Hybrid Business Data Analyst - Governance & Architecture

APG Asset Management

Amsterdam

Hybrid

EUR 66,000 - 95,000

Full time

14 days+
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Benefits offered by this job

End of year bonus 8.33%
Vitality and personal development
Work from home 2-3 days per week
Well-managed pension

Job summary

APG Asset Management is seeking a Business Data Analyst in Governance & Architecture to bridge business requirements with data solutions. The role spans asset classes, ensuring teams can access and use data while complying with governance frameworks.

You will collaborate with data engineers, architects and business stakeholders to design robust data models, ETL/ELT pipelines and data products, aligning with enterprise standards and policies. This position offers hybrid work in the Netherlands.

Qualifications

  • 8+ years of experience as a Business Analyst or Data Analyst.
  • Degree in econometrics / mathematics / data science / economics (advanced degrees or certifications such as CFA, FRM are a plus).
  • Advises and acts as a sparring partner of (senior) management when it comes to features.
  • Prior experience with SCRUM/Agile methodologies with enterprise-level application development projects.
  • Strong analytical, problem-solving, and synthesizing skills.
  • Business analysis or project management experience in the financial industry, ideally with background in the asset management industry.
  • Highly developed communication skills in English.
  • Flexible and resilient team player with strong interpersonal skills taking initiative to drive things forward.
  • Adaptable, able to work across teams and functions in multinational environment.
  • Any qualifications like CFA will be an added plus.

Responsibilities

  • Understanding & Documenting Data Requirements
  • Work closely with business stakeholders to gather, define, and document data needs via data flow diagrams.
  • Translate business needs into clear, structured data requirements which could be picked up further by the Data teams to deliver data products & information products.
  • Identify gaps in available data, propose solutions and liaise with business and data teams to fill these gaps.
  • As Subject Matter Expert (SME) support the team within Data Office on strategic initiatives around tooling, solutions and data to help achieving the Data Office ambitions.
  • Communicating data-related concepts and solutions effectively to both technical and non-technical stakeholders and giving advice where needed.
  • You are the linking pin between the Business & IT.
  • Understanding of ingested data, metrics, choose appropriate data models and design robust ETL/ELT pipelines together with our data engineers and developers.
  • Support business teams find and retrieve relevant data and data products to fulfil their specific needs (thus improve data discoverability) and ensure consistency of usage and compliance with policies.
  • Support data governance initiatives in close collaboration with data modelers & architects (in role of central data steward).
  • Help define and implement data quality standards and guidelines based on business requirements.
  • Align data products with business needs and drive standardization across teams.
  • Support the design of physical, logical and conceptual data models.

Skills

English communication
Agile methodologies
Data governance
Data analysis
Stakeholder management
ETL/ELT pipelines
Cross-functional collaboration

Education

Econometrics / Mathematics / Data Science / Economics degree

Tools

SQL
BI tools
Data modeling

Job description

APG Asset Management is seeking a Business Data Analyst in Governance & Architecture to bridge business requirements with data solutions. The role spans asset classes, ensuring teams can access and use data while complying with governance frameworks.

You will collaborate with data engineers, architects and business stakeholders to design robust data models, ETL/ELT pipelines and data products, aligning with enterprise standards and policies. This position offers hybrid work in the Netherlands.

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