What You Will Do As Senior Product Analyst:
Strategic Partnership & Consulting: Act as a primary analytical consultant to Product Managers and Data Scientists, embedding within teams focused on programmatic ad exchanges (e.g., SSPs, DSPs, auction mechanics) and UA campaign optimization/monetization performance.
Cross-Functional Catalyst & Fact-Finder: Act as the analytical bridge connecting Data Engineering (for data integrity), Data Science (for model interpretation and feature engineering), and Product/Marketing (for strategic direction). Proactively investigate data anomalies, system dependencies (e.g., a defunct tagging system), and underlying business mechanisms, driven by curiosity to arrive at the ultimate root cause and develop an evidence-based action plan.
Causal Analytics & Root Cause Identification: Design, execute, and interpret sophisticated analytical projects, with a strong emphasis on causal inference techniques (e.g., difference-in-differences, propensity score matching, robust experimentation analysis) to isolate the true impact of product changes, marketing spend, and market dynamics.
Diagnostic & Prescriptive Insight Generation: Move beyond descriptive reporting to identify the mechanism behind performance shifts (the "So What"). Develop clear, data-driven prescriptions and actionable solutions (the "Now What"), ensuring insights lead directly to measurable business outcomes (e.g., revenue lift, efficiency gains).
Own the Analytics-to-Action Pipeline: Fully own the lifecycle from raw data to executive recommendation. This includes defining key metrics, building robust data models, developing dashboards, interpreting results, and packaging findings into compelling executive narratives, culminating in "Prescriptive Framing" for decision-makers.
Programmatic Expertise: Dive deep into programmatic data streams (bid request signals, response, fill rates, eCPM, latency, etc.) to optimize monetization strategy, inventory quality, and exchange performance.
UA/Growth Performance: Analyze UA campaign algorithm effectiveness, ROAS opportunity, LTV/CAC models, channel efficiency, and attribution integrity to maximize ROI and define optimal investment strategies.
Experimentation Design & Analysis (A/B Testing): Partner on design, setup, and lead robust statistical analysis of complex A/B tests and quasi-experiments across product and growth initiatives.
Experience: 5+ years of experience in a highly quantitative analytical role (e.g., Product Analyst, Business Analyst, Data Scientist) supporting Product or Growth teams.
Domain Expertise: Minimum 3 years of hands-on analytical experience with Programmatic Advertising/Ad Tech (SSP/DSP/Exchange mechanics) OR User Acquisition (UA) monetization and performance.
Analytical Rigor: Analytics mindset. Demonstrated expertise in causal analysis, complex A/B testing, and hypothesis testing. Must be able to defend analytical conclusions against alternative explanations.
