Data Analyst on Business Intelligence

REQ-10101622
14/11/2025
Data Analysis
Bruxelles, Belgique
ING Bank

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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.

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Questions? Just ask
Turan Ozkan

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