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Data Analyst (Junior/Mid-level)

Business Department:  Corporate Operations

Zug, CH

Partners Group is a global private markets investment manager, serving over 900 institutional investors. We have USD 94 billion in assets under management and more than 1,400 professionals across 20 offices worldwide. We realize potential in private markets by financing and developing great companies, desirable real estate and essential infrastructure. We create value in our investments through active and long-term responsible ownership.

What it's about

The Business Applications Analytics Group is closely aligned with the business teams and responsible for the key applications to administrate, monitor and analyze Partners Group’s investment programs. It takes care of the development, customization and on-going enhancement of these applications to best support the global business operations of Partners Group.



  • Developing leading POCs to create break through solutions, performing exploratory and targeted data analyses
  • Maintenance and enhancement of business applications and processes
  • Support dashboard development and maintenance using data visualization software
  • Implement controls to test data quality and ensure full consistency with other systems and databases

What we expect

Required Qualification

  • 0-3 years of technology experience in a Quantitative Engineering/Development capacity
  • Strong academic record and a Bachelor/Master degree with high mathematical and computing content (e.g. Computer Science, Mathematics, Engineering or other quantitative disciplines)
  • Demonstrated experience in Python, Java, SQL / Relational Database
  • Demonstrated advanced ability to translate functional business requirements into complex technical solutions
  • Proven ability to be strategic, creative, and interested in leveraging technology to solve financial/quantitative business problems.  Keenly aware of time to market constraints
  • Strong interpersonal skills which lend themselves to a team-oriented approach


Preferred Qualification

  • Financial Industry Experience
  • Understanding of  statistical modelling, algorithms, data mining and machine learning
  • Agile or similar development methodology experience
  • SQL / Relational Database experience including design, complex procedure writing, and performance understanding
  • A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review or pairing, unit testing, refactoring and related approaches