Measurement Science Manager II

Instacart

7d•CA$140,000 - CA$148,000•Remote

About The Position

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. 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.

Requirements

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

Nice To Haves

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

Responsibilities

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