Lead Data Analyst

This is a fully remote position, open to applicants in Ohio.

📋 Description

• Act as a strategic consultant, guiding measurement strategies and converting data into innovative frameworks for success across multiple channels.

• Collaborate directly with clients to design, implement, and enhance marketing and data analytics programs.

• Lead initiatives involving the integration of multi-channel data, development of insights frameworks, and translation of analytics into business results.

• Co-develop marketing analytics strategies that support personalization, attribution, and optimization of media mix.

• Convert complex customer behavior data into scalable frameworks that foster future marketing innovation across channels.

• Spearhead 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 methodologies.

• Design and manage strategic marketing science initiatives, which include test frameworks, predictive modeling, and measurement of audience performance.

• Create data visualizations utilizing business intelligence tools.

• Oversee projects and manage the work of junior analysts.

⛳️ Requirements

• A Bachelor's degree in a quantitative field (minimum requirement).

• A graduate degree is preferred.

• A minimum of 9 years of experience in advanced marketing or product analytics roles.

• Experience in Retail, Financial Services, Automotive, or CPG industries is strongly preferred.

• Proficiency in Python and/or R.

• Strong SQL skills; capable of reading data models, writing efficient queries, and independently extracting data.

• Solid understanding of probability theory and linear, logistic, and multinomial regression.

• Ability to create custom models using contemporary machine learning ensembling techniques and software.

• Capability to build custom solutions directly in R and Python.

• Experience in developing customer and/or store segmentation models.

• A forecasting background with the ability to build custom ARIMAX models is strongly preferred.

• Experience with Marketing Mix and Multi-Touch Attribution is strongly preferred.

• Causal analysis experience is highly desirable.

• Foundational knowledge of attitudinal research and segmentation approaches.

• Experience in developing behavioral models that predict attitudinal segments is ideal.

• Comfortable utilizing generative AI to write code, conduct research, summarize methodologies, and prepare client-facing presentations.

• Strong communication and storytelling capabilities.

• Comfortable presenting to executive-level clients.

• Possess consultative selling skills.

• Excellent active listening and documentation skills.

• Ability to lead projects and supervise junior analysts.

• Strong relationship-building skills with Marketing Technologies/IT and Account Management.

• Ability to independently develop solutions with minimal supervision.

• Familiarity with modern cloud database solutions such as Snowflake, AWS, Databricks, or Microsoft Fabric.

• Experience with Azure DevOps, Git, or similar version control systems.

• Basic data engineering skills and capacity to collaborate with data engineers on production processes.

• Experience with Google Analytics and BigQuery.

• Knowledge of integrating customer engagement data into analytics and modeling projects.

• Familiarity with BI solutions such as Tableau, Power BI, or SiSense.

• Must pass a pre-employment background check and drug screening.

🏝️ Benefits

• Medical, dental, and vision insurance.

• Paid time off.

• Disability insurance.

• 401(k) plan with company matching.

• Life insurance.

• Options for voluntary supplemental insurance coverages.

• Parental leave.

• Adoption assistance.

• Tuition assistance.

• Discounts from employers and partners.

• Potential participation in bonus, commission, or incentive programs in addition to base salary.

• Opportunity for remote work.