Senior Analyst, Advanced Analytics

Partner with marketing and commercial stakeholders to translate business questions into structured analytical problems

Identify where analytics and AI can meaningfully improve decision-making (not just reporting)

Use AI-assisted workflows to speed up data preparation, exploration, and quality checks to support visualization and reporting needs

Provide occasional supporting analysis (primarily descriptive/diagnostic; predictive/causal is a plus) to add context to dashboards and stakeholder questions

Leverage AI tools responsibly for: Faster data exploration and pattern detection Query/code assistance Drafting chart narratives or dashboard commentary (with human review)

Faster data exploration and pattern detection

Query/code assistance

Drafting chart narratives or dashboard commentary (with human review)

Human judgment remains central; you are accountable for accuracy and appropriate interpretation of outputs

Design and analyze A/B and multivariate experiments to measure marketing effectiveness

Apply causal thinking to quantify incremental impact and ROI

Help teams understand what is truly driving performance versus correlation or noise

Design decision-oriented dashboards and performance views for business users

Automate recurring analyses to reduce manual effort and increase consistency

Build reusable analytics assets rather than one-off analyses, where possible

Work closely with data engineering, platform, and governance teams to ensure data reliability and usability

Apply appropriate data privacy, compliance, and quality standards in all analyses

Act as a thought partner to stakeholders, not a ticket-taker

Hands-on experience using AI tools to augment analytics work (e.g., code acceleration, data exploration, insight summarization)

Familiarity with Generative AI workflows (e.g., using LLMs for automated sentiment analysis or data normalization)

Strong judgment on when AI outputs can be trusted vs when deeper validation is required

Curiosity and continuous-learning mindset toward emerging analytics and AI

(Deep machine learning engineering is not required.)

Work on high-impact commercial and marketing decisions at enterprise scale

Be part of an analytics team redefining how AI and human judgment work together

Move beyond reporting into true decision intelligence

Build skills that remain relevant as analytics and AI continue to evolve

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