Associate Director, Marketing Data & Analytics

Hudson Rouge • Detroit, MI

14h • $75,000 - $180,000 • Hybrid

About The Position

We are seeking a hands-on data scientist to join our Marketing Analytics team. This person will play a dual role: doing the advanced analytical work that powers our team’s strategic output, and helping build the data science infrastructure our team needs to grow. On the analytics side, you will support senior team leads by developing ad hoc models, custom data visualizations, and the technical analyses that feed into client-facing presentations. On the infrastructure side, you will help create and maintain a centralized code repository, work toward standardizing how our team accesses data across multiple platforms, and develop repeatable frameworks that make the team more efficient. This is a role for someone who loves working in code, wants to help build something from the ground up, and is energized by bringing order to complex, fragmented data environments — all in service of a Fortune 100 automotive client.

Requirements

• Coding: Strong proficiency in Python and/or R, and fluency in SQL. You should be comfortable writing, debugging, and optimizing code daily.
• Database Environments: Hands-on experience working within Snowflake and/or Databricks. Comfortable querying, extracting, and manipulating data across cloud-based warehouse and lakehouse platforms.
• Version Control: Experience with Git and GitHub (or similar). You know how to structure a repository, manage branches, and write clear documentation.
• Data Visualization: Ability to create custom, presentation-quality visualizations using code (e.g., matplotlib, seaborn, Plotly, ggplot2) and/or tools like PowerBI or Tableau.
• Statistics: Solid foundation in statistics — exploratory data analysis, hypothesis testing, and ideally some experience with predictive modeling or machine learning techniques.
• Builder Mentality: You are excited by the idea of helping create systems, processes, and infrastructure where none currently exist. You take initiative and don’t wait to be told what to do next.
• Data Organization: Experience working with messy, fragmented data environments. You can help map disparate sources, identify gaps, and contribute to creating structure and standardization.
• Storytelling Support: While this is primarily a technical role, you should understand how your analytical outputs connect to a broader narrative and be able to collaborate with senior team members to shape deliverables.
• Technical Autonomy: Takes initiative to solve problems with minimal direction. Comfortable working independently to develop and deliver work.
• Ability to Learn: Willingness and ability to pick up new tools, technologies, and methods quickly.
• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, or related field
• 3–5 years of experience in data science, data analytics, or a technical analytics role
• Demonstrated proficiency writing production-quality code in Python, R, and/or SQL
• Experience with version control systems (Git/GitHub)
• Ability to work on-site in Detroit, MI or New York, NY

Nice To Haves

• Marketing Data: Familiarity with CRM, website analytics, and platforms like Adobe Analytics, Salesforce, PowerBI, etc. is a plus.
• Automotive or marketing analytics background is a plus

Responsibilities

• Advanced Analytics Execution: Develop ad hoc statistical models, custom analyses, and exploratory data work to support senior team members in building strategic recommendations and client deliverables.
• Data Visualization & Presentation Support: Create polished, custom data visualizations that go beyond standard dashboards — charts, graphics, and interactive outputs that help tell a compelling analytical story in client presentations.
• Code Repository & Knowledge Management: Help create and maintain a GitHub repository for the marketing analytics team. Document queries, methodologies, and reusable code so the team can build on shared knowledge rather than starting from scratch.
• Data Access & Standardization: Help organize how the team accesses data across disparate sources (Snowflake, Databricks, flat files, third-party platforms, etc.). Contribute to building standardized connection templates, data dictionaries, and repeatable processes that support centralized analysis.
• Reporting Automation: Transition manual, Excel-based reporting workflows into automated, code-driven processes using Python, R, and/or SQL.
• Data Quality: Identify data definition and quality issues within the warehouse environment and help resolve them through code, collaborating with engineering teams as needed.
• Exploratory Analysis: Conduct exploratory data analysis to answer business questions and generate actionable insights using Python or R.
• Measurement Support: Work with internal teams to help ensure tracking needs are met and support the definition of business logic for marketing campaign measurement.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level