equal employment opportunities to veterans and comply with applicable state laws regarding veteran preference in employment. If you are a veteran, please inform us during the application process. Use of Artificial Intelligence in Recruitment Keller Executive Search and our clients may use artificial intelligence (AI) tools to assist in the recruitment and candidate evaluation process. These tools are used exclusively to support human decision-making by helping to review and assess candidate qualifications and materials. AI is never used to automatically reject, disqualify, or make final hiring decisions about candidates. All AI-assisted evaluations are reviewed by experienced recruitment professionals, and all hiring decisions are made by qualified human recruiters. Our use of AI is designed to enhance fairness, consistency, and efficiency while maintaining our commitment to equal employment opportunity and non-discrimination principles. Genetic Information: In accordance with federal and state laws, both Keller Executive Search and our clients do not discriminate based on genetic information. We do not request or require genetic information from applicants or employees, except as permitted by law. Local Laws: Both Keller Executive Search and our clients comply with all applicable local laws and ordinances regarding employment practices in the areas where we operate. Note: This job posting may be for a position with Keller Executive Search or one of our clients. The specific employer will be identified during the application and interview process. Employment laws and requirements may vary depending on the employer and location.

Location: San Francisco; Remote (United States) Workplace: Hybrid Perplexity is looking for a detail-oriented Payroll Analyst to join our growing Finance and Accounting team. You will partner closely with the Payroll Manager to keep US and international payroll accurate, compliant, and timely as the company scales through rapid hiring, global expansion, and increasing complexity in equity and benefits administration.   This is a hands-on role with real ownership from day one, working closely with People Operations, Accounting, Tax, and Equity. The ideal candidate combines strong payroll and systems expertise with sharp attention to detail, a service-oriented approach, and the ability to bring structure to a fast-moving environment.   Responsibilities   - US and international payroll processing: Own day-to-day processing support for US multi-state semi-monthly payroll and assist with international payroll cycles across approximately 16 countries, working primarily in Rippling. - Global contractor payroll: Run the monthly global contractor payroll cycle, including timecard submission tracking, manager approval follow-up, and on-schedule contractor payments. - Pre- and post-payroll audits: Reconcile benefit deductions, 401(k) deferrals, and employer match against payroll journals and deductions exports; flag and resolve discrepancies before paychecks post. - State tax account administration: Support state-level employer tax account registration and maintenance (SUI and withholding) as the company grows into new states, including migration of legacy accounts inherited from prior PEO arrangements. - Benefits and 401(k) support: Assist with 401(k) and benefits administration, including contribution monitoring, HCE and nondiscrimination testing support, and COBRA offboarding notices. - Equity payroll reporting: Support equity and stock-exercise payroll reporting by tracking Carta exercise data, applying correct NSO/ISO tax treatment, and preparing payroll-side entries at quarter-end cutoffs. - Reimbursements and systems integration: Manage the Rippling-to-NetSuite reimbursement approval chain, ensuring expense reimbursements route and post correctly across systems. - Employee support: Serve as a first point of contact for employee payroll inquiries, resolving routine questions and escalating complex cases with context. - Close and compliance support: Maintain clean, audit-ready documentation and support quarter-end and year-end close activities, including W-2s, ACA reporting, 401(k) true-ups, and year-end reconciliations. - Process improvement: Identify and help implement process improvements that reduce manual work and strengthen controls as payroll volume and jurisdictional complexity increase.   Requirements   - 4+ years of hands-on payroll experience, ideally including multi-state US payroll; international or contractor payroll exposure is a plus. - Experience establishing and managing US state agency accounts, including troubleshooting agency mailings and invoices for payment, and related account maintenance. - Strong working knowledge of California wage statement requirements, meal and rest break premiums, final pay timing rules, and other state-specific compliance considerations. - Hands-on experience with a modern payroll/HRIS platform (Rippling, Workday, ADP, Gusto, or similar); Rippling experience preferred. - Comfort with detailed reconciliation work across benefits deductions, 401(k) match calculations, and payroll-to-GL tie-outs, including strong Excel and Google Sheets skills and the ability to work accurately with large datasets. - Working knowledge of US payroll tax compliance (SUI, SIT, federal and state withholding) and interest in learning cross-border payroll mechanics. - Familiarity with equity compensation payroll (RSU, NSO, and ISO taxation) is a plus. - Excellent attention to detail and follow-through — this role exists to catch errors before they reach employees, not just process transactions. - Clear communicator who can explain payroll and benefits topics to employees and cross-functional stakeholders. - Ability to multi-task and prioritize effectively in a fast-paced environment.

