Job Description:
• Develop data-driven prospect briefs identifying high-potential brand targets based on market share, category penetration, and competitive positioning
• Build budget recommendations and media plans grounded in historical performance benchmarks and retailer-level data
• Create compelling pitch materials, including performance projections and ROI scenarios, to support the sales team in new business presentations
• Own the end-to-end production of monthly performance narratives for brand clients, translating raw ad data into clear, strategic stories for client review meetings
• Conduct quarterly deep-dive analyses evaluating campaign health, incrementality, share of voice, and consumer behavior trends
• Frame insights around business outcomes—connecting ad spend to ROAS, new buyer acquisition, market dollar share, and conversion rate improvements
• Design and maintain client-facing dashboards and internal reporting tools using visualization platforms such as Hex or Looker
• Develop reusable templates and automated workflows to streamline monthly and quarterly reporting cycles
• Ensure data accuracy and consistency across all deliverables through rigorous QA processes
• Serve as the analytical voice in client meetings, confidently presenting findings and fielding data questions from brand stakeholders
• Provide strategic recommendations for new campaign launches, budget reallocations, and placement optimizations based on performance data
• Quantify the cost of inaction—translate ad spend pauses or reductions into measurable performance impact to reinforce the value of sustained investment
• Work closely with Sales, Ad Operations, and Product teams to align on priorities, surface data needs, and communicate insights across the organization
• Participate in product testing for new ad placements, targeting features, and platform capabilities, providing structured feedback grounded in performance data
• Support ad hoc analytical requests from the sales team with quick, accurate turnarounds.
Requirements:
• 3-5+ years of experience in digital advertising analytics, media analytics, ad operations, or a related data-driven role
• Proficiency in SQL with hands-on experience querying large datasets (Snowflake strongly preferred)
• Strong data storytelling ability—you can turn a table of numbers into a narrative that drives action
• Comfort in client-facing settings: you can present findings clearly and handle questions with confidence
• Experience working cross-functionally with sales, operations, and product teams
• Strong organizational skills with the ability to manage multiple deliverables across clients and deadlines.
• Use snowflake or Hex to maintain, update and create ad reporting for client reviews
• Be familiar with the following schemas: Ad platform Data, POS Data, Telemetry Data, Product Data, Retailer Data.
• Understand how all of the following relate to each other in order to build: Market Share Reports, Market Impact Reports, QBRs, Ad Metric Reporting, Ad Incrementality Reporting, Retailer Level Reporting.
• Be familiar enough with the data to quickly and accurately pull insights (ad projections, store lists, state rollups etc.) for sales and product teams.
• Understand ads, snowflake and the data to write queries to test impact of campaign optimizations
• Work with Product team to rewrite incrementality report with A-B testing using ad server and user level data.
Benefits:
• Full medical benefits including dental and vision plans to ensure you always have the best care.
• Equity packages in the form of stock options to all employees.
• Technology (hardware, software, reading materials, etc..) allowance
• Flexible vacation and sick days