Media Analytics Manager, Measurement & Attribution

Measurement Science Manager II

Instacart

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview   About the Role - We are looking for an experienced analytics professional specialized in advanced experimentation and attribution modeling to join our Measurement Science Team in Media Analytics. As an analytics expert, you’ll develop sophisticated measurement solutions that demonstrate the effectiveness of advertising on the Instacart platform.  This role offers a unique opportunity to work with multi-retailer 1st party deterministic data to provide causal understanding of advertising impact on consumer behavior.  You’ll represent Instacart’s measurement capabilities both internally and externally to leading CPG brands and agency partners.  Success in this position requires not only analytical expertise but also the ability to build strategic partnerships with advertisers and crossed-functional partners through data-driven and recommendations.   About the Team - The Measurement Science Team is our advertiser-facing team that uses experimentation and custom analytics to help our advertisers understand the effectiveness of their advertising spend. Measurement Science is one part of our broader Media Analytics organization, whose mission is to leverage data to identify opportunities, prove value, and improve performance of Ads through impactful insights, strategic partnership and operational efficiency.   About the Job  * Design and execute advanced experiments that prove advertising value and optimize campaigns, delivering actionable insights that drive business decisions * Analyze experiment data to produce nuanced recommendations for improving ad performance and measurement outcomes * Tailor measurement approaches to meet stakeholder needs, by developing innovative metrics and data visualizations that reveal deeper business insights * Proactively partner with stakeholders to shape media measurement strategies and address complex challenges, navigating through ambiguous measurement questions  * Present experimental findings and other data-driven insights with an executive presence to senior clients, educating them on methodologies and ensuring alignment on actionable insights * Lead discussions, trainings, and Q&A sessions as a thought leader on ad measurement and experimentation to inspire confidence in measurement outcomes with clients and internal teams * Identify strategic opportunities, including client upsell potential or internal operational improvement needs, informed by data-driven insights * Develop customized analytical solutions, including code, dashboards, and self-service tools with data-driven enhancements either through client works and/or project initiatives * Applying AI across your work to raise quality and move faster. We use Claude and Cursor for writing, debugging, and refactoring code, and our internal AI platform to accelerate analysis, automate repetitive workflows, and scale measurement solutions. We expect you to actively look for opportunities to apply these tools to gain efficiency.   About You Minimum Qualifications * Bachelor’s Degree in a quantitative field such as Engineering, Mathematics/Statistics, Finance, Economics, Business  * 6+ years of experience in data and measurement or consulting fields with demonstrated expertise in statistical data analytics * 3+ years of relevant experience within advertising efficacy, media/marketing measurement, and experimentation * Advanced expertise in experimentation techniques, including A/B testing, holdout designs, and incrementality measurement * Strong data storytelling and advanced visualization skills using tools like Tableau or Mode * Experience developing self-service tools and dashboards for stakeholders * Strong SQL skills and proficiency in statistical programming (Python/R) to create and validate custom analytical solutions * Track record of turning analytics insights into strategic recommendations that drive business outcomes * Track record of operating independently, demonstrating curiosity, active listening skills, creativity, and delivering results in a highly organized manner   Preferred Qualifications * 4+ years of conducting and presenting lift measurement studies to clients * Experience directing sales teams in an analytic/quantitative capacity * Advanced knowledge of statistical techniques including marketing mix modeling, Bayesian analysis, and causal inference * Ability to automate processes using AI-driven tools and workflows * Technical expertise in advanced experimental methodologies including A/A testing, SRM detection, and statistical techniques that ensure measurement validity and reliability * Comprehensive knowledge of ad auction mechanics, targeting algorithms, and attribution models   #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here. For Canadian based candidates, the base pay ranges for a successful candidate are listed below. CAN $140,000—$148,000 CAD