Location: San Francisco; Remote (United States) Workplace: Hybrid Perplexity is looking for a detail-oriented Payroll Analyst to join our growing Finance and Accounting team. You will partner closely with the Payroll Manager to keep US and international payroll accurate, compliant, and timely as the company scales through rapid hiring, global expansion, and increasing complexity in equity and benefits administration.   This is a hands-on role with real ownership from day one, working closely with People Operations, Accounting, Tax, and Equity. The ideal candidate combines strong payroll and systems expertise with sharp attention to detail, a service-oriented approach, and the ability to bring structure to a fast-moving environment.   Responsibilities   - US and international payroll processing: Own day-to-day processing support for US multi-state semi-monthly payroll and assist with international payroll cycles across approximately 16 countries, working primarily in Rippling. - Global contractor payroll: Run the monthly global contractor payroll cycle, including timecard submission tracking, manager approval follow-up, and on-schedule contractor payments. - Pre- and post-payroll audits: Reconcile benefit deductions, 401(k) deferrals, and employer match against payroll journals and deductions exports; flag and resolve discrepancies before paychecks post. - State tax account administration: Support state-level employer tax account registration and maintenance (SUI and withholding) as the company grows into new states, including migration of legacy accounts inherited from prior PEO arrangements. - Benefits and 401(k) support: Assist with 401(k) and benefits administration, including contribution monitoring, HCE and nondiscrimination testing support, and COBRA offboarding notices. - Equity payroll reporting: Support equity and stock-exercise payroll reporting by tracking Carta exercise data, applying correct NSO/ISO tax treatment, and preparing payroll-side entries at quarter-end cutoffs. - Reimbursements and systems integration: Manage the Rippling-to-NetSuite reimbursement approval chain, ensuring expense reimbursements route and post correctly across systems. - Employee support: Serve as a first point of contact for employee payroll inquiries, resolving routine questions and escalating complex cases with context. - Close and compliance support: Maintain clean, audit-ready documentation and support quarter-end and year-end close activities, including W-2s, ACA reporting, 401(k) true-ups, and year-end reconciliations. - Process improvement: Identify and help implement process improvements that reduce manual work and strengthen controls as payroll volume and jurisdictional complexity increase.   Requirements   - 4+ years of hands-on payroll experience, ideally including multi-state US payroll; international or contractor payroll exposure is a plus. - Experience establishing and managing US state agency accounts, including troubleshooting agency mailings and invoices for payment, and related account maintenance. - Strong working knowledge of California wage statement requirements, meal and rest break premiums, final pay timing rules, and other state-specific compliance considerations. - Hands-on experience with a modern payroll/HRIS platform (Rippling, Workday, ADP, Gusto, or similar); Rippling experience preferred. - Comfort with detailed reconciliation work across benefits deductions, 401(k) match calculations, and payroll-to-GL tie-outs, including strong Excel and Google Sheets skills and the ability to work accurately with large datasets. - Working knowledge of US payroll tax compliance (SUI, SIT, federal and state withholding) and interest in learning cross-border payroll mechanics. - Familiarity with equity compensation payroll (RSU, NSO, and ISO taxation) is a plus. - Excellent attention to detail and follow-through — this role exists to catch errors before they reach employees, not just process transactions. - Clear communicator who can explain payroll and benefits topics to employees and cross-functional stakeholders. - Ability to multi-task and prioritize effectively in a fast-paced environment.

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: We are seeking a Senior Director to lead our Enterprise Reporting and Analytics Engineering organization, a team of analytics engineers, report developers, visualization specialists, and people leaders. This organization focuses on the last mile of the enterprise data supply chain: the semantic models, curated data products, metric definitions, and consumption experiences that turn engineered data into decisions. This is not a traditional reporting leadership role; the classic notion of “reporting” in the form of a myriad of dashboards and filters is racing towards obsolescence. But the need for data and insights, and the need to deliver it in a way that is digestible and actionable, is timeless. Yes, governed dashboards and trusted reporting remain the foundation, and this leader must be excellent at that foundation. But the mandate is to move the organization decisively beyond static reporting toward a proactive, intelligent analytics capability: partnering with Data Science to productize and visualize their models, enabling generative AI and LLM-based access to our data, building exception-based systems that alert users when outcomes deviate from expectation in a statistically meaningful way, and designing agents that monitor data continuously and deliver insight without being asked. Analytics engineering shares much of its DNA with data engineering — modeling, transformation, testing, version control, CI/CD, performance and cost discipline — but is oriented toward business enablement rather than platform and pipeline. Success in this role therefore depends as much on partnership as on technical depth. This leader will work shoulder to shoulder with Data Engineering on the boundary between platform and consumption, with Product Management on roadmap and requirements, with Data Science on advanced analytic products, and with Analytics Operations on a disciplined intake and prioritization process that makes the best possible use of finite capacity. The ideal candidate has spent years building the traditional foundations — governance, metadata, lineage, dimensional modeling, engaging with enterprise BI platforms— and is now looking to apply that rigor to a fundamentally different generation of analytic products in new and innovative ways. What you'll be doing: Organizational Leadership Lead, coach, and develop an organization of approximately 30 people, including managing through frontline managers; own hiring, role clarity, career pathing, performance management, and succession planning. Define a multi-year vision and roadmap for enterprise reporting and analytics engineering, and translate it into quarterly outcomes the team and its partners can measure. Partner closely with Product