Lead Data Analyst

RR Donnelley • Westlake, OH

1d • $107,000 - $171,200 • Remote

About The Position

The Lead Data Analyst serves as a strategic advisor, guiding measurement strategies and translating data into innovative frameworks for cross-channel success. The role partners directly with clients to design, implement, and evolve marketing and data analytics programs. It leads engagements involving multi-channel data integration, insight-framework development, and translating analytics into business outcomes across verticals. This is an individual-contributor role that leads projects and oversees the work of more junior analysts.

Requirements

• At least 9 years of experience in advanced marketing or product analytics roles.
• A bachelor's degree in a quantitative field is the minimum education requirement.
• Expertise in Python and/or R, and strong SQL proficiency, including reading data models, writing efficient queries, and independently extracting data for analytic projects with limited assistance.
• Strong foundation in probability theory and linear, logistic, and multinomial regression.
• Ability to develop custom models using modern machine-learning ensembling techniques and software, and to build custom solutions directly in R and Python.
• Experience building customer and/or store segmentation models.
• Strong communication and storytelling skills, including comfort presenting to executive-level clients.
• Ability to propose solutions to client problems; consultative selling skills are required.
• Strong active-listening and documentation skills, with the ability to identify solutions that extend beyond a client's current request.
• Ability to lead projects, oversee junior analysts, develop relationships with Marketing Technologies/IT and Account Management, and independently develop solutions with minimal supervision.
• Resourcefulness and ability to thrive in a dynamic, fast-paced environment, adapt to change, and shift direction quickly.
• Azure DevOps, Git, or similar version-control experience is essential.
• Basic data-engineering skills and ability to collaborate with data engineers on production processes.
• Comfort using generative AI to develop code, conduct research, summarize methodology, and develop client-facing presentations.

Nice To Haves

• Graduate degree.
• Industry experience in retail, financial services, automotive, or CPG.
• Forecasting experience, including the ability to build custom ARIMAX models.
• Marketing Mix and Multi-Touch Attribution experience.
• Causal analysis experience.
• Foundational understanding of attitudinal research and segmentation approaches; experience developing behavioral models that predict attitudinal segments.
• Experience with modern cloud database solutions such as Snowflake, AWS, Databricks, or Microsoft Fabric; direct experience using Microsoft Fabric to build client models is ideal.
• Experience developing models in a modern technology stack, particularly PySpark, Snowpark, and Pandas.
• Understanding of graph databases and NoSQL, and experience with semi-structured and unstructured data.
• Google Analytics and BigQuery experience, including integrating customer engagement data into analytics and modeling projects.
• Familiarity with business intelligence solutions such as Tableau, Power BI, and SiSense, and ability to use these tools to create data visualizations.

Responsibilities

• Partner with client leaders to co-create marketing analytics strategies supporting 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.
• Lead projects and oversee the work of more junior analysts.

Benefits

• Medical coverage
• Dental coverage
• 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
• Potential participation in a bonus, commission, or incentive program, depending on the role

What This Job Offers

• Job Type: Full-time
• Career Level: Senior