Data Resilience Analyst - #2091803

Pontoon


Date: 23 hours ago
City: Manchester
Contract type: Full time
Work schedule: Full day
Pontoon

Job Title: Data Resilience Analyst
Location: Manchester, Birmingham, Edinburgh, or Bristol
Remuneration: Daily rate £750pwd, via Umbrella Company
Contract Details: 2 days in-office per week

Responsibilities:

  • Join the dynamic Data Resilience team within the Chief Data and Analytics Office (CDAO) and be a pivotal part of safeguarding our critical data services!
  • Support the management of the Data Resilience Solution in ServiceNow by translating regulatory and business needs into actionable technical tooling requirements.
  • Maintain resilience-focused datasets, ensuring critical data assets and dependencies are accurate and audit-ready.
  • Analyse end-to-end data flows for Important Business Services (IBSs) to identify vulnerabilities and enhance data resilience controls.
  • Coordinate Data Resilience BAU processes using ServiceNow, ensuring data integrity aligns with internal and regulatory expectations.
  • Collaborate with Power BI teams to develop resilience-focused visualisations that deliver insights on the Group's Data Resilience Position.
  • Create and maintain essential resilience artefacts and documentation, supporting audit and regulatory scrutiny.
  • Engage stakeholders through workshops and training, embedding Data Resilience practises and driving adoption of tools and controls.
  • Contribute to the Agile delivery of Data Resilience initiatives, ensuring continuous improvement in controls and processes.


About Us:
At our client, we're evolving alongside modern Britain. With significant investments in our people, data, and technology, we're transforming how we meet the ever-changing needs of our 26 million customers. We're on a purposeful growth journey, and we invite you to be a part of it!

What You'll Need:

  • Hands-on experience with ServiceNow GRC, CMDB modelling, Discovery, Flow Designer, and Workflow automation.
  • Deep understanding of data models, asset relationships, and data flows across complex systems.
  • Knowledge of Data Resilience principles, including integrity, availability, recovery, and encryption.
  • Proficiency in Excel and M365 for MI, data analysis, and governance reporting.
  • Familiarity with Power BI and data visualisation to support insight-driven decision-making.
  • A strong mindset focused on data quality and control, ensuring accuracy and completeness.
  • Expertise in requirements gathering and business analysis (user stories, workflows, data models).
  • Experience in Agile environments across the full solution lifecycle.
  • Ability to identify resilience risks and vulnerabilities in data and processes.
  • Effective stakeholder engagement and communication skills, translating technical concepts into business insights.
  • Strong analytical thinking and problem-solving abilities, with a continuous improvement mindset.
  • Adaptability and learning agility in a rapidly evolving regulatory and technical landscape.


Are you ready to make an impact? Join our client and play a vital role in shaping the future of data resilience in banking! Apply today!

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Due to the high volume of applications we receive, we are unable to respond to everyone individually. If you do not hear from us within 48 hours of applying, please assume that your application has been unsuccessful on this occasion.


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