Data Analyst

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

About the Role and Client

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.

Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Financial Services and Legal Services

• 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.