Your mission
Are you curious about how data drives real decisions in a fast-moving environment
Join our Data Analytics team as a Working Student and explore the world of data analytics while seeing how it shapes real products.
In this role youll collaborate closely with our teams to turn data into insights and contribute to decisions that truly matter all while developing your skills and gaining hands-on experience in a collaborative dynamic environment.
In this role you will:
- Support the Data Analytics team in collecting maintaining and analyzing data related to Product Fraud and Customer Support including exploring user behavior to identify patterns and opportunities.
- Assist in translating product and business questions into analyses metrics and hypotheses with guidance from the team.
- Help build clear and simple insights that make data easier to understand and use across the organization.
- Work closely with various teams to support data-informed decision-making.
- Support the identification of gaps in tracking and contribute to improving data quality and product instrumentation.
- Assist in creating and maintaining dashboards and reports to help teams monitor user behaviour.
Your profile
- You are currently enrolled in a STEM-related degree or in Data Science Business Informatics Engineering Mathematics Computer Science at a university in Hamburg or the greater Hamburg area.
- First hands-on exposure to data analytics through internships or student jobs is a big plus.
- You have basic knowledge of SQL and Python and some exposure to data visualization or BI tools.
- You bring strong analytical and detail-oriented skills and enjoy working with numbers and data.
- You are curious motivated and eager to learn comfortable asking questions and taking ownership in a fast-paced environment.
- You work proactively and independently thrive in ambiguous situations and enjoy collaborating with different teams.
- You communicate clearly and confidently with fluency in written and spoken English.
Ideally you can support us between 16-20 hours per week.
Why us
- Work-Life Balance: up to 24 vacation days per year.
- Commuter Benefits: Public transportation tickets provided.
- Wellness: Access to over 10000 gyms and spas in Germany through Wellpass.
- Probonio: Monthly voucher selection up to 50.
- Catering: Monthly team lunches daily fruits vegetables and a variety of beverages.
- Flexibility: Flexible working hours and hybrid work model.
- Diversity: Join an international team with diverse cultural backgrounds.
- Fun and Games: Socializing area for relaxing activities during the workday.
- Desk Setup: Wherever you work we will provide you with your workspace utensils
Please note: this is not a remote only position we offer you a flexible hybrid model here in Hamburg Germany - working from home on Mondays & Fridays coming to the office on Tuesday Wednesday & Thursday!
Your missionAre you curious about how data drives real decisions in a fast-moving environmentJoin our Data Analytics team as a Working Student and explore the world of data analytics while seeing how it shapes real products.In this role youll collaborate closely with our teams to turn data into insi...
Your mission
Are you curious about how data drives real decisions in a fast-moving environment
Join our Data Analytics team as a Working Student and explore the world of data analytics while seeing how it shapes real products.
In this role youll collaborate closely with our teams to turn data into insights and contribute to decisions that truly matter all while developing your skills and gaining hands-on experience in a collaborative dynamic environment.
In this role you will:
- Support the Data Analytics team in collecting maintaining and analyzing data related to Product Fraud and Customer Support including exploring user behavior to identify patterns and opportunities.
- Assist in translating product and business questions into analyses metrics and hypotheses with guidance from the team.
- Help build clear and simple insights that make data easier to understand and use across the organization.
- Work closely with various teams to support data-informed decision-making.
- Support the identification of gaps in tracking and contribute to improving data quality and product instrumentation.
- Assist in creating and maintaining dashboards and reports to help teams monitor user behaviour.
Your profile
- You are currently enrolled in a STEM-related degree or in Data Science Business Informatics Engineering Mathematics Computer Science at a university in Hamburg or the greater Hamburg area.
- First hands-on exposure to data analytics through internships or student jobs is a big plus.
- You have basic knowledge of SQL and Python and some exposure to data visualization or BI tools.
- You bring strong analytical and detail-oriented skills and enjoy working with numbers and data.
- You are curious motivated and eager to learn comfortable asking questions and taking ownership in a fast-paced environment.
- You work proactively and independently thrive in ambiguous situations and enjoy collaborating with different teams.
- You communicate clearly and confidently with fluency in written and spoken English.
Ideally you can support us between 16-20 hours per week.
Why us
- Work-Life Balance: up to 24 vacation days per year.
- Commuter Benefits: Public transportation tickets provided.
- Wellness: Access to over 10000 gyms and spas in Germany through Wellpass.
- Probonio: Monthly voucher selection up to 50.
- Catering: Monthly team lunches daily fruits vegetables and a variety of beverages.
- Flexibility: Flexible working hours and hybrid work model.
- Diversity: Join an international team with diverse cultural backgrounds.
- Fun and Games: Socializing area for relaxing activities during the workday.
- Desk Setup: Wherever you work we will provide you with your workspace utensils
Please note: this is not a remote only position we offer you a flexible hybrid model here in Hamburg Germany - working from home on Mondays & Fridays coming to the office on Tuesday Wednesday & Thursday!
View more
View less