Data Analyst – Product Systems & Data Integration (BankingInsurance)

100% Remote

• Strong understanding of data concepts (entities relationships keys domains) data modeling patterns (relational dimensional lakehouse) and data lifecycle across environments.
  

• Practical experience interpreting and specifying data flows data contracts and interface requirements between systems and platforms.
  

• Partner with business and technology teams to gather and translate business needs into clear technical and data requirements.
  

• Document requirements including data definitions process flows use cases and functional specifications to support solution design.
  

• Conduct data and process analysis to identify gaps data-quality issues and opportunities for improvement.
  

• Support delivery and implementation planning by performing impact analysis and requirement clarity assessments.
  

• Proficiency in requirements lifecycle management including elicitation documentation validation and traceability.
  

• Strong analytical mindset with the ability to translate complex business needs into technical specifications.
  

• Experience facilitating stakeholder sessions and collaborating with large business and tech teams.
  

• Effective communication skillsboth verbal and writtento work cross-functionally and present to diverse audiences.
  

• Competence in defining and validating data requirements transformation rules and data quality checks.
  

• Understanding of data governance metadata management and data lineage principles.
  

• Previous experience in insurance or financial services especially with back-office or product systems.