Data Quality Analyst – Hybrid Role with Growth & Benefits

Center Parcs

Newark and Sherwood

Hybrid

GBP 30,000 - 36,000

Full time

35 hours ago
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Benefits offered by this job

Bonus Scheme
Pension & Life Assurance
Recognition & Rewards
Free Day Passes
Discounted Breaks
20% Off Food & Retail
Perks at Work
Employee Assistance Programme
Career Development

Job summary

Center Parcs is seeking a Data Quality Analyst for Forest House with a salary of £30,000–£36,000 depending on experience. The role is hybrid, with typical in-office days and remote work options.

You will monitor data quality across the data warehouse and data lake, contribute to data governance, and drive automation to improve accuracy and insight for the business. The team focuses on delivering trustworthy data, collaborating with stakeholders to translate governance into practical, scalable

Qualifications

  • Data analysis capability with SQL and Excel to extract, analyse and assess data.
  • Automation and reporting using Python to automate data tasks and build dashboards.
  • Evidence of data quality delivery and root-cause analysis with stakeholder collaboration.

Responsibilities

  • Data Quality Monitoring & Analysis across data warehouse and data lake.
  • Data Stewardship: maintain data catalogue, definitions and ownership.
  • Automation & Reporting: develop dashboards and automated checks.
  • Stakeholder Collaboration: translate governance policies into practical processes.

Skills

Data Analysis
SQL
Excel
Data Profiling

Tools

Python
Qlik

Job description

Center Parcs is seeking a Data Quality Analyst for Forest House with a salary of £30,000–£36,000 depending on experience. The role is hybrid, with typical in-office days and remote work options.

You will monitor data quality across the data warehouse and data lake, contribute to data governance, and drive automation to improve accuracy and insight for the business. The team focuses on delivering trustworthy data, collaborating with stakeholders to translate governance into practical, scalable

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