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.

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.

Senior Analyst, Analytics & Insights

Key skills