Experience:12+ years
Role: Senior Data Analyst- Adtech experience / TV exp Duration: 6 Months to long term Location: Remote (working hours PST time zone-USA) We need candidates who have a good balance of Adtec/ TV experience + data modeling techniques-+SQL, Python, Excel, and statistical methods+ developing visualizations, dashboards and reports
Senior Data Analyst 10+ years experience with SQL, Python Solid understanding of data modeling techniques, with the ability to explain complex concepts to different audiences.
Strong experience in AdTech industry experience required Strong experience with the TV industry .
Ability to independently prepare analysis using SQL, Python, Excel, and statistical methods.
10+ years of experience in analytics or data science, with expertise in measurement and attribution.
Experience with marketing measurement analysis
Experience with data driven dashboards and BI
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.
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 LiveRamp 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 efcient 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, efciency, and productivity.
Design and create rich, compelling visualizations with data
Work directly with customer stakeholders to gather requirements, communicate updates and ndings, 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.
Design and develop insightful dashboards using a variety of data visualization tools to inform decision-making for both internal and external stakeholders.