Position: Senior Data Analyst
Location: San Francisco, New York, Seattle, or Little Rock/ Remote
Time zone: PST
· 10+ years experience with SQL, Python
· Experience with marketing measurement analysis
· Experience with data driven dashboards and BI
· Ad Tech industry experience required; familiarity with the TV industry is a plus.
· 9+ 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.
· Strong verbal and written communication skills, with experience in client-facing environments.
· 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.
· Ad Tech industry experience required; familiarity with the TV industry is a plus.
· 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.
You will:
The Senior Data Analyst will work on reporting and analytics initiatives for client customers. This role will work in close collaboration with Customer Success, Product and Engineering teams. The analyst will be responsible for generating insights from Clean Room technologies, powered by Live Ramp’s Clean Room as well as emerging industry solutions such as Amazon Marketing Cloud, Google Ads Data Hub, and more. The role will primarily focus on developing visualizations, dashboards and reports that enable our customers to better understand their data and make data driven decisions.
· Lead measurement initiatives; develop KPIs and learning plans for 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.
· Speak and present both internally and externally, leveraging data to tell a story and effectively communicating complex analytical concepts to business and technical audiences.
Your team will:
· Work closely with product and engineering teams to support and understand suite of measurement products and their respective methodologies.
· Dive deep with internal and external clients to understand their measurement and analytical needs and translate them into product improvements.
· Help design new offerings in the analytical space.
· Design and develop insightful dashboards using a variety of data visualization