Ads AI Analytics Lead II

Instacart

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.   Overview Instacart’s Commercial Scaled Intelligence (CSI) team is an AI-first group focused on turning data into action—building products that drive revenue growth, operational efficiency, and better outcomes for our customers, shoppers, retailers, brands, and partners. As the Ads AI Analytics Lead, you will own the intelligence behind our Ads agents. You’ll design the semantic and context layer for advertising, and build production-grade agents that analyze campaigns, diagnose performance, and recommend actions that improve ROAS, pacing, and partner outcomes. You will collaborate closely with Ads GTM, Product, Data Science, and Engineering to ship vertical agents with measurable lift. This seat is uniquely high-impact: the tools you build are used daily by Sales, Brand Partnerships, and Ads teams, including a sales tool used by approximately 265 sellers. You will see your work show up in real workflows and on the Ads P&L. AI is the default on this team, not the experiment—and you’ll own a workstream end to end, from data models and pipelines to agent logic and the user interface. If you thrive in fast-paced environments, enjoy partnering cross-functionally, and want meaningful ownership, you’ll feel at home here. This role is remote-friendly. Preference for candidates who can collaborate with teams based in New York City.   About the Job * Define Ads ontologies and canonical metrics across campaigns, budgets, bids, creatives, audiences, and placements to power consistent reasoning and recommendations. * Build robust dbt models and curated marts in Snowflake (or BigQuery) with clear data contracts, tests, SLOs, and monitoring; orchestrate pipelines with Airflow. * Ingest, structure, and enrich unstructured Ads content; publish retrieval-ready datasets leveraging managed search/vector services to enable high-quality grounding. * Design and evaluate RAG workflows (hybrid search, re-ranking) with explicit quality and latency targets; iterate via offline/online experiments to improve performance. * Design agent reasoning, tools, and policies for Ads use cases, including human-in-the-loop approvals and guardrails that balance safety, cost, and speed. * Establish evaluation suites and dashboards tracking precision/recall, calibration, hallucination rate, latency, and cost; drive continuous model and system improvements. * Run A/B and uplift experiments to quantify business impact; own KPIs such as ROAS lift, pacing accuracy, RCA precision/recall, forecast MAPE, and time-to-insight. * Partner with Ads Product, Ads Engineering, Sales leadership, Data Engineering, and R&D to align roadmaps, de-risk launches, and ship high-quality production agents. * Own your workstream end to end—from data and pipelines to the UI and agent logic—delivering secure, observable, and reliable tooling that’s adopted by the field.   About You Minimum Qualifications * 4–7 years of experience in analytics engineering, data science, or applied AI, with advanced proficiency in Python and SQL. * 2+ years working with ads, retail, or e‑commerce data. * Hands-on experience with dbt and Snowflake or BigQuery, including data modeling, testing, documentation, and managing data contracts. * Experience orchestrating data pipelines with Airflow (or a similar scheduler), including alerting and on-call support for data SLOs. * Ability to design and run offline/online evaluations and A/B or uplift tests; familiarity with experiment design and statistical inference. * Fluency in Ads analytics concepts: ROAS, CPA, CTR, CVR, LTV, pacing, auction dynamics, and incrementality. * Shipped at least one production data or AI system used by business stakeholders, with demonstrable business impact. * Experience with evaluation and guardrail frameworks and human‑in‑the‑loop QA workflows. * Proficiency with at least one BI/visualization tool (e.g., Looker, Tableau, Mode, or Power BI). * Bachelor’s degree in a quantitative field (e.g., Computer Science, Engineering, Statistics) or equivalent practical experience. Preferred Qualifications * Experience building AI-driven products or agents end to end, including retrieval design (hybrid search, re-ranking) and vector search. * Deep expertise in advertising products and operations, with a track record of driving automation that improved ROAS, pacing, or operational efficiency. * Applied experience with Ads modeling techniques such as forecasting, anomaly detection, uplift modeling, and causal inference. * Hands-on experience with workflow automation or internal tooling (e.g., Retool, Superblocks, Zapier, n8n, Gumloop) and/or front-end frameworks (e.g., React) to translate insights into actions. * Familiarity with retail media and ad ecosystems (e.g., Amazon Ads, Google Ads, Meta, Shopify, DoorDash) and their measurement frameworks.   #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here. For Canadian based candidates, the base pay ranges for a successful candidate are listed below. CAN $140,000—$148,000 CAD

