Lead Data Analyst

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🔥 0 minutes ago

🏈 Ohio – Remote

🏈 Ohio – Remote

💵 $107k - $171.2k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

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RR Donnelley

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

RR Donnelley is a leading global provider of marketing, packaging, print, and supply chain solutions that elevate engagement across the complete customer journey. The company offers the industry’s most trusted portfolio of creative execution and world-wide business process consulting, with services designed to lower environmental impact. With 22,000 clients, including 93% of the Fortune 100, and 32,000 employees across 28 countries, RRD brings the expertise, execution, and scale designed to transform customer touchpoints into meaningful moments of impact.

📋 Description

• Serve as a strategic advisor on measurement strategies and translate data into innovative cross-channel frameworks • Partner directly with clients to design, implement, and evolve marketing and data analytics programs • Lead engagements involving multi-channel data integration and insights-framework development • Translate analytics into business outcomes across industry verticals • Co-create marketing analytics strategies supporting personalization, attribution, and media-mix optimization • Translate complex customer-behavior data into scalable frameworks for future marketing innovation • 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 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 • Collaborate with Marketing Technologies/IT, Account Management, and data engineers

🎯 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 • Retail, financial services, automotive, or CPG industry experience strongly preferred • Expertise in Python and/or R • Strong SQL proficiency; ability to read data models, write efficient queries, and independently extract data • Strong foundation in probability theory, linear regression, logistic regression, and multinomial regression • Ability to develop custom models using modern machine-learning ensembling techniques and software • Experience building customer and/or store segmentation models • Forecasting experience and ability to build custom ARIMAX models strongly preferred • Marketing Mix and Multi-Touch Attribution experience strongly preferred • Causal analysis experience highly desirable • Foundational understanding of attitudinal research and segmentation approaches • Comfort using generative AI for code development, research, methodology summaries, and client-facing presentations • Strong communication and storytelling skills • Comfort presenting to executive-level clients • Consultative selling skills • Strong active listening and documentation skills • Ability to lead projects and oversee junior analysts • Ability to develop relationships with Marketing Technologies/IT and Account Management • Ability to independently develop solutions with minimal supervision • Experience with modern cloud database platforms such as Snowflake, AWS, Databricks, or Microsoft Fabric • Azure DevOps, Git, or similar version-control experience • Basic data engineering skills and ability to collaborate with data engineers on production processes • Google Analytics and BigQuery experience • Familiarity with Tableau, Power BI, SiSense, or other business-intelligence and visualization platforms

🏖️ 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 • Potential bonus, commission, or incentive program participation