Marketing Data Analyst, Growth Ops Audience

Apple-posted 2 months ago
$146,300 - $244,100/Yr
Full-time • Mid Level
Cupertino, CA
Computer and Electronic Product Manufacturing
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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!

  • Serve as a critical bridge between data analytics and business operations.
  • Translate business requirements into actionable audience targeting strategies.
  • Identify patterns to develop repeatable targeting templates.
  • Build and maintain data pipelines.
  • Create reports and dashboards for stakeholders.
  • Ensure data integrity through processing, cleansing, and validation efforts.
  • Communicate effectively with business stakeholders.
  • Identify operational trends to develop technical solutions.
  • Maintain comprehensive documentation of targeting procedures and processes.
  • 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 very fast paced environment.
  • Comprehensive medical and dental coverage.
  • Retirement benefits.
  • A range of discounted products and free services.
  • Reimbursement for certain educational expenses — including tuition.
  • Opportunity to participate in Apple's discretionary employee stock programs.
  • Discretionary bonuses or commission payments as well as relocation.
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