Senior Analyst, Analytics & Insights

Responsibilities

• Analyze integrated marketing and customer journey datasets to understand the drivers of success/failure in the context of client strategy and develop clear recommendations for a non-technical audience from this data.
• Build machine learning models (scikit-learn, XGBoost) & run statistical experiments (control vs. exposed, MAB) to validate, predict, and identify drivers of marketing outcomes.
• Explore and learn to leverage new analytics datasets and tools, helping clients understand how they can support insights and optimization.
• Design, build, and train clients to understand reporting, dashboards, and performance insights for ongoing client delivery (Data Studio, PowerBI, Tableau, PowerPoint).
• Present and discuss analysis with internal stakeholders and clients, including adapting content for different audiences.
• Build and maintain data architecture documentation to ensure clarity across teams on what datasets are canonical and where they come from.
• Mentor junior analytics team members to support their ongoing development, always promoting creativity as well as structured thinking.

Required Qualifications

• At least 5+ years domain experience within digital analytics, marketing analytics or related field.
• Working knowledge of SQL and Python (incl. Pandas) for analytics and machine learning
• Experience with statistical modeling and experimental design, including randomized control designs, regression modeling, decision tree / random forest classification, or other machine learning approaches.
• Bachelor’s degree in data science, business analytics, social sciences, or another related discipline with meaningful exposure to data analysis.
• Ability to thrive in a highly collaborative, cross-functional environment where analytics supports and works closely with tech, creative, and execution teams
• Innately curious and keen to learn new skills and new tools
• Excellent communication skills – verbal and written. This is a client-facing analytics role.

Preferred Qualifications

• Experience with machine learning & modeling tools including Scikit-Learn, XGBoost, PyMC, Statsmodels, Prophet, and/or Dataiku
• Experience with cloud data platforms including Snowflake, Databricks, AWS, Google Cloud, etc. Snowflake experience is especially valuable.
• Experience with data analysis & visualization tools including Data Studio (formerly Looker Studio), Tableau, Sigma, PowerBI, and/or Datorama.
• Experience with digital experience analytics tools including Google Analytics, Google Ads, Meta Ads, TikTok Ads, and/or SEMRush.
• Experience using AI tools (including custom skills / agents) to accelerate data analysis, code generation, or insight development.