Expert Data Analyst

LiveRamp-posted about 1 year ago

$110,000 - $160,000/Yr

Full-time • Mid Level

Remote • New York, NY

Professional, Scientific, and Technical Services

Resume

Match Score

Upload and Match ResumeTrack Jobs with Teal

The Expert Data Analyst at LiveRamp will focus on measurement and analytics initiatives for customers, collaborating closely with Customer Success, Product, and Engineering teams. This role is pivotal in generating insights from Clean Room technologies and other emerging industry solutions, enabling customers to understand their data better and make data-driven decisions.

Lead measurement initiatives; develop KPIs and learning plans for LiveRamp/Habu customers in support of their marketing objectives.
Develop, implement, and maintain analytics systems, tools, and frameworks that enable efficient analysis for customers.
Develop and implement methodologies to measure causality or causal impact.
Design approaches for observational analytics, including mining multi-dimensional datasets, and experimental methods to build templates and libraries of analysis that can scale across various 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.

Proven experience in data analysis and measurement methodologies.
Strong knowledge of Clean Room technologies and analytics tools such as Habu, Amazon Marketing Cloud, and Google Ads Data Hub.
Experience in developing KPIs and learning plans for marketing objectives.
Ability to design and implement analytics systems and frameworks.
Strong skills in observational analytics and experimental methods.
Proficiency in data visualization and storytelling with data.

Experience in working with multi-dimensional datasets.
Familiarity with customer relationship management and stakeholder engagement.

Work with talented, collaborative, and friendly people.
Enjoy catered meals, boundless snacks, and occasional food trucks.
Participate in in-person and virtual events such as game nights and happy hours.
Flexible paid time off and remote work opportunities.
Comprehensive health package including medical, dental, vision, and disability insurance.
Mental health support via Talkspace and fitness reimbursement.
401K matching plan to help plan for the future.
Support for setting up a home office.

Track Jobs with Teal

Job Search Resources

•

AI Resume Builder

•

Experienced Data Analyst Resume Examples

•

Experienced Data Analyst Cover Letter Examples

Expert Data Analyst

Job Search Resources

Tools

Career Hubs

Guides

Company