Senior Data Analyst KYC

Neurho Solutions

Brussel

On-site

EUR 70,000 - 100,000

Full time

2 days ago
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Job summary

Neurho Solutions is seeking a Senior Data Analyst KYC to make data across the customer due diligence lifecycle reliable and usable, connecting business needs with data governance, quality and reporting. You will design and maintain data solutions for onboarding, periodic reviews and event-driven updates.

You will work with data providers and consumers, define governance, investigate discrepancies with SQL, and build dashboards to visualize KYC volumes and risk.

Qualifications

  • Five+ years of data analytics experience.
  • Two to six years of hands-on analytics focused on KYC or financial crime prevention.
  • Proficiency in SQL queries for extracting, joining, validating and analysing data.
  • Data modelling experience with tools such as PowerDesigner.
  • Hands-on experience with dashboards like Tableau, BusinessObjects or SAS.
  • Strong understanding of banking data and KYC workflows.
  • Experience documenting functional and non-functional requirements for data solutions.
  • Knowledge of data security, IT architecture and financial services operations.
  • Experience coordinating input from multiple stakeholders through documentation and workshops.
  • Project management skills.
  • Bachelor's or Master's degree in a quantitative discipline, or comparable analytics background.

Responsibilities

  • Bring together data providers and translate KYC requirements into data solutions.
  • Define data governance, quality rules, access protocols, source-to-target mappings, lineage and reconciliation controls.
  • Investigate discrepancies across source systems using SQL.
  • Design logical and physical data models and develop data pipelines for reporting and analytics.
  • Build and prototype dashboards showing KYC volumes and risk distributions.
  • Identify opportunities to reduce duplicate collection and bottlenecks while maintaining security and compliance.

Skills

SQL
Data modelling
Dashboards
Data governance
Requirements gathering
Project management
Stakeholder management
Data quality
Banking data
IT architecture
KYC data

Education

Bachelor's or Master's in quantitative discipline

Tools

PowerDesigner
Tableau
BusinessObjects
SAS
Power BI

Job description

We are looking for a Senior Data Analyst KYC to make data across the customer due diligence lifecycle reliable and usable. You will help design and maintain data solutions for onboarding, periodic reviews and event-driven updates, connecting business needs with data governance, quality and reporting.

Your role
  • Bring together data providers and consumers, run workshops and translate KYC requirements into data solutions.
  • Define data governance, quality rules, access protocols, source-to-target mappings, lineage and reconciliation controls.
  • Investigate discrepancies across source systems, including mainframe data, and use SQL to analyse customer, risk and process data.
  • Design logical and physical data models and develop reliable data pipelines for reporting and analytics.
  • Build and prototype dashboards that show KYC volumes, risk distribution and process performance, turning findings into actionable insights.
  • Identify opportunities to reduce duplicate collection, manual checks and operational bottlenecks while respecting security and compliance standards.
You have
  • At least five years of relevant experience in data analytics.
  • Two to six years of hands‑on data analytics focused on KYC, customer due diligence or financial crime prevention.
  • Proficiency in SQL queries for extracting, joining, validating and analysing data.
  • Proficiency in data modelling tools, such as PowerDesigner or an equivalent.
  • Hands‑on experience with reporting and dashboard tools, such as Tableau, BusinessObjects or SAS.
  • In‑depth understanding of banking data.
  • In‑depth understanding of KYC data, including customer identification, beneficial ownership, risk, screening and review workflows.
  • Experience capturing, documenting and managing functional and non‑functional requirements for data solutions.
  • Knowledge of data security.
  • Knowledge of IT architecture.
  • Knowledge of financial services operations.
  • Hands‑on experience with data quality frameworks, including rules, monitoring and issue escalation.
  • Experience coordinating input from multiple stakeholders through documentation and workshops.
  • Project management skills.
  • A bachelor's or master's degree in a quantitative discipline, or another academic background with substantial knowledge of analytics.
  • Dutch or French at C1 level, spoken and written.
  • English at C1 level, spoken and written.
A plus
  • Hands‑on experience building interactive dashboards and reports in Power BI.
  • Familiarity with Agile methodologies.
  • Familiarity with project management tools, such as Jira or Agile Central.
  • A proactive approach.
  • An entrepreneurial mindset.
  • The ability to drive initiatives independently.
  • The ability to collaborate across teams.
  • Strong analytical skills.
  • Strong problem‑solving skills.
  • Attention to detail.
  • A quality‑focused approach.
  • Clear communication with technical and non‑technical stakeholders.
  • Dutch at C2 level.
  • French at C2 level.
  • English at C2 level.
  • Adaptability.
  • A willingness to learn.
  • The ability to connect strategic goals to operational execution.
Working at Neurho

Founded in 1998, Neurho is a Belgian IT and business consultancy. For more than 25 years, we have been helping banks, insurers, energy companies and public institutions in Belgium and Luxembourg with their transformation projects. At Neurho, you work on varied and challenging assignments, where your expertise is recognised and your growth encouraged. On top of your salary, you enjoy many extra‑legal benefits, designed to suit your role, your needs and your personal wishes.

Neurho is committed to equal opportunity and welcomes every application, regardless of age, origin, nationality, gender, social background, beliefs or disability.

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