Data Analyst on Business Intelligence

• REQ
• 24/02/2026
• Data Analysis
• Brussel, België
• ING Bank

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 comple analytical initiatives, support strategic product development, and collaborate with cross-functional squads to optimize investment performance, customer engagement, and regulatory compliance.

Key Responsibilities

• 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, C- , 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.

Required Skills & Eperience

(Senior) Data Analyst with 7+ years of e

• perience 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.
  Epert in SQL (must‑have), proficient in Python/R, and highly skilled with Power BI, E- cel, SAS Modelling; familiar with broader data tooling ecosystems.
• Strong understanding of investment products and performance metrics across mutual funds, ETFs, and discretionary mandates.
  E- perienced in segmentation, behavioral analytics, and performance attribution.
  Skilled at translating comple- 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.

Preferred Qualifications

Strong e

• perience with investment products and the related data landscape.
  High analytical aptitude with proven ability to solve comple- data problems.
• Skilled at linking data patterns to real‑world business behavior.
  Hands‑on e- perience with statistics and model development.
• Able to convert analytical output into practical, actionable solutions.
  Eposure to predictive analytics, trend detection, and machine learning in investment conte- ts.
• 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.

Your place of work

Eplore the area

Vragen? Stel ze aan
Anna Biriukova

Vraag via

Bij ING willen we het beste uit mensen halen. Daarom hebben we een inclusieve cultuur waarin iedereen de kans krijgt om te groeien en een verschil te maken voor onze klanten en de samenleving. Diversiteit, gelijkheid en inclusie staan bij ons altijd voorop. We behan iedereen eerlijk, ongeacht leeftijd, geslacht, genderidentiteit, culturele achtergrond, ervaring, geloof, ras, etniciteit, beperking, gezinssituatie, seksuele geaardheid, sociale afkomst of wat dan ook. Heb je hulp nodig of kunnen we iets voor je doen tijdens je sollicitatie of gesprek? Neem dan contact op met de recruiter die bij de vacature vermeld staat. We werken graag samen met jou om het proces eerlijk en toegankelijk te maken. Lees hier meer over hoe wij staan voor diversiteit, inclusie en erbij horen.