Senior Data Analyst

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November 19

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MediaRadar, Inc.

WebsiteLinkedInAll Job Openings

Advertising • SaaS

MediaRadar, Inc. is an award-winning advertising intelligence platform designed to support media sales and advertising planning. With over 4 million brands and comprehensive contact information, MediaRadar is a go-to solution for media sellers and buyers, providing insights into advertising data across various formats. The platform is widely used in the media and ad tech industry for prospecting, media buying, planning, and sales enablement. MediaRadar leverages AI-powered solutions to deliver actionable advertising intelligence, helping users make informed decisions for better media mix and revenue growth.

201 - 500 employees

Founded 2007

☁️ SaaS

📋 Description

• Analyze large, diverse datasets to identify trends, patterns, and insights that inform business decisions. • Develop structured analytical logic, methodologies, and frameworks that can be scaled and reused across multiple initiatives. • Build, refine, and maintain datasets that support analysis, reporting, modeling, or automation. • Collaborate with product, engineering, operations, and data teams to validate findings and ensure strategic alignment. • Produce clear, insightful summaries, visualizations, and recommendations for both technical and non-technical audiences. • Contribute to best practices in data quality, standardization, documentation, and analytical rigor.

🎯 Requirements

• Proven experience as a Data Analyst or Senior Data Analyst working with complex, multi-source datasets. • Advanced proficiency in SQL and Python (or R) for data analysis and transformation. • Strong ability to identify patterns, relationships, and anomalies across large data environments. • Experience developing analytical frameworks, logic, or rules that support repeatable, scalable processes. • Excellent communication skills with the ability to translate technical findings into clear, actionable insights. • Experience in data quality, data management, analytics, or data operations is beneficial. • Familiarity with automation, metadata, or taxonomy work is a plus.