Management to jointly shape the multi-year enterprise end-to-end data strategy. Own the organization's budget, vendor relationships, and contractor or offshore capacity. Establish and sustain an engineering culture within an analytics function: peer review, automated testing, documentation standards, source control, CI/CD, etc. Analytics Engineering and Data Architecture Drive maturity of the last-mile architecture in partnership with Data Engineering: curated marts, semantic layers, reusable data products, and certified datasets that serve reporting, ai enablement, data science, and downstream applications. Define and enforce dimensional modeling standards, transformation frameworks, and modular, tested, version-controlled analytics code. Own the enterprise metric layer so that key business measures carry a single, governed definition regardless of where they are consumed. Partner with Data Engineering to define clear contracts and handoffs between pipeline and platform work and last-mile modeling, including shared tooling, standards, and escalation paths. Manage query performance, warehouse consumption, and platform cost as first-class engineering concerns. Data Governance, Metadata, and Lineage Own cataloging, business glossary, data certification, and stewardship workflows, leveraging tools such as Atlan as the primary metadata platform. Maintain column-level lineage across the analytics estate to support impact analysis, change management, audit, and root-cause investigation. Leverage data access provisioning and entitlement models, including row- and column-level security, in partnership with Security, Privacy, and Compliance. Collaborate with Data Engineering to drive data quality monitoring, freshness and availability SLAs, observability, and incident response for analytic assets. Enterprise Reporting and Data Visualization Drive analytics engagement by leveraging enterprise visualization and provisioning platforms, including Domo and Tableau, in partnership with Data Engineering. Ensure best practices are followed in data architecture, governance, adoption, performance, and total cost management. Set visualization and information design standards that make reports readable, consistent, accessible, and decision-oriented. Rationalize the existing reporting portfolio: retire redundant and unused assets, consolidate overlapping content, drive down tech debt and drive consumption toward certified sources. Build a durable self-service capability through training, templates, community, office hours, and clear guardrails on what belongs in self-service versus centrally managed content. Advanced, Proactive, and AI-Enabled Analytics Partner with Data Science to productize their work: build the visualization, interaction, monitoring, and feedback loops that turn models and research into products the business actually uses. Partner with Product Management and Data Engineering to enable generative AI and LLM access to enterprise data. This includes preparing the semantic and metadata foundation that makes data legible to models, delivering conversational analytics, text-to-SQL, and retrieval-augmented experiences on governed sources, and establishing guardrails, evaluation, and accuracy monitoring so that answers can be trusted. Build exception-based analytics that detect when an outcome deviates from its expected value in a statistically significant way, using seasonality-aware baselines, forecast residuals, control limits, and anomaly detection rather than static thresholds. Route those exceptions to accountable owners with context, likely drivers, and a recommended next action; actively tune sensitivity and volume to prevent alert fatigue and preserve signal. Design and deploy analytic agents that proactively monitor data, investigate variances, assemble narrative explanations, and deliver insight into the tools where people already work. Shift the organization's consumption model from pull to push: the measure of success is not how many people opened a dashboard, but whether the right person was told the right thing at the right time. Cross-Functional Partnership, Intake, and Prioritization Operate as a true partner to Product Management: contribute to roadmap, requirements, user research, and release planning, and run analytics with a product mindset covering personas, adoption metrics, and asset lifecycle management. Partner with Analytics Operations to run a transparent intake, triage, sizing, and prioritization process, with published capacity, explicit tradeoffs, and reliable delivery commitments. Make capacity constraints visible to stakeholders and executives, drive reuse over one-off builds, and decline or defer work with evidence rather than friction. Serve as a senior, executive-facing partner to business functions, translating ambiguous business questions into well-scoped analytic solutions. What we're looking for: Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, Economics, or a related quantitative field; equivalent professional experience will be considered. 15+ years of progressive experience in data, analytics, or business intelligence, including 8+ years leading teams and 4+ years managing managers. Demonstrated experience leading an organization of 25 or more people in a large, matrixed enterprise. Strong hands-on foundation in SQL, dimensional modeling, and ELT/ETL design, with production experience on a modern cloud data warehouse or lakehouse (for example Snowflake, Databricks, BigQuery, Redshift, or Synapse) and a transformation framework such as dbt. Experience applying software engineering practices to analytics work, including Git-based workflows, automated testing, and CI/CD. Enterprise-scale leveraging of BI and data visualization platforms such as Domo, Tableau, Power BI, or Looker, including governance, provisioning, adoption, and cost management. Demonstrated ability to participate in driving data governance program covering catalog, lineage, glossary, stewardship, quality, and access, using platforms such as Atlan, Collibra, Alation, or Informatica. Proven track record of delivering jointly with Data Engineering and Product Management, with clear ownership boundaries and shared accountability. Direct experience partnering with Data Science, including operationalizing, visualizing, and monitoring model output for business consumption. Working command of the statistical concepts underlying exception detection, including hypothesis testing, confidence intervals, variance and control limits, seasonality, and forecasting. Experience running a formal intake, prioritization, and capacity planning process for a shared services or platform organization. Excellent executive communication and influence skills, with the ability to operate effectively amid ambiguity and competing priorities. Experience managing budget, vendor contracts, and platform licensing. Preferred Skills: Master's degree or MBA in a