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Data Analyst

Job in Glendale, Los Angeles County, California, 91222, USA
Listing for: Mainz Brady Group
Full Time position
Listed on 2026-05-15
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Mining
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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, Num Py, 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
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