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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
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.
- 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.
- 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.
Key Skills
Ranked by relevance
data analysis
data visualization
machine learning
power bi
python
sql
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- Posted
- Nov 15, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Brussels
- Company
- ING Belgium
Industries
Financial Services
Categories
Information Technology
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