Media Analytics Manager, Measurement & Attribution

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

WHO WE ARE Artefact is a French consulting and engineering firm specializing in data and AI, and a leader in Europe. Headquartered in Paris, we are now present in 23 countries across all continents, with a team of 1,700 employees. Our mission is to help businesses unlock the full potential of AI and data by developing tailor-made solutions that address their specific industry challenges. As pioneers in this field, we combine technological expertise with operational excellence, working alongside the world's leading market players. Our clients span all key economic sectors - industry, retail, luxury, consumer goods, healthcare, and finance - and include major international corporations. THE DATA ANALYTICS TEAM You will join our Data Analytics Chapter, a team of 60 professionals with expertise across dashboarding, analytics engineering, marketing measurement, and low-code data science. We are one of three technical teams at Artefact (alongside Software Engineering and Data Science), forming a tech community of 160 people. Despite working on different client engagements, we maintain a strong culture of knowledge sharing through dedicated communities of practice. We are growing fast, with the ambition to double our team size over the next five years.   WHAT YOU WILL BE DOING: KEY RESPONSIBILITIES As a Data Analytics Manager, your role will encompass: Deliver the highest standards of quality on Data marketing projects * Pilot multidisciplinary teams (consultants, data scientists, data analysts, software engineers, media traders) * Develop robust, industry-leading measurement and analytics projects that enable clients with visibility across physical and digital customer journeys (online and offline) * Planning, leading and delivering advanced analytics strategy and solutions for clients including e-commerce, 3rd party tool implementations, and advanced modeling. * Identify and support the delivery of suitable statistical data analysis techniques, to provide recommendations for clients which exceed performance expectations and maximizes ROI * Explore automation techniques that create efficiencies and improve ROI (both internally and for clients) such as scripting, tool development or better client reporting methods * Act as an internal consultant on analytics for significant projects, helping other teams to shape the very best solutions * Lead through the ‘pitch ownership’ and by taking an ‘analytics lead’ role on new business pitches Data Marketing and Analytics leadership * Lead data analytics development, defining and communicating a clear strategy for the team and the value it will add to the agency * Work together with the data consultants to champion analytics development and associated platforms on three fronts – internally to the agency, externally to clients and to represent Artefact’s position to the wider marketing community * Lead and develop roadmaps for our analytics offering, process, and techniques and develop best practice documentation * Develop review and sign off processes to ensure analytics work is always of the highest possible quality * Responsible for Artefact being known as exceptional in analytics in the wider market. Actively seek to build Artefact’s profile within the digital marketing community.  QUALIFICATIONS: EDUCATION & EXPERIENCE REQUIRED CORE REQUIREMENTS * 5+ years of hands-on experience in a data-driven environment. * Strong expertise in at least one of the following domains:        ◦  Dashboarding & Data Visualization: Power BI, Looker, Tableau, or Superset.        ◦  Analytics Engineering: dbt, with experience on BigQuery, Snowflake, or Databricks.        ◦  Marketing Analytics & Measurement: CDP platforms (Treasure Data, Hightouch, Tealium), MMM, attribution, clean rooms.        ◦  Low-Code / No-Code Data Science: Dataiku, Copilot Studio, or similar platforms. * Solid foundation in SQL and Python. * Familiarity with Git and software engineering fundamentals (versioning, testing, code quality). * Experience working in cloud environments (GCP, Azure, or AWS). NICE TO HAVE Experience with generative AI applied to analytics (MCP for BI, conversational data interfaces), exposure to multiple domains above, knowledge of statistics and machine learning fundamentals. Beyond technical expertise, we value: intellectual curiosity, pragmatism and creativity, ability to bridge business and technical teams, autonomy and reliability, and clear communication to build client trust. OUR RECRUITMENT PROCESS 1. HR call 2. Technical Interview 3. Use Case Interview 4. Fit Interview   At Artefact, we recruit our employees only on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.