Lead Data Analyst

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

📋 Description

• Act as a strategic consultant, directing measurement strategies and transforming data into innovative frameworks for successful cross-channel outcomes.

• Collaborate closely with clients to design, execute, and enhance marketing and data analytics initiatives.

• Lead efforts that involve integrating multi-channel data, developing insights frameworks, and converting analytics into business results.

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

• Convert intricate customer behavior data into scalable frameworks for innovative cross-channel marketing.

• Spearhead cross-functional analytics projects and enterprise-wide insights initiatives.

• Represent analytics expertise in the creation of insights, client consultations, strategic planning, and solution development.

• Provide thought leadership and mentor colleagues in advanced analytics methodologies.

• Design and supervise marketing science projects, including testing frameworks, predictive modeling, and audience performance assessment.

• Create tailored customer and/or store segmentation models, forecasting models, and analytical solutions.

• Present insights and solutions to high-level executive clients.

• Manage projects and supervise the work of junior analysts.

⛳️ Requirements

• Bachelor's Degree in a quantitative discipline (Minimum).

• At least 9 years of experience in Advanced Marketing or Product Analytics roles.

• Preferred business vertical experience in Retail, Financial Services, Automotive, or CPG.

• Proficient in Python and/or R.

• Strong SQL skills; capable of interpreting data models, crafting efficient queries, and independently extracting data for analytical projects with minimal assistance.

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

• Ability to create custom models using contemporary machine learning ensembling techniques and software, and to build tailored solutions directly in R and Python.

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

• Excellent communication and storytelling abilities.

• Comfortable presenting to executive-level clients.

• Skills in consultative selling.

• Strong active listening and documentation capabilities.

• Ability to lead projects and supervise junior analysts.

• Capacity to build relationships with Marketing Technologies/IT and Account Management.

• Ability to independently create solutions with little supervision.

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

• Background in Azure DevOps, Git, or similar version control systems.

• Basic data engineering skills and ability to work collaboratively with data engineers on production processes.

• Experience with Google Analytics and BigQuery.

• Knowledge of Business Intelligence tools such as Tableau, Power BI, or SiSense.

• Preferred experience with ARIMAX models, Marketing Mix, and Multi-Touch Attribution.

• Desirable experience in causal analysis.

• Foundational understanding of attitudinal research and segmentation methodologies.

• Comfortable using generative AI for code development, research conducting, methodology summarization, and creating client-facing presentations.

• Preferred experience with PySpark, Snowpark, and Pandas.

• Understanding of graph databases and NoSQL, with experience in semi-structured and unstructured data strongly desired.

🏝️ Benefits

• Medical, dental, and vision insurance.

• Paid time off.

• Disability coverage.

• 401(k) plan with company match.

• Life insurance.

• Optional supplemental insurance plans.

• Parental leave.

• Adoption assistance.

• Tuition reimbursement.

• Discounts for employees/partners.

• Potential eligibility for bonuses, commissions, or incentive programs.