Data Analyst – Financial Services

Data Analyst – Financial Services Job Description Template

Our company is looking for a Data Analyst – Financial Services to join our team.


  • Help Clients understand the best mix of technologies, solutions and services, and how to deliver them to maximise business value;
  • Work and collaborate with various offshore and 3rd party suppliers, adapting your communications approach to meet the business demands;
  • Organise meetings and take notes of all of the analysis;
  • Understand problems and issues in the current architecture;
  • Act as the interface between data architects, SME and content experts;
  • Analysis to identify data requirements, attributes, entities and relationships, gather data dictionary definitions;
  • Work closely with SME’s and data architects;
  • Analyse the actual data itself.


  • Excellent interpersonal, communication and client management skills;
  • Organise and facilitate meetings & workshops and record actions and decisions;
  • Understanding of RDBMS’s and proficiency with SQL;
  • Prior experience with least 5 years having worked on large data migration programmes;
  • Full lifecycle experience from project inception, feasibility, design – through to project delivery;
  • Desire to keep learning about new practices and technology, supporting EPAM’s Software Engineering Excellence;
  • Exposure and understanding of different agile approaches and good working knowledge of analysis tools including Jira;
  • Understanding of JSON, XML & Semantic Web technologies (e.g. RDF, OWL, SPARQL & SHACL) desirable but not essential;
  • Stakeholder Management experience and skills – able to converse with all levels of stakeholders to understand and extract requirements;
  • Working with nearshore developers, understanding the challenges of working in a nearshore delivery model;
  • Experience of working in a sales environment, which also includes the ability to sell ideas internally;
  • Experience of Sparx Systems Enterprise Architect desirable but not essential;
  • Good understanding of financial reference and/or market reference data;
  • Understanding of UML and or logical data models is essential for this role.

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