Job
- Level
- Junior
- Location
- Frankfurt
- Working Model
- Hybrid, Onsite
- Job Field
- Data
- Employment Type
- Part Time
- Contract Type
- Internship / school internship
Job Summary
You will work on data analysis for reports and dashboards, develop (AI) prototypes, and assist in digital projects aimed at optimizing processes in fund services.
Job Technologies
Your role in the team
- Would you like to gain your first practical experience in Data Analytics and actively contribute to the further development of data-driven processes in our segment? In the Digital Transformation & Enablement group, we are looking for reinforcement with the goal of enabling the tech transformation for the segment.
- Together with our specialist and IT teams, you will work both conceptually/strategically for the business units and management, as well as on the concrete analysis of data products, develop (AI) prototypes, and generally support the optimization of our processes in the area of Process Excellence & Automation.
- Insights and active participation in the data-driven further development of the fund services segment.
- Conceptual and strategic involvement in our digitization initiatives within the segment. You will also work independently and have the opportunity to present results to the specialist department and management. Additionally, you will assist us in preparing presentations.
- Support in the analysis and preparation of data products such as reports, dashboards, or AI prototypes.
- Collaboration in interdisciplinary teams - from data acquisition to implementation in the specialist department.
- Space for your personal and professional development in a dynamic environment.
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Our expectations of you
Education
- Ongoing studies in Business Informatics, Statistics, Mathematics, (Business) Informatics, Business Administration with a focus on IT / Data Analysis or comparable.
Qualifications
- C1 German language skills, both written and spoken.
- Basic knowledge of SQL and ideally in a programming language like Python or R.
- Interest in supporting various digitalization initiatives in the operations area.
- You are characterized by a strong hands-on mentality and independent work.
- In addition, teamwork, initiative, and a meticulous work approach are among your strengths.
- You are also available up to 20 hours per week for up to 12 months (full-time during semester breaks).
Experience
- Initial practical experience with handling data (e.g., through projects, internships, or part-time jobs).
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What we offer
- In addition to our attractive working environment, there are numerous other benefits and social services, including mobile and flexible working.
- Free Germany Ticket as a Job Ticket.
- Attractive company restaurants and coffee bars at the Frankfurt and Luxembourg locations.
- Subsidized lunch.
- Free beverages at the workplace.
- Company pension scheme.
- Asset-building benefits.
- Employee conditions within the framework of the Cooperative Financial Network.
- A wide range of offerings related to fitness and health topics (e.g., Wellpass, internal sports programs, and health prevention).
- Various leasing offers (e.g., bicycle or tech leasing).
- Modern work environments, including first-class IT equipment.
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Benefits
Work-Life-Integration
Higher Take-Home Pay
- 🚙Company Car
- 📱Company Phone for Private Use
- 💻Company Notebook for Private Use
- 🛍Employee Discount
- 👴🏻Company Retirement Provision
- 🚎Public Transport Allowance
Health, Fitness & Fun
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
Union Investment AG
Union Investment ist der Experte für Fondsvermögensverwaltung in der Genossenschaftlichen FinanzGruppe und einer der größten deutschen Anbieter von Investmentfonds. Unser Anspruch ist, privaten wie institutionellen Anlegern die bestmöglichen Lösungen zu bieten.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Banking, Finance, Insurance
Working Student Data Analytics
- Location
- Frankfurt
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