Marketing Analytics Manager

Pergolux

As Marketing Analytics Manager, you will own the full marketing intelligence cycle across all 14 of our markets, from reliable web tracking and clean data collection to decision-driven dashboards, incrementality measurement, and the steering logic our growth teams rely on. Based in Berlin, you will be the person who ensures marketing decisions are grounded in accurate data, and you will help answer where the next Euro of media spend should go to maximise revenue, margin, and efficiency. This is a role with genuine scope to build the marketing analytics function and grow into senior analytics leadership as PERGOLUX expands. PERGOLUX designs and delivers premium, Scandinavian-inspired outdoor living products, from pergolas to garden furniture, directly to consumers. With around 300 employees and roughly €200M in revenue, we have grown consistently across Europe and beyond, and our marketing team combines performance marketing with rigorous data work. What You'll Do - Own marketing tracking quality and measurement reliability across all markets, setting up and auditing GTM, GA4, ad platform pixels, server-side tracking, conversion APIs, UTMs, and event taxonomy for clean, GDPR-compliant data across Google, Meta, TikTok, affiliates, and CRM. - Design, build, and automate dashboards in tools such as Looker and AI-assisted reporting workflows that explain what is happening, why, and what action to take, and own the metric definitions that make them the single source of truth. - Design and run structured incrementality tests, including geo-lift tests, holdout tests, and pre/post analyses, to measure the true marginal impact of media spend, promotions, channels, and campaigns. - Partner with the Marketing Operations Lead and Head of Marketing to define budget allocation frameworks across Google, Meta, SEO, affiliates, and email, and translate data on traffic, cohorts, funnels, and creative performance into clear growth recommendations for country managers and leadership. - Set analytics standards, documentation, and best practices, support and improve our MCP and data connector ecosystem, and challenge misleading metrics so decisions rest on sound data. What You'll Bring - 3+ years of experience in Marketing Analytics, Web Analytics, or Growth Analytics, ideally within D2C e-commerce, with hands-on knowledge of GTM, GA4, e-commerce data layers, pixels, server-side tracking, UTMs, and conversion APIs. - High proficiency in SQL and experience working with cloud data warehouses and multiple marketing, CRM, and e-commerce data sources. - Solid understanding of attribution, incrementality, cohort analysis, funnel analysis, CAC, ROAS, MER, contribution margin, and payback. - A strong statistical mindset with practical experience designing A/B tests, geo-lift tests, holdout tests, or conversion lift studies, and the communication skills to turn analytical topics into clear guidance for marketing and leadership. - Bonus: experience with AI-assisted analytics, API connectors, automated reporting, or marketing data infrastructure. What we offer 💼 Compensation — Competitive salary · Company pension plan · Capped overtime, fully paid 🚀 Growth and Career Development — You will take real ownership from the start with direct impact on key business outcomes, work with an international team across Europe, and follow fast-track opportunities to grow into senior leadership roles as PERGOLUX scales. ⏰ Time Off and Flexibility — Up to 30 vacation days, starting at 27 · One week per year of remote workation in the EU/UK 🌟 Benefits and Lifestyle - Modern setup and laptops (Apple or Windows) - Employee discounts on PERGOLUX products - Jobrad / Bike leasing program, promoting sustainable and healthy commuting - Regular team events (summer party, Christmas party, after-work gatherings) and retreats 📍 Office Location – Schlesische Str. 27 C, Building C, 6th floor, 10997 Berlin (easily accessible by public transport) How to Apply Ready to build the analytics backbone of a growing premium e-commerce brand? Apply through our Career Page or reach out via LinkedIn. We review applications on a rolling basis and look forward to hearing from you. PERGOLUX is an equal opportunity employer. We welcome applicants from all backgrounds, we think it's less about ticking every box and more about what you bring to the table!