£55 Per hour
Undetermined
Hybrid
Manchester (M1)
Summary: The Data Manager role focuses on enhancing data quality and governance within a global travel leader's Data Governance team. This position requires collaboration with technical teams and business stakeholders to ensure data is standardized and optimized. The role involves automating data quality checks, maintaining governance documentation, and analyzing datasets to assess the impact of data issues. The position is based in Manchester and operates in a hybrid working environment.
Key Responsibilities:
- Automating data quality checks and creating reports to identify root causes of data issues.
- Maintaining data dictionaries, business glossaries, and end-to-end data lineage.
- Partnering with Data Engineers and Product Managers to improve data products and ensure regulatory compliance.
- Profiling complex datasets to quantify the business impact of data failures.
Key Skills:
- Proficient in SQL and Python for data analysis and profiling.
- Experience with Tableau or PowerBI for data visualization.
- 1-3 years of experience in Data Governance, MDM, or lifecycle management.
- Strong understanding of Data Warehouse vs. Data Lake architectures and ETL workflows.
- Ability to translate technical data issues into actionable business insights for senior stakeholders.
Salary (Rate): £55 per hour
City: Manchester
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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 lifecycle 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.