Data Analyst on 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.

• Advanced analytics and reporting across investment products and portfolio performance.
• Build scalable, high‑quality data models grounded in consistent business logic.
• Translate business questions into clear analytical and data requirements.
• Develop and maintain KPI, sales, and performance dashboards.
• Deliver accurate insights that drive informed commercial and strategic decisions.
• Uncover trends in investor behavior, product performance, and market dynamics.
• Collaborate with Product, CX, and Engineering teams to embed analytics into products and customer journeys.
• Safeguard data quality, consistency, and reliability across investment datasets.
• Support regulatory and compliance reporting through trusted dashboards.
• Automate recurring reporting workflows to improve efficiency.
• Advocate for data literacy and promote data‑driven decisions across Tribe Investment.

• (Senior) Data Analyst with 7+ years of experience in financial services, specializing in investment and wealth analytics; able to work autonomously, prioritize effectively, and deliver fit‑for‑purpose data products.
• Design and maintain robust KPI frameworks to evaluate business performance and detect emerging trends.
• Perform hands‑on analysis to support BAU activities, track departmental KPIs, and generate new insights.
• Shape and implement a coherent data and analytics strategy for ING Investment in Belgium, adapting it where needed across territories.
• Expert in SQL (must‑have), proficient in Python/R, and highly skilled with Power BI, Excel, SAS Modelling; familiar with broader data tooling ecosystems.
• Strong understanding of investment products and performance metrics across mutual funds, ETFs, and discretionary mandates.
• Experienced in segmentation, behavioral analytics, and performance attribution.
• Skilled at translating complex analytical outputs into clear, actionable insights for varied audiences.
• Thrive in fast‑paced agile environments, collaborating effectively across cross‑functional squads and managing diverse stakeholders. 

• Strong experience with investment products and the related data landscape.
• High analytical aptitude with proven ability to solve complex data problems.
• Skilled at linking data patterns to real‑world business behavior.
• Hands‑on experience with statistics and model development.
• Able to convert analytical output into practical, actionable solutions.
• Exposure to predictive analytics, trend detection, and machine learning in investment contexts.
• Familiar with data platforms and data‑governance best practices.
• Naturally curious and motivated to understand systems and data \"under the hood.\"
• Capable of designing and delivering training, workshops, and coaching to strengthen team‑wide analytical capabilities.