Data Analyst
Posted 4 days ago by Careerwise
£63 Per hour
Outside
Hybrid
Manchester Area, United Kingdom
Summary: The Data Analyst role involves supporting a major pharmaceutical organization on a long-term data initiative, focusing on managing and analyzing data issues across multiple systems. The position requires collaboration with technical and scientific stakeholders to ensure data quality and alignment. The role is primarily remote/hybrid with occasional visits to the Manchester area. Candidates should have a strong background in data analysis, particularly within the life sciences or regulated industries.
Key Responsibilities:
- Manage, track, and prioritise data issues across multiple systems
- Review new data problems, analyse impact, and define clear use cases
- Investigate whether issues relate to source systems, processes, or data definitions
- Support alignment of master and reference data across various platforms
- Validate data decisions and mappings with technical and scientific stakeholders
- Track risks and highlight unresolved or complex issues
- Prepare concise summaries for leadership and project governance forums
Key Skills:
- Strong background in data analysis, data quality, or master/reference data
- Experience working with complex data sets and cross-functional teams
- Ability to identify patterns, gaps, and root causes
- Excellent communication skills with both business and technical teams
- Life sciences or regulated-industry experience is highly desirable
- Experience in life sciences, pharma manufacturing (MUST)
Salary (Rate): £63.00/hr
City: Manchester Area
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: Other
Role: Data Analyst
Rate: £500/day
Outside IR35
Location: Remote/Hybrid— occasional visits to the Manchester Area
Duration: Long-term programme
We’re supporting a major pharmaceutical organisation on a data initiative and are looking for an experienced Data Analyst to join the team.
Key Responsibilities
- Manage, track, and prioritise data issues across multiple systems
- Review new data problems, analyse impact, and define clear use cases
- Investigate whether issues relate to source systems, processes, or data definitions
- Support alignment of master and reference data across various platforms
- Validate data decisions and mappings with technical and scientific stakeholders
- Track risks and highlight unresolved or complex issues
- Prepare concise summaries for leadership and project governance forums
What We're Looking For
- Strong background in data analysis, data quality, or master/reference data
- Experience working with complex data sets and cross-functional teams
- Ability to identify patterns, gaps, and root causes
- Excellent communication skills with both business and technical teams
- Life sciences or regulated-industry experience is highly desirable
- Experience in life sciences , pharma manufacturing (MUST)
Working Model
Remote/Hybrid
Why Join?
You’ll be part of a multi-year data modernisation programme with significant visibility and strategic importance.
Apply now