Marketing Data Analyst, Growth Ops Audience
Apple
Marketing Data Analyst, Growth Ops Audience
Job 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! 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.
Locations
- Culver City, California, United States 90232
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,500,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- SQL queriesintermediate
- customer segmentationintermediate
- developing targeting cohortsintermediate
- lifecycle marketingintermediate
- building and maintaining data pipelinesintermediate
- creating reports and dashboardsintermediate
- data processingintermediate
- data cleansingintermediate
- data validationintermediate
- ensuring data integrityintermediate
- translating business requirementsintermediate
- audience targeting strategiesintermediate
- identifying patternsintermediate
- developing repeatable targeting templatesintermediate
- strategic thinkingintermediate
- data managementintermediate
- communicating effectivelyintermediate
- identifying operational trendsintermediate
- developing technical solutionsintermediate
- maintaining comprehensive documentationintermediate
Required Qualifications
- B.S. / M.S. in relevant or quantitative discipline: Computer Science, Data Science, Applied Mathematics, and/or Statistics (experience)
- 5+ years of experience working as a decision/data scientist/analyst, data engineer, or software engineer (experience, 5 years)
- High proficiency with databases and data retrieval, including Trino SQL, Snowflake, Spark and REST APIs (experience)
- Experience working with R, Python, SAS, or other statistical programming languages (experience)
- Capable of producing high quality deliverables within tight deadlines (experience)
- A passion for data and technology (experience)
Preferred Qualifications
- Experience building operational dashboards and automated reporting, preferably in Tableau and/or Streamlit (experience)
- Experience working with R, Python, SAS, or other statistical programming languages (experience)
- 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 (experience)
- Strong communicator with both upstream and downstream stakeholders (experience)
- Ability to adapt to changes, self-driven and multitasking in very fast paced environment are key success factors for the right candidate (experience)
Responsibilities
- 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.
Tags & Categories
Answer 10 quick questions to check your fit for Marketing Data Analyst, Growth Ops Audience @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs
Marketing Data Analyst, Growth Ops Audience
Apple
Marketing Data Analyst, Growth Ops Audience
Job 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! 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.
Locations
- Culver City, California, United States 90232
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,500,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- SQL queriesintermediate
- customer segmentationintermediate
- developing targeting cohortsintermediate
- lifecycle marketingintermediate
- building and maintaining data pipelinesintermediate
- creating reports and dashboardsintermediate
- data processingintermediate
- data cleansingintermediate
- data validationintermediate
- ensuring data integrityintermediate
- translating business requirementsintermediate
- audience targeting strategiesintermediate
- identifying patternsintermediate
- developing repeatable targeting templatesintermediate
- strategic thinkingintermediate
- data managementintermediate
- communicating effectivelyintermediate
- identifying operational trendsintermediate
- developing technical solutionsintermediate
- maintaining comprehensive documentationintermediate
Required Qualifications
- B.S. / M.S. in relevant or quantitative discipline: Computer Science, Data Science, Applied Mathematics, and/or Statistics (experience)
- 5+ years of experience working as a decision/data scientist/analyst, data engineer, or software engineer (experience, 5 years)
- High proficiency with databases and data retrieval, including Trino SQL, Snowflake, Spark and REST APIs (experience)
- Experience working with R, Python, SAS, or other statistical programming languages (experience)
- Capable of producing high quality deliverables within tight deadlines (experience)
- A passion for data and technology (experience)
Preferred Qualifications
- Experience building operational dashboards and automated reporting, preferably in Tableau and/or Streamlit (experience)
- Experience working with R, Python, SAS, or other statistical programming languages (experience)
- 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 (experience)
- Strong communicator with both upstream and downstream stakeholders (experience)
- Ability to adapt to changes, self-driven and multitasking in very fast paced environment are key success factors for the right candidate (experience)
Responsibilities
- 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.
Tags & Categories
Answer 10 quick questions to check your fit for Marketing Data Analyst, Growth Ops Audience @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs