Lead Data Analyst

RR Donnelley • Westlake, OH

3h • 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 industries.

This is an individual-contributor role with expectations to lead projects and oversee the work of more junior analysts. The position requires strong client-facing communication and presentation skills, independent problem-solving, and the ability to develop solutions with minimal supervision in a dynamic, fast-paced environment.

Requirements

• Bachelor's degree in a quantitative field.
• At least 9 years of experience in advanced marketing or product analytics roles.
• Strong proficiency in SQL, including the ability to read data models, write efficient queries, and independently extract data for analytic projects with limited assistance.
• Expertise in Python and/or R.
• 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 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.
• Ability to lead projects and oversee junior analysts while working with minimal supervision.
• Resourcefulness and ability to develop relationships with Marketing Technologies/IT and Account Management.
• Ability to thrive in a dynamic, fast-paced environment, adapt to change, and shift direction as needed.
• Experience with Azure DevOps, Git, or similar version control is essential.
• Basic data engineering skills and comfort collaborating with data engineers to develop production processes.

Nice To Haves

• Graduate degree.
• Business vertical 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 cloud database platforms such as Snowflake, AWS, Databricks, or Microsoft Fabric; direct Microsoft Fabric model-building experience is ideal.
• Experience developing models using 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 and visualization tools such as Tableau, Power BI, or SiSense, and skill in using them to generate 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.
• Identify client solutions that extend beyond their current requests and develop solutions independently with minimal supervision.

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
• The total compensation package may include participation in a bonus, commission, or incentive program, depending on the role.

What This Job Offers

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