Data Analyst & Insights Specialist (Data Analytics Media Tech)

Role overview Analyze large datasets about how audiences watch and engage with entertainment across streaming and other media. You’ll turn open-ended questions into structured analyses, check the quality of results, and explain findings to client and internal teams.

Responsibilities - Use SQL and Python to explore audience behavior and uncover patterns. - Translate loosely defined questions into practical analytical approaches. - Investigate unexpected results and support data quality improvements. - Prepare clear summaries and visualizations, and present findings to stakeholders. - Respond to analytical questions and collaborate across teams to improve research and products.

Requirements - 1–2 years of experience in a data analyst role. - Practical Python skills for data transformation, modeling, and analysis. - Strong SQL skills for querying and combining large datasets. - Understanding of statistics, data interpretation, and analytical problem solving. - Careful approach to data integrity and clear written and verbal communication.

Nice to have - Familiarity with television, film, streaming, audience measurement, surveys, or panel data. - Experience with business intelligence or visualization tools such as Looker, Tableau, or Power BI.

Benefits and work setup Compensation is based on experience and role scope. The listing describes a collaborative, innovation-focused environment working on media measurement.