Marketing Data Analyst, Growth Ops Audience at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

15 Jan, 26

Salary

0.0

Posted On

17 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Analysis, Data Management, Data Pipelines, Reporting, Dashboard Creation, Statistical Programming, Data Integrity, Audience Targeting, Operational Efficiency, Communication, Data Cleansing, Technical Solutions, Documentation, Statistical Models, Multitasking

Industry

Computers and Electronics Manufacturing

Description

At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. If you are an ambitious, high-energy individual who is not afraid of challenges, we’re looking for you. The Growth Marketing Operations Team plays a key role in enabling on-device communications and automated messaging for Apple’s media products and services. The team focuses on the timely delivery, strategy, and execution of in-app messaging sent to millions of users across multiple Apple services, including: Apple TV+, Music, Arcade, App Store, and Apple Wallet. We're looking for a Marketing Data Analyst that will support our Growth Marketing Ops initiatives and work at the intersection of marketing, operations, and technology. The team is looking for an expert at automating targeting deliverables currently using SQL queries, for the purposes of customer segmentation, developing targeting cohorts, and lifecycle marketing. You will create meaningful business tools and dashboards that drive business decisions across the Growth Marketing organization. You will also partner closely with global cross-functional teams to help drive operational efficiency for the Growth Marketing Ops Team. Come join a fast-paced and innovative marketing team that focuses on delivering results! DESCRIPTION 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. MINIMUM QUALIFICATIONS 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 PREFERRED QUALIFICATIONS Experience building operational dashboards and automated reporting, preferably in Tableau and/or Streamlit Experience working with R, Python, SAS, or other statistical programming languages 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 very fast paced environment are key success factors for the right candidate

Responsibilities

The role involves building and maintaining data pipelines, creating reports and dashboards for stakeholders, and ensuring data integrity. The analyst will serve as a bridge between data analytics and business operations, translating business requirements into actionable strategies.