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Audible, Inc.

Working Student - Business Analytics

Berlin, Germany

At Audible, we believe stories have the power to transform lives. It's why we work with some of the world's leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.

ABOUT THIS ROLE
Our team works closely with stakeholders around the world. You will work with data and will have the opportunity to analyze customer behavior across different market places. When working on a specific analysis, you will have the opportunity to drive key business decisions with the help of marketing teams and other analysts.

As a Working Student Business Analytics, you will...

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- Extract data from Redshift databases for ad-hoc analysis using SQL
- Work with large data sets using various analysis tools (MS Excel/SQL/Python/Microstrategy/R/Tableau)
- Perform data validation, cross checks and plausibility checks
- Recognize patterns in the data and dig deep into anomalies
- Perform A/B testing on various marketing campaigns
- Analyze the performance of product experiments

ABOUT AUDIBLE
Audible is the leading producer and provider of audio storytelling. We spark listeners' imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. Our Hub+Home hybrid workplace model gives employees the flexibility between gathering in a common office space (work from hub) and remote work (work from home). For more information, please visit adbl.co/hybrid.

We are open to hiring candidates to work out of one of the following locations:

Berlin, BE, DEU

Basic Qualifications

- Experience in SQL / ETL, preferably with hands on experience from a business environment
- Experience in MS Excel - working knowledge of VLOOKUP, SUMIF(S), INDEX, MATCH and other functions, including Pivot Tables
- Fluency in English, both written and spoken
- Currently enrolled in either your first Bachelor or Master in Berlin and have at least 1 year of studies left

Preferred Qualifications

- You have a passion for data and are curious to always dig deep to uncover patterns
- You are self-driven and motivated to learn and explore
- You don't mind a bit of chaos; actually, you embrace it as something that provides all kinds of opportunities
- You love solving problems
- Have been enrolled in economic computer science / mathematic / engineering / computer science / business administration / or similar university programs
- Great communication skills

OUR OFFER
- Support for 20h per week
- Compensated with 15,87€ per hour
- Contribution on the long-run (ideally 1 to 2 years) as a fully-fledged team member
- Exciting opportunity to participate in the growth of a global digital audiobook provider
- International work environment in a beautiful Berlin Mitte location

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

m/w/d

Client-provided location(s): Berlin, Germany
Job ID: Audible-2606527
Employment Type: Part Time

Perks and Benefits

  • Health and Wellness

    • FSA
    • FSA With Employer Contribution
    • HSA
    • Health Reimbursement Account
    • Fitness Subsidies
    • On-Site Gym
    • HSA With Employer Contribution
    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • Mental Health Benefits
  • Parental Benefits

    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Hybrid Work Opportunities
    • Remote Work Opportunities
    • Work-From-Home Stipend
  • Office Life and Perks

    • Company Outings
    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Leave of Absence
    • Personal/Sick Days
    • Paid Holidays
    • Paid Vacation
    • Volunteer Time Off
  • Financial and Retirement

    • Relocation Assistance
    • Performance Bonus
    • Company Equity
    • 401(K) With Company Matching
    • 401(K)
    • Financial Counseling
  • Professional Development

    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Tuition Reimbursement
    • Leadership Training Program
    • Lunch and Learns
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)