Media Analytics Manager, Measurement & Attribution

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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

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.

Originally posted on Himalayas