Develop a deep understanding of the data platform, technology stack, and ETL processes to ensure accurate analysis and reporting
Utilize statistical techniques to validate findings and draw meaningful conclusions
Communicate complex data concepts effectively to both technical and non-technical audiences
Partner with stakeholders to identify opportunities, support strategic decisions, and drive growth through predictive modeling and analysis
Manage projects end-to-end, write efficient queries, and optimize performance through A/B testing and solution design
Contribute data-driven insights in experiments and help build a culture of innovation, collaboration, and continuous improvement
Establish and mentor a team of product analysts
Skills and attributes for success
Demonstrate expertise in predictive analysis, with a strong command of R, SQL, Python, Pyspark
Familiarity with working with big data platforms and tools (e.g., Hadoop, Spark, Hive) is preferred
Experience in dashboard building and data visualization using tools like Tableau, Power BI, or similar platforms is a strong plus
Possess advanced technical skills and the ability to collect, organize, and disseminate information accurately
Familiar with digital analytics and clickstream data
Strong communicator with the ability to present complex insights clearly to both technical and non-technical audiences
A passion for the entertainment industry and a strong understanding of online video streaming platforms (a plus)
Experience in Adtech and OTT platforms is preferred
Preferred education and experience: Bachelor's or Master's degree in Engineering, Mathematics, Operational Research, Statistics, Physics, or a related technical discipline, with 7-10 years of experience in Business/Product Analytics, preferably from consumer technology companies
