Lead Data Analyst (Marketing Analytics)

Location: Remote role associated with Westlake, Ohio, USA

Salary: USD 107,000–171,200 per year

Company

Provides marketing, packaging, print, and supply chain solutions, including creative execution and business process consulting for clients across multiple industries and countries.

What you will do

• Develop marketing analytics strategies supporting personalization, attribution, and media mix optimization.
• Integrate multi-channel customer data and translate behavioral data into scalable insight frameworks.
• Lead cross-functional analytics initiatives and enterprise-wide insights projects.
• Design and oversee testing frameworks, predictive modeling, segmentation, and audience performance measurement.
• Present analytics findings, advise client leaders, and contribute to strategic planning and solution design.
• Mentor analysts and collaborate with marketing technology, IT, account management, and data engineering teams.

Requirements

• Bachelor’s degree in a quantitative field; a graduate degree is preferred.
• At least 9 years of experience in advanced marketing or product analytics.
• Expertise in Python and/or R, with strong SQL skills for reading data models and independently extracting data.
• Strong knowledge of probability, linear, logistic, and multinomial regression, modern machine learning ensembles, and custom model development.
• Experience with customer or store segmentation; strong communication, storytelling, executive presentation, consulting, and project leadership skills.
• Ability to work autonomously and oversee projects while collaborating with technical and client-facing stakeholders.

Nice to have

• Experience in retail, financial services, automotive, or CPG.
• Forecasting with custom ARIMAX models, marketing mix modeling, multi-touch attribution, and causal analysis.
• Generative AI experience for code development, research, methodology summaries, and client presentations.
• Experience with Snowflake, AWS, Databricks, Microsoft Fabric, PySpark, Snowpark, Pandas, graph databases, NoSQL, or semi-structured and unstructured data.
• Experience with Azure DevOps, Git, Google Analytics, BigQuery, Tableau, Power BI, or similar tools.

Culture & Benefits

• Full-time employment in a dynamic, fast-paced environment focused on innovation, authenticity, and integrity.
• Medical, dental, and vision coverage.
• Paid time off, disability insurance, life insurance, and parental leave.
• 401(k) with company match, adoption assistance, tuition assistance, and employer or partner discounts.
• Employment offers are contingent on a background check and drug screen.