Lead Data Analyst

About the role

This 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, leading engagements that integrate multi-channel data, develop insights frameworks, and translate 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.

Requirements

• 4-year/Bachelor’s Degree in a quantitative field (minimum); Graduate Degree preferred.
• 9 years of experience in Advanced Marketing or Product Analytics roles.
• Industry experience in Retail, Financial Services, Automotive, or CPG strongly preferred.

Skills

• Programming & Data Extraction: Expertise in Python and/or R; strong SQL proficiency (reading data models, writing efficient queries, and independently extracting data).
• Statistical & Modeling Acumen: Strong foundation in probability theory, linear, logistic, and multinomial regression; ability to develop custom models using modern machine learning ensembling techniques.
• Specialized Modeling: Experience building customer and/or store segmentation models; forecasting background with custom ARIMAX models; Marketing Mix and Multi-Touch Attribution experience strongly preferred; causal analysis experience highly desirable.
• Market Research Knowledge: Foundational understanding of attitudinal research and segmentation approaches; experience developing behavioral models predicting attitudinal segments.
• Generative AI: Comfortable using generative AI to develop code, conduct research, summarize methodology, and create client-facing presentations.
• Interpersonal, Leadership & Consulting Skills:
  • Communication & Presentation: Strong communication and storytelling skills; highly comfortable presenting to Executive-level clients.
  • Consultative Problem-Solving: Able to nimbly propose solutions to client problems; consultative selling skills required.
  • Client Engagement: Strong active listening and documentation skills; ability to identify solutions extending beyond client requests.
  • Leadership & Autonomy: Capable of leading projects and overseeing junior analysts; resourceful in developing relationships with Marketing Technologies/IT and Account Management; independent solution development with minimal supervision.
  • Work Style: Thrives in a dynamic, fast-paced environment; energized by new challenges; resilient to change and nimble in shifting direction.
• Advanced Technical Stack & Tools (Flexible/Preferred):
  • Cloud & Database Platforms: Experience with Snowflake, AWS, Databricks, Microsoft Fabric; direct experience using Microsoft Fabric for client model development ideal.
  • Modern Data Stack: Experience with PySpark, Snowpark, and Pandas strongly preferred.
  • Data Architecture: Understanding of graph databases and NoSQL; experience with semi-structured and unstructured data strongly desired.
  • Data Engineering & MLOps: Azure DevOps, Git, or similar version control background; basic data engineering skills; comfortable collaborating with data engineers.
  • Web Analytics Integration: Google Analytics and BigQuery experience; ability to integrate customer engagement data into analytic and modeling projects.
  • Business Intelligence & Visualization: Familiarity with Tableau, Power BI, SiSense, or similar platforms; skill in generating data visualizations.

Pay

RRD’s current salary range for this role is $107,000 to $171,200 per year. The range may be adjusted based on geographic location and may change in the future. Compensation decisions vary based on education, skills, experience, proficiency, performance, shift, and location. Depending on the role, total compensation may also include participation in a bonus, commission, or incentive program.

Benefits

• Medical, dental, and vision coverage.
• Paid time off.
• Disability insurance.
• 401(k) with company match.
• Life insurance and other voluntary supplemental insurance coverages.
• Parental leave.
• Adoption assistance.
• Tuition assistance.
• Employer/partner discounts.