Lead Data Analyst

The Lead Data Analyst serves as a strategic advisor, guiding measurement strategies and translating data into innovative frameworks for cross-channel success. This roles 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.

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.

- S pecialized 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)

- Communication & Presentation: Strong communication and storytelling skills are an absolute must for this role. Candidates must be highly comfortable presenting to Executive-level clients.

- Consultative Problem-Solving: Able to nimbly propose solutions to client problems. Although this is not a sales role, consultative selling skills are required for success.

- Client Engagement: Strong active listening and documentation skills are required. The individual in this role must be able to identify solutions for clients that extend beyond their current request.

- Leadership & Autonomy: While this is an Individual Contributor role, the expectation is that the individual will be able to lead projects and oversee the work of more junior analysts. Must be highly resourceful, capable of developing relationships with Marketing Technologies/IT and Account Management, and able to independently develop solutions with minimal supervision.

- Work Style: Thrives in a dynamic, fast-paced environment. Energized by new challenges with an optimistic outlook, resilient to changes, and nimble in shifting direction quickly as needed.

Advanced Technical Stack & Tools (Flexible/Preferred)

- Cloud & D