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Data Science Analyst

Minneapolis, Minnesota, US
Closing date
Jan 15, 2022

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Consultancy/Private Sector
Conservation science
Salary Type
Employment Type
Full time
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We're idealists. Inventors. Forever tinkering with products and processes, always on the lookout for better. Whether you work at our global offices, offsite, or even at home, a job at Apple will be demanding. But it also rewards forward-thinking, creative thinking and hard work. And none of us here would have it any other way. Does an exciting, dynamic, fast paced and pressure-filled environment catch your attention? Do you like puzzles and determining solutions that are not obvious? Terrific! Consider joining us. We are looking for experienced individual who will focus on exploratory analysis and development of innovative components to grow engagement of users, specifically in the areas of feature usage behavior and conversion optimization. If this is you we are interested!

Key Qualifications

  • Business understanding. Experience with growth or product analytics is a plus.
  • Ability to structure and solve problems
  • Strength working with SQL, R or Python
  • Communication skills to package findings
  • Work well within multi-functional teams
  • Bachelors or Masters in the fields of Statistics, Commerce, Business Analytics, Applied Mathematics, Engineering
  • We seek 5 years of demonstrated ability, preferably in a consumer tech company or a subscription business.


Work on initiatives to drive growth. Partner closely with Analytics, Data engineering and Instrumentation teams. Work falls broadly into 3 areas: Foundational: Work with engineering to identify data needs for new initiatives and make sure the data pipeline is built. Partner with instrumentation team to ensure tracking is in place before launches Reporting and Measurement: Identify, measure and communicate critical metrics for overall business and key initiatives. Build and maintain regular reports and provide ad-hoc analysis to support business needs Business Advisory: Identify key takeaways from data and distill findings into recommendations for business owners

Education & Experience

Minimum of Masters degree in the fields of Information Science or Quantitative Disciplines - Statistics, Predictive Analytics, or Applied Mathematics.

Additional Requirements
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