Senior Data Analyst

Note – This  is a Product company, and they build a complex Market Analysis  platform for very large clients, mostly related to the market-media domain specialization  

Senior Data Analyst

Client  is the data collaboration platform of choice for the world’s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, client  is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust.

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 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.