Senior Marketing Analyst (Multiple Levels)

Instacart

8h•Remote

About The Position

As a Marketing Analyst, you'll play a critical role in measuring, analyzing, and optimizing Instacart's growth across multiple marketing channels, including SEO, SEM, paid social, display, and other digital acquisition channels. You'll combine analytical rigor, marketing intuition, and channel fluency to uncover insights that drive smarter investment decisions and stronger performance across our marketing funnel. This is a rare opportunity to impact a high-growth company that's changing the way people feed their households. Our team excels in using data-driven insights and developing frameworks to address complex challenges within the marketplace. We serve as a point of connection between teams, facilitating collaboration, idea sharing, and alignment, helping Instacart develop more holistic solutions. You'll gain high visibility into Instacart's Marketing, Product, Operations, Finance, Engineering, and Data Science teams. We're looking for a self-driven, strategic thinker who can hit the ground running to ultimately influence decision-making across the entire organization.

Requirements

Bachelor's degree (or equivalent) in Marketing Analytics, Economics, Computer Science, Statistics, or a related quantitative field
4+ years of experience in marketing analytics, growth analytics, or digital marketing measurement
Strong SQL proficiency — capable of querying large datasets, building automated data pipelines, and performing complex joins and aggregations
Experience with marketing analytics tools across multiple channels, including: SEO tools (Google Search Console, Ahrefs, SEMrush, Screaming Frog, etc.)
Paid media platforms (Google Ads, Meta Ads Manager, LinkedIn Campaign Manager, etc.)
Web analytics (Google Analytics, Adobe Analytics, etc.)
Deep understanding of marketing metrics (CTR, CVR, CPC, CPA, CAC, ROAS, LTV, share of voice, etc.) and experience using data visualization tools (Looker, Tableau, Power BI)
Knowledge of attribution models (multi-touch, last-click, data-driven) and how they affect channel optimization and media investment decisions
Proven ability to synthesize data into compelling narratives and translate complex analysis into clear, actionable recommendations
Excellent communication skills with the ability to engage with senior leadership and present to executive audiences
Experience managing and prioritizing work across multiple teams and stakeholders in dynamic environments
Comfort working in ambiguous environments with the ability to define problems, develop frameworks, and drive toward solutions independently
Growth mindset — curious, proactive, and eager to test hypotheses, learn from results, and share insights

Nice To Haves

Experience with statistical analysis and experimentation (A/B testing, incrementality testing, causal inference)
Familiarity with Python or R for advanced analysis, marketing mix modeling, or predictive analytics
Experience with and passion for working in ambiguous, high-growth, 0-1 environments
Knowledge of incrementality measurement techniques and marketing mix modeling
Understanding of technical SEO, site architecture, and web performance metrics
Experience with customer segmentation, cohort analysis, and behavioral analytics

Responsibilities

Own reporting and insights across multiple marketing channels (SEO, SEM, paid social, display, affiliate, etc.), providing visibility into spend efficiency, CPA, ROAS, LTV, and conversion metrics
Partner with growth marketing teams to evaluate campaign and channel performance, identify high-ROI opportunities, and optimize budget allocation across platforms
Lead SEO performance analysis — tracking organic visibility, technical SEO health, keyword rankings, and on-site engagement data to inform both content strategy and technical roadmaps
Build and maintain dashboards and data pipelines in SQL and BI tools (Looker, Tableau, etc.) to automate reporting and enable self-service analytics for marketing stakeholders
Develop attribution and incrementality frameworks to understand cross-channel impact, measure marketing efficiency, and optimize investment across paid and organic channels
Create robust analytical frameworks to refine decision-making across various marketing initiatives and channel experiments
Conduct A/B testing and experimentation to measure channel lift, creative effectiveness, landing page optimization, and audience targeting outcomes
Translate complex datasets into understandable narratives and actionable recommendations for both technical and non-technical audiences
Proactively identify areas for significant impact, growth opportunities, and investment prioritization across the marketing portfolio
Communicate insights effectively to marketing stakeholders and senior leadership, influencing decisions on channel strategy, budget allocation, creative direction, and product development
Collaborate cross-functionally with data science, product, engineering, and business development teams to ensure marketing data is properly tracked, tagged, attributed, and integrated into broader company analytics
Help prioritize and define roadmap for marketing analytics initiatives and tool development