Data Analyst on Business Intelligence

Job Title:Data Analyst Level IV

Location: Brussels-Capital (Hybrid)

Tribe: Investment

Work Schedule: 37h flex

Homeworking: Up to 50%, based on team agreement

Reports to: Product Lead Business Intelligence

About the Role

As a Data Analyst Level IV within Tribe Investment, you will play a key role in enabling data-driven decision-making across investment products and commercial cycles. You will lead complex analytical initiatives, support strategic product development, and collaborate with cross-functional squads to optimize investment performance, customer engagement, and regulatory compliance.

Key Responsibilities

• Lead advanced data analysis and reporting initiatives focused on Tribe Investments product suite, and portfolio performance.
• Design and maintain dashboards and reporting tools to monitor KPIs and sales objectives.
• Identify trends and opportunities in investment behavior, product performance, and market dynamics to support strategic decisions.
• Collaborate with Product Lead, Customer Journey Experts, and Data Engineers to embed analytics into product development and customer experience strategies.
• Ensure data quality and consistency across investment-related datasets, including transactional, behavioral, and market data.
• Support regulatory and compliance reporting needs.
• Contribute to the automation of reporting and analytics processes
• Act as a data ambassador within Tribe Investment, promoting data literacy and usage across squads.

Required Skills & Experience

• Proven experience in data analysis within financial services, ideally in investments, wealth management, or retail banking.
• Strong proficiency in SQL, Python or R, and data visualization tools (e.g., Power BI, DBeaver, Excel).
• Solid understanding of investment products (e.g., mutual funds, ETFs, discretionary mandates) and related metrics.
• Experience with customer segmentation, behavioral analytics, and performance attribution.
• Ability to translate complex data into actionable insights for both technical and non-technical stakeholders.
• Familiarity with agile ways of working and multidisciplinary squads.

Preferred Qualifications

• Experience with Investment product suite and data landscape.
• Exposure to predictive analytics, trend detection, and machine learning in investment contexts.
• Experience with data platforms and data governance frameworks.