related field. Production experience delivering LLM-based analytics: retrieval-augmented generation over governed data, text-to-SQL or conversational BI, semantic layers designed for model consumption, and prompt, evaluation, and cost monitoring frameworks. Experience designing agentic workflows and orchestration for monitoring, investigation, and notification use cases. Hands-on experience with Atlan, Domo, and Tableau specifically. Proficiency in Python or R for prototyping, and familiarity with common statistical and ML libraries and MLOps concepts. Experience deploying anomaly detection at scale, including alert routing, suppression, and fatigue management. Familiarity with data product and data mesh operating models, domain-aligned ownership, and data contracts. Experience operating in an Agile or product operating model at scale, including portfolio, OKR, and roadmap management. Deep experience with the “Silicon Valley” school of Product Management, as exemplified by the “Marty Kagan”-style academic approach a significant plus. Experience leading global or matrixed teams, including offshore or vendor-partnered delivery models. Track record leading a major platform migration, consolidation, or reporting rationalization effort. Demonstrated success attracting, developing, and retaining senior technical talent in a competitive market. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote - US The role: Newsela is hiring a Senior Marketing Operations Analyst who can make a significant impact quickly. Reporting to the Director of Marketing Operations, this role will own key components of Marketing’s measurement, analytics, and reporting infrastructure, including reporting architecture, dashboard development and governance, advanced data modeling, multi-touch attribution, and KPI development and tracking. This role will partner cross-functionally with Marketing, Finance, and Operations to standardize reporting, strengthen data integrity, and expand visibility into marketing performance across the company Why you’ll love this role: Reporting: Lead cross-functional alignment with Finance and Sales Operations to establish consistent reporting and auditing across the organization Own and architect full-funnel marketing reporting in Salesforce and Tableau, defining key performance indicators Define and standardize scalable, repeatable analytical processes and reporting methodologies across different tools. Establish KPIs and benchmarks to measure against for testing and as the foundation for future modeling Synthesize data across multiple platforms to provide holistic insights into marketing and business performance, including data from Marketo, Google Analytics, Google Ads, LinkedIn Ads, and other relevant sources. Partner with the Director of Marketing Operations to design, implement, and govern comprehensive multi-touch attribution and marketing influence models Data Structure: Assess campaign performance across channels and funnel stages to identify the data structures, inputs, and analytical approaches needed to surface meaningful insights. Scope and implement the data structure needed to effectively create, audit, visualize, and build reports for the Marketing organization Drive cross-functional data integration initiatives to maintain seamless data flows in support of the company’s operations workflow Own the strategic roadmap and implementation for unifying disparate marketing data sources for end to end analysis Analysis: Build advanced predictive models and forecasts for MQLs, pipeline, and bookings using top-down and bottom-up methodologies Lead complex cross-functional analysis that improve data quality, strategic context, and support business decision making Develop analytical frameworks to surface actionable insights, emerging trends, and strategies to optimize marketing performance Deliver weekly executive-level reporting and strategic recommendations to guide team priorities and continuous performance optimization Translate complex analysis and concepts in a way that makes it easy for all marketing team members and executives to understand what the story is and what it is telling the company to do Why you’re a great fit: 5+ years of progressive experience in marketing analytics or operations Advanced proficiency in Excel and/or Google Sheets, with experience analyzing and synthesizing complex datasets Experience applying statistical modeling, forecasting, and advanced analytical techniques to business and marketing performance Demonstrated experience developing marketing attribution methodologies, including multi-touch attribution and marketing influence models Strong understanding of the marketing and sales funnel, including MQL, pipeline, bookings, conversion, and related performance metrics Experience building scalable reporting frameworks, dashboards, and KPI measurement systems Strong communication and data storytelling skills, with the ability to translate complex analyses into clear insights and recommendations for both technical and non-technical audiences Demonstrated ability to build strong cross-functional relationships and influence stakeholders across Marketing, Sales, Finance, and leadership Working knowledge of Salesforce, Marketo, Tableau, Google Analytics, or similar platforms Preferred Experience: Bachelor’s degree in Mathematics, Statistics, Computer Science, Analytics, or a related quantitative field, or equivalent practical experience Experience with Chili Piper, Salesloft, Google Ads, Meta Ads, LinkedIn Ads, or similar marketing and sales technology platforms Why you’ll love working at Newsela: Health & Wellness: Comprehensive medical benefits with employer contribution to premiums and to HSA accounts. Additional benefits such as gym reimbursement, pet insurance, free access to the Calm app, Rocket Lawyer and more to help you stay healthy: mind, body, and soul. Work From Home: We are a fully remote company. We provide a monthly tech stipend to support your WFH needs! Supporting ALL Families: Inclusive benefits to support you and your family, including parental leave, fertility support, adoption, and more! Financial Wellbeing: Invest in your future with our 401(k) plan, which includes a employer match to help you build long-term financial security. Time Off: Flexible PTO, paid sick time off, company holidays plus winter break (Dec 24th - Jan 1st). Professional Development: Newsela offers an annual learning and development allowance to employees to attend external training sessions, classes, workshops, conferences, and educational materials to foster professional growth within their current role and career aspirations at Newsela. Make A Difference: No matter your role or department, the work you do each day helps share the future of education and improves the lives of students and teachers. About Newsela: Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner. #LI-Remote Final compensation will be determined based on the candidate’s individual skills, qualifications, and experience. Total compensation for this role also includes incentive stock options and benefits. Base Compensation Range $82,600 — $108,550 USD

