Marketing Data Analyst, Growth Ops Audience Job at Apple in Culver City

This role involves serving as a critical bridge between data analytics and business operations. The position requires translating business requirements into actionable audience targeting strategies while identifying patterns to develop repeatable targeting templates. Key responsibilities include building and maintaining data pipelines, creating reports and dashboards for stakeholders, and ensuring data integrity through processing, cleansing and validation efforts. The ideal candidate will communicate effectively with business stakeholders, identify operational trends to develop technical solutions and maintain comprehensive documentation of targeting procedures and processes. This position combines strategic thinking with hands‑on data management to drive operational efficiency and informed decision‑making. B.S. / M.S. in relevant or quantitative discipline: Computer Science, Data Science, Applied Mathematics and/or Statistics 5 years of experience working as a decision / data scientist / analyst, data engineer or software engineer High proficiency with databases and data retrieval including Trino, SQL, Snowflake, Spark and REST APIs Experience working with R, Python, SAS or other statistical programming languages Capable of producing high‑quality deliverables within tight deadlines A passion for data and technology Experience building operational dashboards and automated reporting preferably in Tableau and/or Streamlit Hands‑on experience with at least 2 of the following statistical models / techniques: recommendation systems, neural networks, deep learning, optimization and simulation, churn models, logistic regression, linear regression, forecasting, A/B testing, clustering and segmentation or others Strong communicator with both upstream and downstream stakeholders Ability to adapt to changes, self‑driven and multitasking in a very fast‑paced environment are key success factors for the right candidate Required Experience IC Key Skills Data Analytics, Microsoft Access, SQL, Power BI, R, Data Visualization, Tableau, Data Management, Data Mining, SAS, Data Analysis Skills, Analytics Employment Type: Full-Time Department / Functional Area: Marketing Vacancy: 1 #J-18808-Ljbffr