Business Analyst (with EFTR experience) at Capgemini
Toronto, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

24 Apr, 25

Salary

0.0

Posted On

24 Jan, 25

Experience

6 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Data Analysis, Soft Skills, Business Process, Documentation, Process Modeling, Data Models, Datasets, Sql

Industry

Information Technology/IT

Description

The Business Analyst with EFTR Experience will support the design, analysis, and documentation of business and data requirements for projects involving Electronic Fund Transfer Reporting (EFTR). Based in Toronto, this role requires a strong technical background in data analysis and documentation, combined with hands-on experience in EFTR processes.

REQUIRED QUALIFICATIONS:

  • Experience:
  • 6+ years of experience as a Business Analyst, Data Analyst, or in a similar technical/functional role.
  • Hands-on experience with EFTR processes (mandatory).
-

Technical Skills:

  • Strong data analysis skills, including proficiency with SQL queries for analyzing datasets.
  • Experience in producing and using data catalogues, and understanding data models.
  • Familiarity with business process modeling techniques.

-

Documentation Skills:

  • Ability to articulate requirements clearly and concisely in documentation.
  • Summarize complex data analysis and translate findings into actionable insights for business users and technical teams.

SKILLS SUMMARY:

  • Core Expertise: EFTR processes, data analysis, SQL.
  • Documentation: Requirements articulation, data catalogues, process modeling.
  • Soft Skills: Communication, stakeholder collaboration, problem-solving.
  • Experience: Business/data analysis in technical and functional roles.
Responsibilities
  • Analyze and document requirements for EFTR (Electronic Fund Transfer Reporting) projects.
  • Work closely with business users and development teams to ensure requirements are understood and implemented.
  • Perform in-depth data analysis using SQL queries to extract and validate data.
  • Create and maintain data catalogues, ensuring accurate documentation of data models and business processes.
  • Present findings and summarized data analysis to stakeholders clearly and effectively.
  • Support business process modeling to align data requirements with operational workflows.
Loading...