Задачи: - Развивать и усиливать команду аналитиков, выращивать будущих тимлидов - Быть ключевым партнером для Product, Growth, Marketing и бизнеса - Развивать культуру принятия решений через эксперименты, а не интуицию - Улучшать подходы к A/B-тестированию, causal inference и оценке бизнес-эффекта - Влиять на развитие продукта, персонализации и пользовательского опыта Требования: - Опыт управления командой аналитиков - Хорошее понимание продуктовой аналитики и A/B-тестирования - Опыт работы в e-commerce, marketplace или других digital-продуктах - Умение выстраивать отношения со стейкхолдерами и влиять на решения - Знания в персонализации, рекомендательных системах, ранжировании (будет плюсом) - Опыт в FoodTech, Retail, E-grocery или Marketplace (будет плюсом) - Опыт с causal inference и продвинутой экспериментальной аналитикой (будет плюсом)

Location: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We are looking for a Quantitative Developer to contribute to the development of analytics tools supporting automated trading strategies. You will work closely with quantitative researchers, traders, and other technology teams to design and deliver solutions covering the entire trading lifecycle, from pre-trade analysis and real-time monitoring to post-trade performance and execution analysis. This role combines quantitative development, data analysis, and full-stack engineering. It offers a high level of autonomy and direct exposure to trading activities. Your future role within QRT Design and develop pre-trade and post-trade analytics tools for automated trading strategies Build intuitive dashboards for traders and quantitative researchers Develop analytics related to execution quality, slippage, transaction costs, positions, risk and strategy performance Process, analyse, and visualise large volumes of market and trading data Close collaboration with traders and quantitative researchers to understand their needs and turn them into reliable, scalable solutions Contribute to the architecture and continuous improvement of the analytics platform Ensure the quality, reliability and maintainability of applications through testing, monitoring and code reviews Proactively identify opportunities to improve existing tools and development processes Your present skillset Strong proficiency in Python Solid knowledge of TypeScript Strong experience with Vue.js and modern front-end development Knowledge of AWS cloud services would be a plus Familiarity with CI/CD pipelines and automated deployment practices (GitLab) Experience designing APIs and data-driven applications Good understanding of software engineering principles, testing and version control Experience with financial markets, quantitative analytics or electronic trading would be an advantage Ability to work autonomously and take ownership of projects Excellent communication and collaboration skills Proactive, pragmatic and solution-oriented mindset Strong focus on delivery, reliability and user experience QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Задачи: — Проводить детальный тематический анализ материалов к совещаниям, методических документов, описаний продуктов, рыночных обзоров и других текстовых/мультимедийных ресурсов компании — Оценивать соответствие контента целевым темам, корпоративным стандартам (при необходимости), целям продукта и потребностям аудитории — Выявлять пробелы, несоответствия, устаревшую информацию и области для улучшения в представленных материалах — Систематизировать контент в материалах в соответствии с целевыми темами и корпоративными стандартами — Представлять результаты анализа в понятной визуальной форме (диаграммы, схемы, презентации) Требования: — Опыт в EdTech, консалтинге (в т.ч. стратегическом/управленческом), редакциях или редакторских группах будет преимуществом — Навыки быстрого поиска, критической оценки, структурирования и синтеза информации из различных источников — Умение работать с Excel/Google Sheets (формулы, сводные таблицы, базовые графики) Условия: — Официальное трудоустройство: оформление с полным пакетом социальных гарантий, включая отпуск и больничные — Комфортные кафе и столовые: уютные пространства для общения с коллегами за чашкой кофе, обсуждения совместных проектов и последних корпоративных новостей — Уникальная атмосфера в команде: разнообразие поколений и культур, способствующее созданию вдохновляющей рабочей среды — Инвестиции в ваше будущее: повышение компетенций и внедрение лучших мировых практик для вашего профессионального роста — Возможность посещения бизнес-мероприятий: участие в мероприятиях, способствующих расширению профессиональных связей и знаний — Корпоративные фитнес-услуги: на площадке корпорации доступны фитнес-залы, залы для занятий йогой, SPA-центры и массажные кабинеты с персональной скидкой для сотрудников — Поддержка на этапе адаптации: вас будет сопровождать наставник и руководитель, которые помогут вам бережно интегрироваться в коллектив.

Основная задача роли — обеспечивать движение задач и проектов до результата, контролировать исполнение, координировать сотрудников и готовить аналитику, необходимую руководителю для принятия управленческих решений. Это не роль ассистента и не функция простого контроля поручений. Нужен человек, который умеет самостоятельно разбираться в процессах и данных, находить отклонения, закономерности и проблемные зоны и превращать массив информации в понятные выводы для руководителя. Обязанности: — сопровождать задачи после планёрок: контролировать сроки, координировать сотрудников, доводить задачи до результата; — самостоятельно решать текущие организационные вопросы и выносить на руководителя только то, где действительно требуется управленческое решение; — вести и контролировать CRM, рабочие таблицы и процессы; — анализировать базы данных, продажи, загрузку, показатели по проектам и регионам; — готовить руководителю не просто цифры, а выводы для принятия решений: где проблема, где потенциал роста, что меняется и на что нужно обратить внимание; — делать расчёты, сводные таблицы, аналитику и при необходимости участвовать в описании и улучшении процессов. Требования: — сильные аналитические способности и системное мышление; — уверенный Google Sheets, нейросетей; — умение работать с большими таблицами и массивами данных; — способность увидеть за цифрами бизнес-смысл; — самостоятельность и высокий уровень ответственности; — умение структурировать хаотичную информацию; — способность одновременно вести несколько процессов и проектов; — умение формулировать выводы коротко и по существу. Будет преимуществом: — опыт работы бизнес-аналитиком; — знание битрикс 24 и 1С; — опыт построения управленческой отчётности; — опыт автоматизации отчётности и работы с BI-системами.

