Data Quality Business Partner at AXIS (AXIS Capital) | England, GB | Rezi

Data Quality Business Partner at AXIS (AXIS Capital)

Data Quality Business Partner

AXIS (AXIS Capital) · England, GB

1 months ago

Data Quality Business Partner

AXIS (AXIS Capital) · England, GB

2 months ago
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About the Role

As a Data Quality Business Partner within AXIS, you will support the Data & Analytics Transformation programme, focusing on ensuring the integrity, accuracy, and usability of data across the organisation. You will work closely with technical teams and business stakeholders to apply data quality best practices and embed them into operational workflows and strategic decision-making.

Responsibilities

  • Collaborate with business stakeholders to understand data quality needs and pain points, acting as a liaison between business units and the data quality team.
  • Translate business requirements into data quality rules and validation checks.
  • Collaborate with data stewards, analysts, engineers, and governance teams to ensure alignment on data quality goals.
  • Assist in workshops and training sessions to raise awareness of data quality issues.
  • Contribute to cross-functional projects by supporting data quality activities and providing input based on established practices.
  • Execute routine monitoring and assessment of data quality across core insurance systems.
  • Prepare dashboards and reports to support data quality performance tracking.
  • Identify data anomalies and work with relevant teams to resolve root causes and recommend corrective actions.
  • Conduct data profiling and analysis to identify trends, gaps, and improvement opportunities.
  • Collaborate with technical teams and business stakeholders to support the application of data quality standards in operational processes.
  • Participate in regular reviews with stakeholders to support process refinement based on data insights.
  • Implement data quality checks into existing business processes.
  • Support efforts to automate data cleansing and enrichment processes.
  • Ensure that system upgrades or migrations include data quality considerations.
  • Contribute to the design and testing of new systems and data pipelines by following detailed guidance and specifications.
  • Take on additional duties, responsibilities and activities appropriate to the nature of this role.

Requirements

  • Experience in data quality, data analysis, or data governance within the insurance sector.
  • Understanding of insurance operations and data flows (e.g. policy lifecycle, claims processing).
  • Strong communication and stakeholder management skills.
  • Analytical mindset with attention to detail and willingness to learn and solve problems.

Skills

  • SQL
  • Excel
  • Data visualization tools (e.g. Power BI, Tableau)
  • Data quality and data governance tools and frameworks (e.g. DQPro, Soda, DDW)

Location

  • Onsite (3 days per week)

Work Type

  • Hybrid

Benefits

  • Comprehensive and competitive benefits package
  • Medical plans for you and your family
  • Health and wellness programs
  • Retirement plans
  • Tuition reimbursement
  • Paid annual leave
  • Paid vacation

About the Company

  • AXIS Capital is a trusted global provider of specialty lines insurance and reinsurance.
  • We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders.
  • We proudly maintain an entrepreneurial, disciplined and ethical corporate culture.
  • At AXIS, we believe that we are only as strong as our people.
  • We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves.
  • We are shaping the direction of Insurance and Reinsurance during a critical and exciting time for the industry.
  • At AXIS, we value each individual and recognize that attracting and retaining the right people is essential to the success of our company.

Equal Opportunity

  • All qualified applicants will receive consideration for employment without regard to any protected characteristic, including age, color, disability, ethnicity, gender identity, marital status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any basis prohibited by the laws that govern its operations.