Private Equity Data - Associate / Senior Associate (f/m/x)

Location: Munich, Germany (Hybrid) CEPRES is the leading and fastest growing digital investment platform for private capital markets, an institutional asset class which became very relevant in global investment portfolios of sovereign wealth funds, insurances, pension plans and others. This global institutional client base benefits from our award-winning investment solutions for their investment activities while we connect via the CEPRES platform thousands of professionals to the largest private investment network worldwide. CEPRES GmbH / Corp is headquartered in Munich and New York, with additional offices in Denver, Heidelberg, and several locations in the Middle East. Our team is incredibly diverse with over 20 nationalities globally. We value smart and innovative people who also work effectively in a team environment and who are global players. About The role We are seeking a Private Equity Data Associate / Senior Associate to join our Data Strategy team. This role is ideal for candidates with strong private markets knowledge who enjoy working at the intersection of finance, data, technology, and client engagement. You will help institutional investors and fund managers structure, analyze, validate, and visualize investment data while contributing to the evolution of CEPRES' data and analytics capabilities. Key Responsibilities Private Markets Data & Analytics Analyze and validate Private Equity, Private Debt, Real Estate, and Infrastructure investment data. Review fund cash flows, NAVs, portfolio company metrics, and performance measures, including IRR, TVPI, DPI, and MOIC. Support data quality, taxonomy, and reporting framework development. Investigate and resolve complex data issues and client queries. Client Management & Delivery Act as a key contact for institutional investors and GP relationships. Lead discussions around data requirements, onboarding, reporting, and data quality topics. Translate client needs into scalable data and reporting solutions. Support strategic client onboarding and implementation projects. Data Engineering & Visualization Query and analyze large datasets using SQL. Design reports and dashboards in Power BI. Develop data models, visualizations, and analytical outputs for both internal and client-facing use. Partner with Product, Engineering, and Operations teams to enhance reporting capabilities. AI & Process Innovation Explore the application of AI and automation across private markets data workflows. Contribute to process optimization and data-driven operational improvements. Support the development of scalable analytics and next-generation client solutions. Leadership (Senior Associate) Mentor junior team members. Lead work streams and cross-functional initiatives. Drive continuous improvement across data quality and operational processes. Requirements Required Background & Experience Bachelor’s or Master’s degree in Finance, Economics, Business Analytics, Data Science, Mathematics, Engineering, Computer…