Lead Data Analyst

About the role

The Lead Data Analyst serves as a strategic advisor, guiding measurement strategies and translating data into innovative frameworks for cross-channel success. This role partners directly with clients to design, implement, and evolve marketing & data analytics programs. It leads engagements that require integration of multi-channel data, development of insights frameworks, and translates analytics into business outcomes across verticals.

Responsibilities

• Partner with client leaders to co-create marketing analytics strategies that support personalization, attribution, and media mix optimization.
• Translate complex customer behavior data into scalable frameworks that inform future marketing innovation across channels.
• Lead cross-functional analytics initiatives and enterprise-wide insights projects.
• Represent analytics expertise in insight development, client consultations, strategic planning, and solution design.
• Provide thought leadership across domains and mentor others in advanced analytics techniques.
• Design and oversee strategic marketing science initiatives, including test frameworks, predictive modeling, and audience performance measurement.

Qualifications

Education: 4 Year / Bachelors Degree In a quantitative field (Minimum) Graduate Degree (Preferred)

Experience: 9 years experience in Advanced Marketing or Product Analytics roles

Industry experience: Business vertical experience in. Retail, Financial Services, Automotive , or CPG strongly preferred.

Programming & Data Extraction: Expertise in Python and/or R. Strong SQL proficiency is mandatory; candidates must be able to read data models, write efficient queries, and independently extract data for analytic projects with limited assistance.

Statistical & Modeling Acumen: Must possess a strong foundation in probability theory, as well as linear, logistic, and multinomial regression. Candidates must be able to develop custom models using modern machine learning ensembling techniques and software, as well as building custom solutions directly in R and Python.

Specialized Modeling: Must have experience building customer and/or store segmentation models. A forecasting background with the ability to build custom ARIMAX models, along with Marketing Mix and Multi-Touch Attribution experience, is strongly preferred. Causal analysis experience is highly desirable.

Market Research Knowledge: Foundational understanding of attitudinal research and segmentation approaches. Ideal candidates will have developed behavioral models predicting attitudinal segments.

Generative AI: Comfortable using generative AI to develop code, conduct research, summarize methodology, and to develop client-facing presentations.

Interpersonal, Leadership & Consulting Skills (Required):