About LawnStarter LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. The company is expanding beyond lawn care to become a one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform. About Analytics at LawnStarter The analytics team supports the entire company including product, marketing, operations, and finance. The data platform includes a centralized Redshift data warehouse, modeled in dbt and orchestrated by Airflow, with Segment feeding event data. The team is mid-migration to Lightdash as the single BI platform, replacing Tableau and Metabase. Currently, data quality, tracking standards, and platform hygiene are side tasks handled by analysts. The Role The Analytics Engineering Manager will be the first dedicated person for data governance, responsible for data trustworthiness and the roadmap to improve it quarterly. Responsibilities include ensuring quality and freshness of source data, pipelines, reports, metric definitions, Segment event tracking standards, Lightdash workspace health, data feeding ML models, and data security. The role involves collaborating with product, marketing, ops, and finance to prioritize platform work. It is a hands-on role starting solo, building automation, checks, fixing issues, and establishing scalable processes. Eventually, the manager will hire a Lead Analytics Engineer and grow the function as needed. Key differentiators of the role: - First dedicated governance role, reshaping existing standards. - Owns the data roadmap, discovering business needs and prioritizing work. - Whole-stack ownership from source data to ML models. - Leading the migration to Lightdash, setting up permissions and norms. Responsibilities: - Develop and manage the data roadmap balancing business needs and platform health. - Automate monitoring of data quality and freshness, resolve incidents. - Maintain data lineage and impact analysis to assess downstream effects of changes. - Administer Lightdash workspace, permissions, and rollout. - Extend and guard the semantic layer with governed metric definitions. - Govern Segment event tracking catalog, standards, and drift detection. - Ensure AI data readiness for internal AI tools querying the warehouse. - Manage data security, privacy, access controls, and compliance with US state laws. - Maintain governance documentation, ownership models, and review processes. Challenges to solve: - Convert business requests into a prioritized data roadmap. - Ensure Lightdash migration improves platform usability without dashboard sprawl. - Complete and maintain a trustworthy semantic layer. - Manage event-tracking standards and prevent entropy. - Proactively detect and prevent data pipeline breakages with automation and lineage. Success metrics for year 1: - Zero pipeline incidents from unannounced data changes. - Zero freshness incidents; stakeholders never see stale dashboards. - All business areas use official, well-maintained metrics and dashboards. - Every Segment event has an owner and meets standards. - Governance operates as a documented, sustainable system. Requirements: - Passion for data governance as a craft. - Daily use of AI tools for automation, anomaly triage, and documentation. - Hands-on manager who codes, debugs, and configures personally. - Product-minded, able to translate vague requests into prioritized plans. - Automation-first approach to quality checks. - Ability to enforce standards with clear rules and good tooling. Role exclusions: - Not a large-team leadership role; starts solo with potential to hire one lead. - Not a policy or committee role; hands-on fixing with code and conversations. - Not a BI analyst role; focuses on platform and guardrails, not dashboard building. - Not a mature system babysitting role; involves building and evolving the platform. Technologies involved: - Warehouse & pipelines: Redshift, dbt, Airflow - Ingestion: Fivetran, custom Airflow pipelines - Event tracking: Segment - BI tools: Lightdash (primary), Tableau and Metabase (sunsetting) - AI tooling: Claude Code, Codex, Brain (internal AI toolkit) - Observability: AI-powered Analytics Engineer agent for monitoring and anomaly detection Benefits: - Base salary $75k-$120k/year - Fully remote with asynchronous collaboration - Flexible PTO Equal employment opportunity statement included.

Задачи: — Владение дорожной картой данных: выявление потребностей продукта, маркетинга, операций и финансов в данных, приоритизация задач с учетом состояния платформы и последовательное планирование инвестиций. — Обеспечение качества и актуальности данных: автоматический мониторинг источников данных, конвейеров и отчетов, выявление изменений в схемах и источниках до возникновения проблем, управление инцидентами. — Анализ происхождения данных и влияния изменений: создание живой карты от источника до отчетов, оценка влияния изменений на downstream компоненты до их внедрения, внедрение контрактов данных с инженерией. — Администрирование Lightdash: настройка структуры рабочего пространства, прав доступа, обучение пользователей, поддержание порядка и производительности. — Управление семантическим слоем: расширение и поддержка единого определения метрик, предотвращение неконтролируемого роста. — Управление каталогом событий Segment: проверка новых событий на соответствие стандартам, поддержание соответствия с продакшеном, развитие правил и обнаружение отклонений. — Обеспечение готовности данных для AI: контроль доступа AI-инструментов к данным, поддержание документации, консистентности и безопасности. — Обеспечение безопасности и конфиденциальности данных: контроль доступа, обработка персональных данных в соответствии с законами штатов США, регулярные проверки. — Поддержка системы управления: документация, модели владения и циклы обзора для устойчивой работы процессов. Требования: — Профессиональное отношение к управлению данными, стремление к поддержанию чистоты и надежности систем. — Активное использование AI-инструментов для автоматизации проверок, обработки аномалий и документации. — Практический опыт управления командой и самостоятельной работы с SQL, Airflow, настройкой прав доступа. — Ориентация на продукт, умение превращать запросы бизнеса в приоритетный план. — Стремление к автоматизации повторяющихся проверок. — Умение устанавливать стандарты и добиваться их соблюдения с помощью инструментов и коммуникации. Условия: — Базовая зарплата $75,000-$120,000 в год. — Полностью удаленная работа с асинхронным взаимодействием. — Гибкий отпуск по результатам работы. Описание роли: — Первая позиция, посвященная управлению данными и их качеством в компании. — Роль с полным владением цепочкой данных от источника до отчетов и моделей машинного обучения. — Роль с практической деятельностью и последующим расширением команды. — Не руководящая большая команда, а построение и развитие функции. — Не роль BI-аналитика или политика, а инженерно-управленческая позиция. Технологии: — Хранилище и конвейеры: Redshift, dbt, Airflow. — Интеграция данных: Fivetran, кастомные Airflow конвейеры. — Отслеживание событий: Segment. — BI-платформы: Lightdash (основная), Tableau и Metabase (выводятся). — AI-инструменты: Claude Code, Codex, Brain (внутренний AI-инструмент). — Наблюдение: AI-агент для мониторинга свежести, обнаружения аномалий и lineage dbt.

