About the team The Core Analytics Team is a centralised function to provide data-driven insights to business and products. We collaborate closely with our Product and Engineering teams to deliver the best search experiences to our customers and maximise the value proposition for the business. About the role Roku is looking for a Data Analyst/Scientist to join the Core Analytics team supporting our Search product. This individual will be responsible for understanding how users leverage our search product to manage their Roku experience and work closely with product management and engineering to identify opportunities to create new features, drive their adoption, and generate value for Roku. This individual will investigate and develop solutions to track, monitor, and improve our search ecosystem. The successful candidate is quantitatively driven, detail-focused, and possesses an elevated level of problem-solving expertise. This role can be based in Manchester, or Cambridge and requires you to be in the office three days a week. What you'll be doing Define and monitor KPIs that guide the growth of Roku’s Search product. Analyse structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions Develop necessary data pipelines to power automation, validation and reporting Collaborate with stakeholders to align data science initiatives with organisational goals and strategy design and execute AB tests Develop analytical tools (real-time alerts, models, etc.) to understand what drives success for our search platform Perform exploratory data analysis on emerging trends and execute advanced analysis across the entire search and Roku Platform Collaborate with the Program Management and Engineering team to proactively seek and incorporate feedback Providing feedback directly to search leadership on performance of various initiatives and untapped opportunities We're excited if you have Extensive work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science) Experience across search, consumer product, digital media or entertainment industries Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis Hands on experience with visualization tools like Tableau or Looker Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment Hands on experience in A/B testing and statistical modeling/forecasting LI-PA1