Data Science & Analytics Lead

About Maxus

Maxus Capital is a dynamic and entrepreneurial private equity platform investing across the small and mid-cap market in Europe and the US. With over €620m in AUM we complement fund investments with co-investments and secondary transactions, as a result we’re invested in a diverse portfolio of 100+ underlying companies across regions and sectors.

As part of our ambitious growth trajectory, and of our mission to redefine private equity, we are committed to leveraging data-driven insights to enhance our investment decisions and portfolio management.

To help us scale faster and smarter, we are looking for a hands-on Data Science & Analytics Lead to lead and manage this initiative, building our data infrastructure and transform how we extract insights from our investment portfolio. This is an unique opportunity to shape the data strategy of a fast-growing private equity platform while working directly with senior leadership.

Your Role & Responsibilities

This is a high-impact, cross-functional role that touches every corner of our firm. As we are a fast-growing firm, in addition to the core responsibilities of this role (Infrastructure & Architecture, Analytics & Insights), you have the opportunity to further shape this role and take up wider responsibilities across our Finance & Operations and Investment teams. Main aspects of the role include:

1. Data Architecture

• Take the lead in designing, building and implementing a scalable data infrastructure, a single source of truth across our investment portfolio (funds and direct investments) and finance operations. Our data is complex and comes from an array of different sources, but both the nature of our business and the Maxus mindset have a zero error margin tolerance;
• Develop and implement automated data collection and extraction processes;
• Identify potential integrations and build data connectors/APIs to integrate with existing tools and software platforms;
• Establish data governance frameworks, security protocols and back-up procedures;
• Maintain and optimize the data infrastructure for performance and efficiency.

2. Analytics & Insights

• Create automated financial and market data analysis workflows;
• Develop business intelligence and analytics in the form of dynamic dashboards and applications to track financial data, KPIs, benchmarks, insights on our portfolio, et … ;
• Build predictive models and benchmarking capabilities for our portfolio;
• In close collaboration with the investment & finance teams, generate actionable insights for investment decision-making and portfolio optimization;
• Further Leverage technology and AI to generate insights that go beyond the traditional KPI dashboarding.

3. Areas to which scope can extend to (non-exhaustive)

• Build a long-term view on how Maxus can use data, software and AI to outperform as a platform;
• Support and take ownership of Maxus’ internal Information Technology systems and tools;
• Monitor and strengthen our cybersecurity practices.

We’re looking for someone with strong technical capabilities, who thrives in a fast-paced environment where autonomy, pragmatism and ownership are valued.

• 4 – 8 years of experience in roles spanning data science, data analytics, data engineering or a related role;
  
• Technical skills include:

1. Strong Proficiency in SQL/NoSQL database design & optimization (e.g. PostgreSQL);
2. Strong Proficiency in Python for data processing, analysis and application development;
3. Proficiency with data visualization tools (e.g. Tableau, PowerBI, Looker …)
4. Understanding of data warehousing and data pipeline development;
5. Familiarity with API development and integration;
6. Familiar working with cloud platforms (e.g. AWS, Azure, GCP);
   

• Strong quantitative background with experience in financial data analysis;
  
• Having had some exposure to, or a strong affinity with, private equity, investing or finance-adjacent environments is an added-value but not required, a strong interest in private equity and eagerness to learn fast can make up for a lack of prior exposure to it;
  
• Resourceful, hands-on and solutions-oriented, you're comfortable building from scratch as well as improving what has been built before;
  
• Passion for data, tooling, automation, data science algorithms and the smart application of AI;
  
• Fluent in English (written and spoken), other languages are a plus;
  
• Based in or willing to work regularly from our Ghent office.
  

• A pivotal role at the intersection of data, tech and private equity;
• The opportunity to shape how a next-gen private equity firm operates, measures, and scales;
• Real ownership, high autonomy, and support from a driven, ambitious team;
• A competitive compensation package including long-term upside;
• A culture that blends entrepreneurship, high standards, and good fun.