Lead Data Analyst

🔥 0 minutes ago

🏈 Ohio – Remote

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💵 $107k - $171.2k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 0%

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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 guiding measurement strategies and translating 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 framework development, and translating analytics into business outcomes • Co-create marketing analytics strategies supporting personalization, attribution, and media mix optimization • Translate complex customer behavior data into scalable frameworks for cross-channel 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 marketing science initiatives, including test frameworks, predictive modeling, and audience performance measurement • Develop custom customer and/or store segmentation models, forecasting models, and analytical solutions • Present insights and solutions to executive-level clients • Lead projects and oversee the work of junior analysts

🎯 Requirements

• 4 Year / Bachelors Degree in a quantitative field (Minimum) • 9 years 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 for analytic projects with limited assistance • 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 build custom solutions directly in R and Python • Experience building customer and/or store segmentation models • 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 solutions such as Snowflake, AWS, Databricks, or Microsoft Fabric • Azure DevOps, Git, or similar version control background • Basic data engineering skills and ability to collaborate with data engineers on production processes • Google Analytics and BigQuery experience • Familiarity with Business Intelligence solutions such as Tableau, Power BI, or SiSense • Experience with ARIMAX models, Marketing Mix, and Multi-Touch Attribution strongly preferred • Causal analysis experience highly desirable • Foundational understanding of attitudinal research and segmentation approaches • Comfort using generative AI to develop code, conduct research, summarize methodology, and develop client-facing presentations • Experience with PySpark, Snowpark, and Pandas strongly preferred • Understanding of graph databases and NoSQL, and experience with semi-structured and unstructured data strongly desired

🏖️ 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 participation in a bonus, commission, or incentive program

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