Location: Americas; EMEA Workplace: Remote RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile. We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue. We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading. ABOUT THE ROLE We're looking for a Senior Product Manager to join the team working on analytics features in RevenueCat. RevenueCat is the monetization engine for 40% of new subscription apps shipped — and the number of apps shipped is growing exponentially. We are uniquely positioned not only to give individual developer impactful information into the performance of their own apps, but also deliver truly unique data and insight given our position in the market; we know what good looks like, and we can not only put numbers in context, but give specific recommendations on metrics to target, experiments to run and anomalies to investigate. Our analytics features help app developers make better decisions that improve the monetization of their apps. As product manager on this team, you are responsible for working with your team to set the vision and roadmap, delivering on it, launching new functionality, and increasing the impact of the team. This role requires: - being technical to understand how our analytics system works and its constraint - being analytical to be able to define how to show data as well as debugging issues and edge cases - being customer obsessed to understand what information app developers need for their decisions and how we can provide this information to them - having an understanding of the app ecosystem, how the economics of app businesses work, and what success means for app developers You will oversee all of the Analytics features at RevenueCat — our charts, benchmarking, dashboard, and predictive LTV. You'll partner directly with leadership, collaborate across engineering and data teams, and act as the primary driver for how our customers understand and grow their revenue. ABOUT YOU Skills & Experience - You have 5+ years of product management or adjacent experience, with meaningful time shipping complex products. - You’re analytical. You can’t do your job without data platform access. You are proficient in SQL (or similar tools) — whatever tool you need to know, you’ll learn. You love diving deep into data yourself. You’re experienced in developing robust and scalable metrics. - You are technical. Coding is not a core requirement for this role, being able to prototype with code is (using your preferred AI stack). You can deeply understand how RevenueCat works — what is simple and what is complex within our domain. Maybe you haven’t built and shipped a mobile app yourself (yet) but you have enough knowledge to work closely and independently with highly technical folks. You can discuss APIs, data models, and risk logic with engineering partners and enjoy diving into system details - You’re an excellent communicator. You can express complex ideas clearly and succinctly — written and verbal, synchronous and asynchronous, across timezones and mediums. You can get your point across. Values and Abilities - You act like an owner. You roll up your sleeves, dive into the logs, and get something done yourself. - You thrive in ambiguity. You are comfortable making low-information, high-stakes decisions. You can quickly get to confidence, move on, and iterate. - You're a systems thinker. You can step back from a specific customer request and see the broader system. You build things that scale. - You're deep on the details. You care about what users experience, not just what the data says. - You know when it's good enough. You are obsessed with getting things right, but you know when you're at diminishing returns. You have a bias toward shipping. You love building — and are energized by discovery, experimentation, and rapid iteration. - You’re passionate about great data visualization. Chart sins grind your gears. Your visualizations deliver meaningful insights. You care what is says — and what it looks like — and you know those things are dependent on each other. WHAT YOU'LL DO - Own the product strategy and roadmap for RevenueCat's Analytics products. - Be obsessed with your customers. You will triage and investigate complex data and analytics problems deeply, instead of fully delegating to engineering. Dig deep to understand what developers really want — distill signal from noise and good ideas from bad ones. - Recommend, develop and maintain new benchmarks and metrics that deliver value to our developers, and help them make more money. Be the go-to person when a number looks off. - Set the vision. Create a plan that is cohesive, intentional, and impactful. Break that down into meaningful chunks on a reasonable timeline. - Get it done. Collaborate closely with engineering, data science, and GTM teams to bring robust analytics and experimentation tools to market. This job can not be done alone, and will require deep understanding of the individual products and the infrastructure that hooks them together. The salary for this role is $230,000 USD. You can view our full Compensation Philosophy here https://www.notion.so/revenuecat/RevenueCat-Compensation-Philosophy-82b57cae23ab4c9bb62dfe4e933d32d0 for additional details. In the first month, you'll: - Get to know the product, customers, and team - Contribute to shipping a meaningful feature to thousands of developers - Be ramped up on ongoing projects in your teams Within the first 3 months, you'll: - Have formed a strong working relationship with your engineering manager and design counterpart - Have taken ownership of the roadmap and prioritization for your team (jointly with the engineering manager) - Work with your engineering manager and leadership to define quarterly objectives for your teams - Have shipped the first bigger feature end to end - Work with your team to discover opportunities and solutions to deliver value to our customers - Play an integral role in your team’s discovery and delivery processes - Understand the fundamentals of our tech stack and its complexities, and drive the evaluation feasibility/value tradeoffs in collaboration with your teams Within the first 6 months, you'll: - Have helped your team grow and become a high-performing, engaged team in line with our company values - Effectively collaborate with internal stakeholders of all levels - Be an expert of your areas of the product and the related customer needs, and instill customer empathy in your teams - Independently drive all product-related decisions in your area - Have contributed meaningfully to our knowledge of our customers and their needs, our industry, and important trends - Develop a longer term vision for your area of the product in line with the product strategy - Work with your teams to improve processes and interfaces with other teams Within the first 12 months, you'll: - Be ready to kill something you have shipped if we learned it didn't deliver the value we hoped - Explore completely new opportunities for how RevenueCat may provide greater value to our customers - Make meaningful contributions to our overall product strategy - Have delivered a material, business-impacting new benefit to our customers in your product area WHAT WE OFFER: - Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator - 10-year window to exercise vested equity options - A fully remote environment designed around autonomy and flexibility - 4-5 weeks of flexible time off annually - Paid desk at a co-working space - Workspace budget and continuous learning stipend INTERVIEWING AT REVENUECAT Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed. MORE ON HOW WE WORK: - How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21 - The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/ - How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/ - What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21 - What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. We are seeking an exceptional Senior Marketing Analytics Manager to be embedded in Growth Marketing , the team at Garner that owns B2C member activation & engagement. You will report directly to the Director of Marketing Operations and serve as the dedicated data & analytics partner for our Growth Marketing team. Growth Marketing is responsible for getting employees to sign up and use their Garner benefit — through email, SMS, direct mail, in-app, in-office materials, and employer-led communication channels. We're looking for an exceptional, AI-native data & analytics manager to own how member activation and engagement are operationalized and measured across channels. You'll own the audience targeting & segmentation (SQL queries in Snowflake for our email / sms / direct mail targeting, partnering closely with Engineering) and build the Business Intelligence layer that powers our member engagement campaigns, ranging from cross-system data pipelines, attribution modeling, experimentation frameworks, and funnel & lifecycle analysis through core reporting and dashboards. You'll define the metrics behind member growth and ensure those definitions hold consistently across systems. This is a high-impact role at the heart of our growth engine — helping us engage more members, deliver a first-class member experience, and improve health outcomes at scale. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Targeting & segmentation (campaign operations): Own the audience targeting, segmentation (SQL queries of Snowflake data tables to be built into our Iterable system), and personalization data behind our email, SMS, and direct mail campaigns. Partner with Engineering to troubleshoot upstream Data issues that affect our marketing campaigns, as well as enhance and automate the data mechanics and pipelines so the program can scale. Analytics & Reporting: Own how member activation and engagement are measured end-to-end (e.g., Looker dashboards). Define, build, and maintain the KPIs, metric definitions, performance reports, and dashboards Growth Marketing runs on — funnel and lifecycle metrics, email/SMS campaign activity, channel efficiency, operational health, and KPI target setting. Product & engagement analytics: Bridge marketing activity to member behavior in the Garner app so the team can optimize communications over time. Experimentation: Develop and execute on the Growth Marketing team’s A/B testing program and performance reporting. Data governance: Build our data foundation alongside Data Management & Engineering, Reporting & Business Intelligence, Growth Product to ensure our data is analysis-ready and trustworthy. Build workflows, documentation, QA practices, and tooling that ensure our metrics are standardized across systems and campaigns. Systems & technology stack: Uplevel our data sophistication by designing and building at the systems level, leveraging AI in order to maximize scale and leverage. What you will bring to the team: 4–6+ years in marketing & growth & analytics, business intelligence, growth analytics, marketing analytics, or a similar data-centric role. Growth & marketing, B2C, B2B2C, and Product-led Growth subject matter expertise preferred but not required (e.g., customer funnel analytics, cohort and retention curves, channel attribution, lifecycle email/SMS/direct mail performance, targeting/segmentation, personalization) Expertise in the modern data stack . Hands-on proficiency with Snowflake, SQL, Python, and visualization tools (e.g., Looker, Tableau, Power BI, or similar). Experience with ESP/CRM event data (Iterable, Braze, Salesforce Marketing Cloud, Klaviyo, or similar) is a strong plus. Experience in experimentation & reporting . Familiarity with A/B and incrementality test design, statistics, measurement, and optimization. Analytical rigor and problem framing . You turn a vague business question into the right analysis, define a defensible metric, and state your assumptions rather than jumping to a chart. You’re a strong communicator who’s comfortable using insight to drive decisions for a marketing audience and executives. AI fluency . Comfort with and excitement about harnessing AI agents to build analyses, design dashboards, and validate results. Self-starter approach with the ability to “roll up your sleeves” and juggle multiple priorities & deadlines, doing whatever is necessary to ensure company success. You thrive in a fast-paced, dynamic startup environment. A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The target salary range for this position is $150,000 - $175,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. 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. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Dubai, United Arab Emirates Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. We are looking for a detail oriented and structured Sales Operations Analyst to own Sales Lead Data Quality, ensuring the accuracy, cleanliness, and completeness of our lead pipeline before it is handed over to the Sales team. This role is critical to improving lead quality, increasing sales productivity, and minimizing time spent on invalid or duplicate records. You will serve as the first layer of validation, ensuring the team focuses only on high quality, verified opportunities that are ready for outreach. What You’ll Be Adding Here’s what your day-to-day might look like: Validate and clean large lead datasets sourced from external and internal sources Identify and remove duplicate, invalid, or outdated records to ensure high quality lead pool and ensure relevant CRM updates are made in a timely manner Conduct periodic checks of CRM hygiene and lead on ensuring data hygiene is maintained Support the commercial team on ad‑hoc requests, with a focus on improving productivity, data enrichment and help enhance the customer experience Provide basic reporting on lead pool quality and validation status What You’ll Need to Thrive UAE National (Emirati) Based in Dubai Strong attention to detail and high level of accuracy Structured, organized, and process driven Analytical mindset with the ability to spot inconsistencies in data Comfortable working with Google Sheets or Excel including formulas and data manipulation Able to manage repetitive tasks while maintaining quality Fluent in English Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Make a visible impact every day Your work directly improves experiences for customers, partners and riders. 🌱 Learn fast in an entrepreneurial environment Work close to the market with autonomy, pace and real responsibility. 🧠 Build a career, not just a role Stretch yourself, develop new skills and grow as the business evolves. 🌎 Deliver together in an inclusive culture Collaborative, values-driven teams that support how you work best. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .