Data Analyst at Capgemini
Toronto, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

27 Jul, 25

Salary

0.0

Posted On

27 Apr, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Completion, Data Analysis, User Documentation, Estimates, Training

Industry

Information Technology/IT

Description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

JOB DESCRIPTION

" Impact and influence to ensure stakeholder support of the requirements strategy at the program level

  • Facilitate collaborative sessions with large and diverse business stakeholder groups to drive requirements discovery, analysis, and review
  • Prepare requirements for review applying various communication techniques and lead requirements walkthrough and sign off sessions
  • Data Analysis: Perform detailed analysis of large datasets to identify patterns, trends, and anomalies that could indicate risks or inefficiencies.
  • Develop plans and estimates for completion of requirements
  • Identify, track and resolve business systems issues during the project lifecycle
  • Support QA in testing activities
  • Support Design and Development activities by providing requirements clarifications
  • Support Functional Support activities
  • Support the development of the end-user documentation and training

What do you need to succeed?

  • 5+ years of experience working as a Senior Data Analyst - requirements planning, data mapping, analysis use case development and documentation
  • 5+ years of Banking experience in Data analysis or Business analysis
  • Strong quantitative and statistical analysis capabilities.
  • Ability to analyze large datasets for trends, anomalies, and risk indicators.
  • SQL proficiency for data querying, manipulation, and analysis.
  • Advanced knowledge and proven experience in requirements planning and prioritization including stakeholder analysis and effort estimation and proven experience with requirements elicitation techniques
Responsibilities

Please refer the Job description for details

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