Portfolio Data Analyst at Barclays
Northampton, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

12 Nov, 25

Salary

0.0

Posted On

12 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Date live:11/08/2025
Business Area:Customer Digital and Data
Area of Expertise:Data & Analytics
Contract:Permanent
Reference Code:JR-0000059736
Join us as a Portfolio Data Analyst at Barclays, where you’ll play a key role in driving governance, process improvement, and agile transformation across the Insurance & Packs Sub-LAB within the Life Moments LAB. In this role, you’ll support mission-critical and regulatory deliverables by maintaining and analysing data in Jira, Navigator, and related tools, enabling better sprint velocity tracking, trend analysis, and pack creation. You’ll collaborate with Scrum Masters and project leads to enhance data hygiene, improve Jira usage, and provide actionable insights that support agile ways of working, with a focus on project governance, process controls, and continuous improvement.

To be successful in this role, you will need the following:

  • Proficiency in Jira/JQL Reporting, Taxonomy, and Data Analysis.
  • Proven experience with PMO Governance and Controls, with the ability to analyse project management processes to identify governance gaps and areas of failure, ensuring compliance and effectiveness.

Some other highly valued skills may include:

  • Experience with Navigator and Tableau Reporting and Analysis.
  • Experience in reviewing and enhancing processes to optimise efficiency and support continuous improvement initiatives.

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.
The successful candidate can either be based in Knutsford or Northampton.

ACCOUNTABILITIES

  • Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.
  • Execution of data cleansing and transformation tasks to prepare data for analysis.
  • Designing and building data pipelines to automate data movement and processing.
  • Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems.
  • Documentation of data quality findings and recommendations for improvement.

How To Apply:

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Responsibilities

PURPOSE OF THE ROLE

To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources.

To be successful in this role, you will need the following:

  • Proficiency in Jira/JQL Reporting, Taxonomy, and Data Analysis.
  • Proven experience with PMO Governance and Controls, with the ability to analyse project management processes to identify governance gaps and areas of failure, ensuring compliance and effectiveness
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