US_East | Data Analyst_L2

Work Location: United States of America (remote)
Start date: Immediate availability
Background check mandatory

About the role

The Senior Data Analyst will work on reporting and analytics initiatives for company customers. This role will collaborate closely with Customer Success, Product, and Engineering teams to develop visualizations, dashboards, and reports that enable customers to better understand their data and make data-driven decisions.

Responsibilities

• Lead measurement initiatives; develop KPIs and learning plans for company customers in support of their marketing objectives
• Develop, implement, and maintain analytics systems, tools, and frameworks that enable efficient analysis for customers
• Design approaches for observational analytics – including mining multi-dimensional datasets – and experimental methods to build templates and libraries of analysis that can scale across many different customer use cases and verticals
• Get hands-on with customer data to drive insights, answer key business questions, and enable campaign optimization
• Identify and communicate areas to improve effectiveness, efficiency, and productivity
• Design and create rich, compelling visualizations with data
• Work directly with customer stakeholders to gather requirements, communicate updates and findings, and build relationships
• Strong understanding of large-scale data analysis, fine-tuning of Spark jobs, and optimizing Spark SQL/PySpark models

Requirements

• 5+ years of experience in analytics or data science, with expertise in measurement and attribution
• Bachelor’s degree in Statistics, Economics, Engineering, Computer Science, or another quantitative field
• AdTech industry experience required; familiarity with the TV industry is a plus
• Proven track record of creating and presenting data-driven dashboards and presentations, effectively telling a story through insights, with hands-on experience in Metabase, Tableau, and Looker
• Solid understanding of data modeling techniques, with the ability to explain complex concepts to different audiences
• Ability to independently prepare analysis using SQL, Python, Excel, and statistical methods
• Detail-oriented with strong time management skills, delivering high-quality, client-ready analytical reports across multiple projects
• Comfortable presenting complex analyses to large, non-technical audiences, while also being able to adapt to effectively communicate with technical audiences
• Excellent communication skills – the ability to work cross-functionally, with internal and external stakeholders, to translate product requests into features and analysis into business objectives
• Interest, willingness, and demonstrated ability to quickly pick up new technology
• A self-starter who brings energy, passion, and creativity to work every day