Data Pipeline Engineer, Apple Ads Sales Ops
Apple
Data Pipeline Engineer, Apple Ads Sales Ops
Job Description
At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertising is done right, it benefits everyone. We are looking for an experienced Data Pipeline Engineer to support our growing advertising business. In this role, you will work within our Apple Ads Sales Operations team to support and empower the sales analytics organization by leveraging your business knowledge and context to build data pipelines powering internal reporting and tools. A successful candidate will have deep experience in building data pipelines to support analytics and reporting across a globally distributed sales team. The role requires both a broad knowledge of existing analytical techniques and strong business insight. You’ll be working on projects where tools and methods are used to drive real-world business value, using creativity to invent and customize when necessary.
Locations
- New York City, New York, United States 10022
Salary
Skills Required
- building data pipelinesintermediate
- support analytics and reportingintermediate
- business knowledgeintermediate
- business insightintermediate
- analytical techniquesintermediate
- creativityintermediate
Required Qualifications
- 4+ years of relevant industry experience using analytics to solve business problems (experience, 4 years)
- Fluency with SQL for coding and database querying (experience)
- Experience with DBT (experience)
- BS in data science, statistics, economics, computer science or other quantitative field (experience)
Preferred Qualifications
- Advanced education degree in data science, statistics, economics, computer science or other quantitative field (degree in data science)
- Experience in Ad Tech or digital advertising (experience)
- Strong track record of building data pipelines (experience)
- Ability to understand and contextualize the needs of key business stakeholders and translate those requirements into scalable data models that support analytics and reporting (experience)
- Exceptional written and verbal communication skills (experience)
Responsibilities
- A successful candidate will have deep experience in building data pipelines to support analytics and reporting across a globally distributed sales team. The role requires both a broad knowledge of existing analytical techniques and strong business insight. You’ll be working on projects where tools and methods are used to drive real-world business value, using creativity to invent and customize when necessary.
- Use modern tools and technologies to build reliable and performant pipelines for reporting and analytics
- Automate and optimize existing analytic workloads by recognizing patterns of data and technology usage - driving the generation of insights from complex data in support of our global sales organization
- Collaborate closely with business stakeholders to understand their priorities, support the rollout of sales strategies, and build foundational data sets that directly support strategic decision-making
- Partner cross-functionally within Apple Ads to ensure proper data quality, availability and governance.
- Build and enhance internal business intelligence, data visualization and reporting capabilities.
- Support the rollout of sales strategies by building foundational data sets and analyses, incorporating a focus on measuring outcomes and success.
- Must be able to work in a rapidly changing and dynamic environment
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Answer 10 quick questions to check your fit for Data Pipeline Engineer, Apple Ads Sales Ops @ Apple.
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Data Pipeline Engineer, Apple Ads Sales Ops
Apple
Data Pipeline Engineer, Apple Ads Sales Ops
Job Description
At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertising is done right, it benefits everyone. We are looking for an experienced Data Pipeline Engineer to support our growing advertising business. In this role, you will work within our Apple Ads Sales Operations team to support and empower the sales analytics organization by leveraging your business knowledge and context to build data pipelines powering internal reporting and tools. A successful candidate will have deep experience in building data pipelines to support analytics and reporting across a globally distributed sales team. The role requires both a broad knowledge of existing analytical techniques and strong business insight. You’ll be working on projects where tools and methods are used to drive real-world business value, using creativity to invent and customize when necessary.
Locations
- New York City, New York, United States 10022
Salary
Skills Required
- building data pipelinesintermediate
- support analytics and reportingintermediate
- business knowledgeintermediate
- business insightintermediate
- analytical techniquesintermediate
- creativityintermediate
Required Qualifications
- 4+ years of relevant industry experience using analytics to solve business problems (experience, 4 years)
- Fluency with SQL for coding and database querying (experience)
- Experience with DBT (experience)
- BS in data science, statistics, economics, computer science or other quantitative field (experience)
Preferred Qualifications
- Advanced education degree in data science, statistics, economics, computer science or other quantitative field (degree in data science)
- Experience in Ad Tech or digital advertising (experience)
- Strong track record of building data pipelines (experience)
- Ability to understand and contextualize the needs of key business stakeholders and translate those requirements into scalable data models that support analytics and reporting (experience)
- Exceptional written and verbal communication skills (experience)
Responsibilities
- A successful candidate will have deep experience in building data pipelines to support analytics and reporting across a globally distributed sales team. The role requires both a broad knowledge of existing analytical techniques and strong business insight. You’ll be working on projects where tools and methods are used to drive real-world business value, using creativity to invent and customize when necessary.
- Use modern tools and technologies to build reliable and performant pipelines for reporting and analytics
- Automate and optimize existing analytic workloads by recognizing patterns of data and technology usage - driving the generation of insights from complex data in support of our global sales organization
- Collaborate closely with business stakeholders to understand their priorities, support the rollout of sales strategies, and build foundational data sets that directly support strategic decision-making
- Partner cross-functionally within Apple Ads to ensure proper data quality, availability and governance.
- Build and enhance internal business intelligence, data visualization and reporting capabilities.
- Support the rollout of sales strategies by building foundational data sets and analyses, incorporating a focus on measuring outcomes and success.
- Must be able to work in a rapidly changing and dynamic environment
Tags & Categories
Answer 10 quick questions to check your fit for Data Pipeline Engineer, Apple Ads Sales Ops @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs