This range is provided by Express Solicitors. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base Pay Range
Job Title: Data Analyst
Location: Sharston, M22 4SN
Salary: £32,000 to £35,000 per annum, dependent on experience
Job type: Full time, Permanent
About Us
Established in 2000, Express Solicitors is an award‑winning law firm that deals with personal injury and clinical negligence claims. Based in Manchester, we serve clients nationwide and are currently ranked 64 out of more than 10,000 law firms. We have a 5‑star rating on Trustpilot from over 7,000 reviews, which comes from our clients and means a lot to us. We are proud of the work we do helping injured people, and this is the core of our business.
The Role
We are currently seeking an experienced Data Analyst who has successfully led projects and has considerable experience developing and presenting information using Microsoft Power BI to audiences at all levels.
The ideal candidate will have strong technical expertise in Power BI and be highly proficient in SQL.
The role will involve creating and maintaining business intelligence dashboards utilising data from various data sources for stakeholders at all levels.
Responsibilities
- Design, develop, and maintain dashboards, reports, and data models in Power BI.
- Build and optimise SQL queries to support analytics and reporting requirements.
- Collaborate with internal stakeholders to understand data needs and deliver actionable insights.
- Integrate data from multiple sources into the firm’s SQL data warehouse.
- Ensure data integrity, governance, and security are maintained in all solutions.
- Support the firm’s strategic initiatives by providing high‑quality analytics and visualisations.
Person Specification
Essential Skills & Experience
- Proven experience working as a Data Analyst, BI Developer, or similar role.
- Strong proficiency in SQL for querying, transforming, and managing data.
- Demonstrable experience with Power BI, including data modelling, DAX, and report/dashboard development.
- Strong analytical and problem‑solving skills, with the ability to translate business requirements into technical solutions.
- Experience working with data from multiple, disparate sources.
- Excellent communication skills, with the ability to present complex information in a clear, concise way to non‑technical stakeholders.
Desirable Skills & Experience
- Experience integrating data from external systems via APIs.
- Knowledge of Python, R, or similar languages for data manipulation and automation.
- Familiarity with data warehousing concepts, including star/snowflake schema design.
- Experience working in a professional services or legal sector environment.
- Understanding of data governance, compliance, and security best practices.
- Exposure to other Microsoft data tools such as Azure Data Factory or SQL Server Integration Services (SSIS).
Salary & Hours
- Salary: £32,000 to £35,000, dependent on experience.
- Standard working hours: 8:30 am to 5:30 pm Monday‑Thursday and 8:30 am to 5 pm Friday.
Benefits
- Hybrid Working – 3/2 hybrid working pattern after probation.
- 23 Days Holiday – Rising to 26 days, plus bank/public holidays.
- Extra Holidays – 3 holiday buy‑backs and an extra day for your birthday after service length requirement.
- Health – Private medical insurance available after 2 years' service, annual flu jab and Enterprise Assistance Programme.
- Well‑being – 24/7 onsite gym, netball/football team, 10 km Manchester team and more.
- Work Life / Balance – Active social committee with generous departmental and firm‑wide social budget.
Recruitment Process
Interviews will be conducted via MS Teams and will include scenario‑based questioning.
Our employees are our most important asset. We rate skill and ability above all else and our recruitment policy encourages applications from all backgrounds.
Please click APPLY to be redirected to our website to complete your application.
Candidates with relevant experience or job titles such as Data Analyst, Data Scientist, Data Engineer, Business Intelligence Analyst, Analytics Manager, IT Data Architect, BI Developer may also be considered for this role.
