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dataroles

Data Analyst with German language

Capco capco.com Open · verified Oct 24, 2026
Bratislava Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at Capco. Bratislava.

Pay not stated Data Analysis & BI salary

RoleData Analysis & BI
SeniorityMid-level
LocationBratislava
PostedOct 20, 2022 · 4y ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Analyze business needs and data for banking transformation work, from initial assessment through implementation
  • Help improve data processes and management, then build and refine the solutions that support them
  • Take increasing ownership of your subject areas and lead smaller project teams or workstreams
  • Work in an agile team on changes involving banking data

What you bring

  • A completed university degree and fluent English and German
  • Hands-on experience or strong interest in data analysis, large datasets or data quality work
  • Knowledge of financial services, including banking products and accounting

Who this fits

This role suits someone with analytical and conceptual strengths who works well with others and persists through complex problems. You’ll join an agile team and may gradually take on responsibility for smaller project teams. The role is based in Bratislava, with the option to work from the Nivy Tower office or remotely from home.

From the employer

Shape the Future of Financial Services with Capco

At Capco, we specialize in management consulting and software development, partnering with leading international banks and insurance companies across Western Europe. Our innovative approach and collaborative culture make us the ideal place for professionals looking to make an impact in financial services technology.

Want to learn more about our culture and people? Visit us: Capco Careers Slovakia

Why Join Us?

  • Prestigious Clients & Exciting Projects – Work with top-tier banks on transformation projects that redefine financial services.
  • Continuous Learning & Development – Access to technical and soft skills training, professional certifications, and full access to the Udemy online learning platform.
  • Flexible Work Environment – Work from our modern Bratislava office (Nivy Tower) or remotely from home.
  • Attractive Benefits Package:
    ✅ Private health care & paid sick days
    ✅ 25 vacation days (regardless of age)
    ✅ Monthly cafeteria allowance (€50/month) or contribution to the 3rd pillar
    ✅ Fully paid meal vouchers
    ✅ Multisport card with employer contribution
    ✅ Smartphone with 1TB data + Laptop
    ✅ Relaxing office environment: Fresh fruit, game room (PS4, table football), pet-friendly space
  • Well-being & Community Engagement – Join yoga lessons, mental health webinars, running challenges, sports activities, or participate in our volunteering days.
  • Long-term career – Permanent employment contract with opportunities for career growth.
  • The minimum gross monthly base salary for this position is from € 2,200. The final offer could be higher to reflect the candidate’s experience, skills, and overall fit for the role. Additionally, this position may also be eligible to receive a discretionary/variable bonus payment. Capco is committed to providing fair and equitable compensation to our people. Our compensation policies are designed to allow our people to progress through our defined salary range over time as they progress in their role.

Role Description

We are expanding our new team for our banking clients.

  • You will be a business/data Analyst, part of an agile team focused on exciting transformation challenges around data
  • You will work with some of the largest banks in the world, on projects that will transform the financial services industry
  • You will modernize related processes and set-up, develop, and optimize state-of-the-art solutions and the corresponding data management all the way from business analysis to implementation
  • Gradually you will take on more responsibility for your topics, as well as lead sub-projects and smaller project teams

Skills and Expertise

  • A successfully completed university degree
  • Fluent English and German
  • Strong interest and working experience in one or more of the following areas:
    • Working with data (data analysis, working with large datasets, data quality management, e.g. formulating rules and criteria to validate data, analyzing and resolving data quality events)
    • Business Analysis (as-is process and data analysis, writing requirements, data mapping)
    • Business Process Optimization (simplifying / automating processes, elimination of manual processes)
    • Agile project work or knowledge of agile working methods and corresponding tool
  • Knowledge about the financial service industry, about banking products and about accounting is needed
  • You are a team player, have good analytical and conceptual skills as well as perseverance

Your Hiring Journey

✅ Screening Call – Introductory chat with our recruiter
✅ Technical Interviews (1-2 rounds, depending on the project) – Discuss your skills with our experienced Capco colleagues
✅ Feedback & Offer – Receive an offer to join our team!

Why Capco? Because You Matter.

At Capco, we prioritize your career growth and well-being. You will have a personal coach to support your development and a flat hierarchy that encourages you to share and implement your ideas. Plus, our team events, sports activities, and networking opportunities help you stay connected and engaged beyond work.

Curious to learn more? Apply now – it only takes 5 minutes!

📩 Contact: Zora Paulikova – zora.paulikova@capco.com
💻 Connect on LinkedIn: Zora Paulikova | LinkedIn

#fulltime

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.