Description
At Instacart, we're transforming the grocery industry by delivering an essential service that customers rely on to get their groceries and household goods. 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.
Overview
The Marketing Data Science & Analytics (MDSA) team is Instacart's analytical engine for Paid Media, SEO, and Retailer Marketing , partnering with channel leaders, Finance, and senior marketing leadership to ensure every investment dollar is guided by rigorous, causal measurement.
Responsibilities
- Lead and develop a team of 5 Decision Scientists and Marketing Analysts, owning their performance, growth, and day-to-day direction , setting and enforcing a high-quality bar across all team output.
- Own the end-to-end delivery of MDSA's paid marketing analytics workstreams: channel-level goal-setting, pacing, incrementality testing, acquisition and retention analysis, and Retailer Marketing measurement.
- Lead the team's contribution to the unified marketing measurement framework - MMM, incrementality testing, LTV, MTA , coordinating MMM inputs, incrementality test organization, and reporting.
- Drive re-goaling, rebasing, and scenario modeling exercises that directly inform how Instacart allocates its marketing budget.
- Serve as the primary analytical point of contact for senior marketing leadership and Finance , owning those relationships independently and representing MDSA in MBRs, SBRs, and Pacing Meetings.
- Define and drive the Marketing Decision Science roadmap in partnership with the Director, translating business priorities into sequenced analytical investments.
- Partner with Marketing Data Science on Measurement architecture, LTV modeling, and measurement infrastructure.
- Identify opportunities to improve analytical self-serve and reduce recurring reporting burden through tooling and automation.
- Build team capacity and coverage plans proactively, including across periods of reduced availability.
- Anticipate stakeholder needs and surface proactive insights , not just reactive analysis.