What are the responsibilities and job description for the Data Analyst position at Mainz Brady Group?
Product Data Analyst (Ad Platforms)
Summary
We’re looking for a Product Data Analyst to support a high-impact Ad Platforms team, helping drive data-informed decisions across product, design, and engineering. In this role, you’ll analyze product performance, support experimentation, and deliver insights that shape best-in-class advertising products.
This is a great opportunity for someone who enjoys working with complex datasets, is naturally curious, and wants to grow their skillset in product analytics and experimentation within a highly collaborative environment.
Day-to-Day Responsibilities
- Partner with Product Managers, Designers, and Engineers to define metrics and measurement strategies
- Analyze product and platform data to identify trends, patterns, and opportunities
- Support A/B testing and experimentation, including analysis and interpretation of results
- Build dashboards, reports, and visualizations to communicate insights clearly
- Perform analyses such as cohort, funnel, segmentation, and trend analysis
- Translate business questions into structured data analyses and actionable insights
- Collaborate with data engineering teams to understand data structures and ensure data quality
- Support analysis of advertising platform performance and user behavior
Technical Skills & Qualifications (Must-Haves)
- Strong proficiency in SQL for querying large datasets
- Experience with Python for data analysis (pandas, NumPy, etc.)
- Experience with BI/visualization tools (Tableau, Power BI, Looker, etc.)
- Familiarity with notebook environments (Jupyter, Databricks)
- Understanding of data modeling concepts and analytics workflows
- Experience or interest in product analytics and experimentation (A/B testing)
- Strong analytical thinking and ability to communicate insights to both technical and non-technical audiences
Nice-to-Haves
- Experience working with advertising or platform data
- Exposure to experimentation frameworks and test design