More jobs:
Data Analyst
Job in
Nottingham, Nottinghamshire, NG1, England, UK
Listed on 2026-02-16
Listing for:
Computappoint
Full Time, Part Time
position Listed on 2026-02-16
Job specializations:
-
IT/Tech
Data Analyst, Data Engineer
Job Description & How to Apply Below
Base pay range
Data Analyst – Permanent – Hybrid – Central London
- Opportunity: Permanent position
- Salary: Up to £65,000 per annum (DOE)
- Hybrid: 50% onsite (5 days over 2 weeks, minimum 2 days per week)
- Office
Location:
Central London
A leading law and professional services organisation is looking for a technically proficient Data Analyst to join the IT Department within the Strategy & Architecture Team. This role will have a strong focus on API design and integrations between systems. This role is critical in enabling data-driven decision-making and ensuring seamless data exchange across internal systems and external platforms.
Key Responsibilities- Analyse and interpret complex datasets to support IT operations and strategic initiatives.
- Design, document, and maintain APIs that facilitate secure and efficient integration of data between systems.
- Create data dictionaries that describe data structures, elements, their meanings, and relationships within a dataset or database.
- Create Business Glossary and describe business terms, and their definitions, ensuring they are consistent across the enterprise.
- Champion the standardization of data documentation across projects and teams.
- Document all levels of data-related concepts - models, table, column, business terms. Ensure all documentation covers the full spectrum of data analysis, from high-level models down to individual fields.
- Demonstrated experience in data analysis within an IT or technical environment.
- Strong proficiency in SQL and scripting languages including Python or R.
- Practical experience with RESTful API design, documentation (e.g. Swagger/OpenAPI), and testing tools (e.g. Postman).
- Working knowledge of cloud platforms (primarily Azure) and associated data services.
- Strong understanding of data modelling, ETL workflows, and system integration.
- Mid‑Senior level
- Full-time
- Information Technology
- Financial Services and Legal Services
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