Senior Analytics Consultant Commerce Media

Expertise:

• Commerce Media Domain Expertise: Deep understanding of the commerce or retail media landscape, including measurement capabilities, revenue streams, data strategy and commercialization strategy.
• Digital Media and Marketing Expertise: Deep understanding of digital media and marketing ecosystem, including various marketing channels, media buy models, Familiarity with advertising or campaign performance data, ideally across ad servers, web analytics, or DSPs. Knowledge of key digital marketing KPIs (ROAS, Impressions, CTR, CPA etc.)
• Advanced Analytics Skills: Proficiency in statistical analysis, predictive modeling, machine learning techniques, and experimental design (A/B testing). Familiarity with digital marketing principles such as attribution models (MMM, MTA), incrementality testing, AB testing. Proficiency in statistical analysis, predictive modeling, machine learning techniques, and experimental design (A/B testing). Experience building audience segments using 1P data, behavioral signals, and transaction data

Technical Proficiency:

• Data Platforms:
• Experience with large-scale data platforms and tools (e.g., Snowflake).
• Experience working with first-party data and privacy-safe data environments (e.g., clean rooms, identity resolution)
• Familiarity with advertising or campaign performance data, ideally across ad servers, web analytics, or DSPs.
• AI/ML skills: Hands-on experience in attribution models and developing Gen AI solutions
• Visualization Tools: Hands-on experience with business intelligence and data visualization tools (e.g., Tableau, Power BI, QlikView).

Preferred Skills:

• Experience with programming: proficiency in SQL, Python, or R for data manipulation, statistical analysis, and model development.
• Experience with consumer banking products and customer lifecycle analytics.