Data Pipeline Engineer, Apple Ads Sales Ops

New York, NY, US • Posted 21 hours ago • Updated 8 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

  • FOCUS
  • Customer Experience
  • MLS
  • PASS
  • Privacy
  • Extract
  • Transform
  • Load
  • Advertising
  • ADS
  • Sales Operations
  • Sales
  • Analytical Skill
  • SQL
  • Database
  • Data Science
  • Statistics
  • Economics
  • Computer Science
  • Digital Marketing
  • Analytics
  • Reporting
  • Communication

Summary

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.\\n\\n\\nOur 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.\\n\\n\\nWe 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.\\n

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.

4+ years of relevant industry experience using analytics to solve business problems\nFluency with SQL for coding and database querying\nExperience with DBT \nBS in data science, statistics, economics, computer science or other quantitative field

Advanced education degree in data science, statistics, economics, computer science or other quantitative field\nExperience in Ad Tech or digital advertising\nStrong track record of building data pipelines\nAbility to understand and contextualize the needs of key business stakeholders and translate those requirements into scalable data models that support analytics and reporting\nExceptional written and verbal communication skills
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: f4fa89fd2ca4c51d57663492cd750b12
  • Posted 21 hours ago
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