Role OverviewThe 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.
What You Will Do
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. Provide thought leadership across domains and mentor others in advanced analytics techniques.
Why It Might Be a Fit
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.
Requirements
- 4 Year / Bachelors Degree In a quantitative field (Minimum)
- Graduate Degree (Preferred)
- 9 years experience in Advanced Marketing or Product Analytics roles
- Industry experience: Business vertical experience in. Retail, Financial Services, Automotive , or CPG strongly preferred.
- Expertise in Python and/or R
- Strong SQL proficiency
- Strong foundation in probability theory
- Linear, logistic, and multinomial regression
- Experience building customer and/or store segmentation models
- Forecasting background with the ability to build custom ARIMAX models
- Marketing Mix and Multi-Touch Attribution experience
- Causal analysis experience is highly desirable
Benefits
- Medical, dental, and vision coverage
- Paid time off
- Disability insurance
- 401(k) with company match
- Life insurance
- Voluntary supplemental insurance coverages
- Parental leave
- Adoption assistance
- Tuition assistance
- Employer/partner discounts
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