Mainz Brady Group

Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst (Product Data Analyst - Ad Platforms) with a contract length of "unknown" and a pay rate of "unknown." Key skills include SQL, Python, and BI tools. Experience in product analytics and advertising data is preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
May 6, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Glendale, CA
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🧠 - Skills detailed
#Looker #Visualization #Microsoft Power BI #Data Engineering #Data Quality #Jupyter #NumPy #Python #Datasets #BI (Business Intelligence) #SQL (Structured Query Language) #Data Analysis #Data Modeling #Tableau #Trend Analysis #Databricks #A/B Testing #Pandas
Role description
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 β€’ Partner with Product Managers, Designers, and Engineers to define metrics and measurement strategies β€’ Analyze product and platform data to identify trends, patterns, and opportunities β€’ Support A/B testing and experimentation, including analysis and interpretation of results β€’ Build dashboards, reports, and visualizations to communicate insights clearly β€’ Perform analyses such as cohort, funnel, segmentation, and trend analysis β€’ Translate business questions into structured data analyses and actionable insights β€’ Collaborate with data engineering teams to understand data structures and ensure data quality β€’ Support analysis of advertising platform performance and user behavior Technical Skills & Qualifications (Must-Haves) β€’ Strong proficiency in SQL for querying large datasets β€’ Experience with Python for data analysis (pandas, NumPy, etc.) β€’ Experience with BI/visualization tools (Tableau, Power BI, Looker, etc.) β€’ Familiarity with notebook environments (Jupyter, Databricks) β€’ Understanding of data modeling concepts and analytics workflows β€’ Experience or interest in product analytics and experimentation (A/B testing) β€’ Strong analytical thinking and ability to communicate insights to both technical and non-technical audiences Nice-to-Haves β€’ Experience working with advertising or platform data β€’ Exposure to experimentation frameworks and test design