Lead Data Analyst

RR Donnelley

. Serve as a strategic advisor guiding measurement strategies and translating data into innovative frameworks for cross-channel success .

Posted 9/18/2026full-timeRemote • Ohio • United StatesSenior💰 $107,000 - $171,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced marketing analytics, including multi-channel data integration, predictive modeling, and marketing mix optimization. Proficient in Python, R, and SQL, with a strong foundation in statistical methods and experience in client-facing roles.

Highest-signal resume keywords

Advanced Marketing AnalyticsPython ProgrammingSQL ProficiencyPredictive ModelingMarketing Mix Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IntegrationCustomer Segmentation ModelsMachine Learning EnsemblingCausal AnalysisARIMAX ModelsBehavioral ModelingProbability TheoryLinear RegressionLogistic RegressionMultinomial Regression

Soft Skills

Strong Communication SkillsStorytelling SkillsConsultative Selling SkillsActive Listening SkillsRelationship Building

Tools & Technologies

Google AnalyticsBigQueryTableauPower BISiSenseSnowflakeAWSDatabricksMicrosoft FabricAzure DevOps

Industry Keywords

RetailFinancial ServicesAutomotiveCPGMarketing AnalyticsData AnalyticsClient ConsultationsInsights DevelopmentCross-Channel MarketingData Visualization

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudPythonSQLTableau

About the role

Key responsibilities & impact

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 translation of 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 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 and mentor others in advanced analytics techniques
Design and oversee strategic marketing science initiatives, including test frameworks, predictive modeling, and audience performance measurement
Develop data visualizations using business intelligence tools
Lead projects and oversee the work of more junior analysts

Requirements

What you’ll need

4 Year / Bachelors 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 and linear, logistic, and multinomial regression
Ability to develop custom models using modern machine learning ensembling techniques and software
Ability to build custom solutions directly in R and Python
Experience building customer and/or store segmentation models
Forecasting background with 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
Experience developing behavioral models predicting attitudinal segments ideal
Comfortable using generative AI to develop code, conduct research, summarize methodology, and develop client-facing presentations
Strong communication and storytelling skills
Comfortable 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 experience
Basic data engineering skills and ability to collaborate with data engineers on production processes
Google Analytics and BigQuery experience
Knowledge of integrating customer engagement data into analytics and modeling projects
Familiarity with BI solutions such as Tableau, Power BI, or SiSense
Subject to successful pre-employment background and drug screen

Benefits

Comp & perks

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 in addition to base salary
Remote work