Data Manager

Randstad UK
Manchester, United Kingdom
4 days ago

Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Manchester, United Kingdom

Tech stack

Profiling
Data Dictionary
Data Governance
ETL
Data Warehousing
Python
Power BI
Standard Sql
Tableau
Technical Data Management Systems
Data Lake
Data Lineage

Job description

Data Manager (Data Governance)

Location: Manchester (Hybrid)

Contract Duration: 6 months

Working Hours: 37.5 hours per week

We are looking for a proactive Data Manager to join a global travel leader's Data Governance team. This role is pivotal in supporting the growth of a key business vertical by ensuring data is high-quality, standardized, and architecturally optimized. The Role

Working within an Agile environment, you will bridge the gap between technical teams and business stakeholders. You will be responsible for:

  • Data Quality: Automating DQ checks and creating reports to identify root causes of data issues.
  • Governance: Maintaining data dictionaries, business glossaries, and end-to-end data lineage.
  • Collaboration: Partnering with Data Engineers and Product Managers to improve data products and ensure regulatory compliance.
  • Analysis: Profiling complex datasets to quantify the business impact of data failures.

Requirements

  • Technical Skills: Proficient in SQL and Python for data analysis and profiling.
  • Visualization: Experience with Tableau or PowerBI.
  • Governance Expertise: 1-3 years of experience in Data Governance, MDM, or life cycle management.
  • Concepts: Strong understanding of Data Warehouse vs. Data Lake architectures and ETL workflows.
  • Communication: Ability to translate technical data issues into actionable business insights for senior stakeholders.

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Requirements

  • Technical Skills: Proficient in SQL and Python for data analysis and profiling.
  • Visualization: Experience with Tableau or PowerBI.
  • Governance Expertise: 1-3 years of experience in Data Governance, MDM, or life cycle management.
  • Concepts: Strong understanding of Data Warehouse vs. Data Lake architectures and ETL workflows.
  • Communication: Ability to translate technical data issues into actionable business insights for senior stakeholders.

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