Lead Data Analyst

🔥 12 hours ago

💵 $107k - $171.2k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

Where this job comes from

Posted on RR Donnelley's careers page ↗RR Donnelley's careers page, not through a job board

First seen by Remote Rocketship 12 hours ago

Still open on RR Donnelley's site. Checked 39 minutes ago.

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Logo of RR Donnelley

RR Donnelley

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 frameworks for cross-channel success • Partner directly with clients to design, implement, and evolve marketing and data analytics programs • Lead engagements involving multi-channel data integration, insights frameworks, and analytics-driven business outcomes • Co-create marketing analytics strategies supporting personalization, attribution, and media mix optimization • Translate customer behavior data into scalable cross-channel marketing innovation frameworks • 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 marketing science initiatives, including test frameworks, predictive modeling, and audience performance measurement • Lead projects and oversee the work of junior analysts • Develop client solutions with minimal supervision and collaborate with Marketing Technologies/IT, Account Management, and data engineers

🎯 Requirements

• Bachelor's degree in a quantitative field required; graduate degree preferred • 9 years of experience in advanced marketing or product analytics roles • Business vertical experience in retail, financial services, automotive, or CPG 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 • Experience developing custom machine learning ensemble models and solutions in R and Python • Experience building customer and/or store segmentation models • Forecasting experience and ability to build custom ARIMAX models preferred • Marketing Mix and Multi-Touch Attribution experience strongly preferred • Causal analysis experience highly desirable • Foundational understanding of attitudinal research and segmentation approaches • Comfortable using generative AI for code development, research, methodology summaries, and client-facing presentations • Strong communication, storytelling, presentation, active listening, and documentation skills • Comfortable presenting to executive-level clients • Consultative selling skills required • Ability to lead projects and oversee junior analysts with minimal supervision • Experience with modern cloud databases 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 • Google Analytics and BigQuery experience • Familiarity with Tableau, Power BI, SiSense, or similar business intelligence 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

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