Data Quality Analyst | Hybrid Role with Growth & Bonus

Center Parcs group

Newark on Trent

Hybrid

GBP 30,000 - 36,000

Full time

2 days 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 in the UK is seeking a Data Quality Analyst to improve the validity, reliability and accessibility of data across our data warehouse and data lake. You’ll combine hands-on analysis with data stewardship, automation and cross‑functional collaboration to build trust in our data.

You will monitor data ingestion, develop quality scoring, automate checks and create dashboards that show data health to data owners and teams.

Qualifications

  • Experience with SQL/Excel for data extraction, profiling and validation.
  • Experience with Python or scripting to automate data tasks and dashboards.
  • Proven ability to identify data issues and work with stakeholders to implement improvements.

Responsibilities

  • Data Quality Monitoring & Analysis: carry out checks across data warehouse and data lake, investigate failures and root-cause issues.
  • Data Stewardship & Trust: develop data quality scoring, maintain data catalogue and define ownership sources of truth.
  • Automation & Reporting: automate checks and alerts, propose improvements to strengthen data quality.
  • Reporting & Insight: define and report data quality measures via dashboards for data owners.
  • Stakeholder Collaboration: work with Data team and business stakeholders to translate governance policies into processes.

Skills

SQL
Excel
Python

Tools

Qlik

Job description

Center Parcs in the UK is seeking a Data Quality Analyst to improve the validity, reliability and accessibility of data across our data warehouse and data lake. You’ll combine hands-on analysis with data stewardship, automation and cross‑functional collaboration to build trust in our data.

You will monitor data ingestion, develop quality scoring, automate checks and create dashboards that show data health to data owners and teams.

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