[Hiring] Lead Data Analyst @RR Donnelley

Role Description

The 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. It leads engagements that require integration of multi-channel data, development of insights frameworks, and translates analytics into business outcomes across verticals.

• 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.

Qualifications

• 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.
• Statistical & Modeling Acumen: Strong foundation in probability theory, linear, logistic, and multinomial regression.
• Specialized Modeling: Experience building customer and/or store segmentation models; forecasting background with custom ARIMAX models preferred.
• Market Research Knowledge: Foundational understanding of attitudinal research and segmentation approaches.
• Generative AI: Comfortable using generative AI for code development, research, and client-facing presentations.
• Interpersonal, Leadership & Consulting Skills: Strong communication and storytelling skills; consultative problem-solving abilities.
• Work Style: Thrives in a dynamic, fast-paced environment; resilient to changes.

Requirements

• Cloud & Database Platforms: Experience with modern cloud database solutions such as Snowflake, AWS, Databricks, Microsoft Fabric.
• Modern Data Stack: Prefer experience with model development in a modern technology stack, specifically PySpark, Snowpark, and Pandas.
• Data Architecture: Understanding of graph databases and NoSQL; experience with semi-structured and unstructured data.
• Data Engineering & MLOps: Azure DevOps, Git, or similar version control background; basic data engineering skills.
• Web Analytics Integration: Google Analytics and BigQuery experience; knowledge of integrating customer engagement data.
• Business Intelligence & Visualization: Familiarity with Business Intelligence solutions such as Tableau, Power BI, SiSense.

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