Data Analyst with Alteryx & Tableau at Capgemini
Glasgow, Scotland, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

28 May, 25

Salary

0.0

Posted On

28 Feb, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Financial Services, Risk, Quality Processes, Stakeholder Management, Strategy, Demand, Alteryx, Tableau, Cloud, It, Technology, Design

Industry

Information Technology/IT

Description

CAPGEMINI IS A GLOBAL BUSINESS AND TECHNOLOGY TRANSFORMATION PARTNER, HELPING ORGANIZATIONS TO ACCELERATE THEIR DUAL TRANSITION TO A DIGITAL AND SUSTAINABLE WORLD WHILE CREATING TANGIBLE IMPACT FOR ENTERPRISES AND SOCIETY. IT IS A RESPONSIBLE AND DIVERSE GROUP OF 350,000 TEAM MEMBERS IN MORE THAN 50 COUNTRIES. WITH ITS STRONG OVER 55-YEAR HERITAGE, CAPGEMINI IS TRUSTED BY ITS CLIENTS TO UNLOCK THE VALUE OF TECHNOLOGY TO ADDRESS THE ENTIRE BREADTH OF THEIR BUSINESS NEEDS. IT DELIVERS END-TO-END SERVICES AND SOLUTIONS LEVERAGING STRENGTHS FROM STRATEGY AND DESIGN TO ENGINEERING, ALL FUELLED BY ITS MARKET-LEADING CAPABILITIES IN AI, CLOUD, AND DATA, COMBINED WITH ITS DEEP INDUSTRY EXPERTISE AND PARTNER ECOSYSTEM. THE GROUP REPORTED 2023 GLOBAL REVENUES OF €22.5 BILLION.

Get The Future You Want | www.capgemini.co

Responsibilities

Capgemini Financial Services is seeking an experienced Data Analyst with Alteryx & Tableau as core skills. This role is based in Glasgow and follows a hybrid work model.

  • Data Hydration Support: Collaborate with Product Owners Business Stakeholders and the Technical Team (Shared Services CRDU Tech etc.) to ensure timely data hydration.
  • Dashboard Creation: Develop Management Information (MI) dashboards to support the operations team. Stakeholder Management: Communicate events blockers progress and updates to stakeholders in a timely manner.
  • Requirements Gathering: Work with product owners business stakeholders and technical teams to gather and document detailed business and data flow requirements.
  • Data Extract Creation: Generate data extracts on demand efficiently and promptly.
  • Risk & Controls: Implement appropriate controls and highlight risks in a timely manner.
  • Accountabilities: Implement data quality processes to ensure data reliability and trustworthiness.
  • Investigate and analyze data issues related to quality lineage controls and authoritative source identification .
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