Information Technology - Data Management and Operations Analyst
Creative Artists AgencyAbout the role
Job Description
Who We Are
Creative Artists Agency (CAA) is the leading entertainment and sports agency, with global expertise in filmed and live entertainment, digital media, publishing, sponsorship sales and endorsements, media finance, consumer investing, fashion, trademark licensing, and philanthropy. Distinguished by its culture of collaboration and exceptional client service, CAA’s diverse workforce identifies, innovates, and amplifies opportunities for the people and organizations that shape culture and inspire the world. The trailblazer of the agency business, CAA was the first to build a sports business, create an investment bank, launch a venture fund, found technology start-up companies, establish a philanthropic arm, build a business in China, and form a brand marketing services division, among other innovations. Named Most Valuable Sports Agency by Forbes for eight consecutive years, CAA represents more than 2,000 of the world’s top athletes in football, baseball, basketball, hockey, soccer, in addition to coaches, on-air broadcasters, and sports personalities and works in the areas of broadcast rights, corporate marketing initiatives, social impact, and sports properties for sales and sponsorship opportunities. Founded in 1975, CAA is headquartered in Los Angeles, and has offices in New York, Nashville, Memphis, Chicago, Miami, London, Munich, Geneva, Stockholm, Shanghai, and Beijing, among other locations globally.
The Role
Passionate about entertainment, brands, music, sports, and analytics? Have a natural aptitude toward storytelling through data? Join our growing data team as we provide advanced data solutions and strategic analysis to enhance the creation of opportunity for world-class clients across Film, TV, Music, Sports, Digital Media, and beyond.
CAA has an immediate opening for a highly skilled and detail-oriented Data Management and Operations Analyst to join our dynamic Data team. In this pivotal role, you will be at the heart of our data-driven initiatives, supporting the execution and improvement of cutting-edge data strategies, operations, and processes. You’ll be actively involved in driving data product testing, contributing to exciting data projects, and ensuring the accuracy and efficiency of our data operations.
We’re looking for a candidate with a passion for data who is eager to dive in, learn, and grow within a collaborative and innovative environment. This position offers an unparalleled opportunity to develop foundational skills across multiple data verticals, gain a comprehensive understanding of the end-to-end data business, and make a tangible impact on strategic projects that align with CAA’s lofty goals. If you’re ready to advance your career in a fast-paced and rewarding environment, we want to hear from you!
Responsibilities:
Data Product Testing:
Partner with data colleagues to develop and execute test cases for our award winning suite of sophisticated data products.
Identify and document any data issues or inconsistencies.
Partner with data team leadership to understand and make recommendations that improve data quality and associated processes
Evaluate and implement testing automation strategies and tools
Collaborate and communicate with senior team members across different groups to integrate testing processes.
Contribute to Strategic Data Projects:
-Partners with team on planning, execution, and presentation of key data initiatives to colleagues across teams and to senor leadership
Gather and and analyze data requirements for projects.
Collaborate with senior team members to align data activities with business goals.
Break down business requests into user stories for Data Science, Analytics, and Engineering development
Collaborate with Cross-Functional Teams:
Work closely with data engineers, data scientists, data analysts, product managers, and other stakeholders to understand requirements and ensure comprehensive test coverage.
Participate in agile development activities such as sprint planning, daily stand-ups, and retrospectives.
Assist in Data Management Process Improvement:
Analyze current data management practices and make recommendations to improve them
Be highly collaborative across teams to contribute ideas to help streamline, document, and enhance data processes.
Data Management Operations:
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