Data Analyst
Why This Role Stands Out
This hybrid Data Analyst role at an award-winning, top-ranked law firm offers you the opportunity to drive business insights and contribute to data strategy, with a competitive salary of £40,000 - £45,000. You'll thrive here if you are a detail-oriented professional eager to leverage your analytical skills within a supportive and growing organization. Apply today to join a reputable firm known for its excellent client care and achieve significant career growth.
Quick Overview
Job Description
Job Title: Data Analyst
Location: Sharston, Manchester M22 4SN
Salary: £40,000 - £45,000 per annum
Job type: Full Time, Permanent
About Us:
Established in 2000, Express Solicitors is an award-winning, no win no fee law firm specialising exclusively in personal injury claims. Headquartered in Manchester, we support clients nationwide across all areas of personal injury, including employers' liability, serious injury, clinical negligence, occupiers' and public liability, road traffic accidents and industrial disease.
We are ranked 64th in The Lawyer UK Top 200, out of more than 10,000 law firms nationwide, and after achieving a 20% year-on-year growth, Express Solicitors are the largest personal injury claimant firm in the UK.
Our commitment to outstanding client care is reflected in our Trustpilot rating of 4.8 (Excellent), placing us among the highest-rated firms in the sector.
The Role:
Express Solicitors is currently looking to appoint a Data Analyst reporting directly into the Head of Department. Any experience working with within a Legal environment and Proclaim case management system will be a distinct advantage.
The role's focus will be to provide support to the business in the production of business information reports, both through fixed MI channels and ad hoc reporting requests by designing and writing efficient queries to extract, analyse, and present information from various data sources.
Responsibilities:
- Development, production and distribution of reports and dashboards to our clients within service level agreements.
- Contribute to the development of data strategy.
- Collaborate with different departments to gather requirements on MI needs then produce reports, with focus on accuracy, integrity and relevance.
- Pro-active approach to analysing produced data to provide actionable insights.
- Provide support to assist in the interpretation of reports, dashboards, and insights.
- Interrogation of various databases using SQL and T-SQL and other common query languages.
Person Specification:
Essential:
- Experience of dealing with data within a commercial organisation.
- Ability to work on multiple projects simultaneously.
- Being able to learn, adapt and work within in a fast-paced environment.
- Develop relationships with stakeholders.
- Experience extracting, analysing, converting and presenting data through the Power BI platform.
- Proficient with IT.
- Excellent SQL query writing skills.
- Excellent organisation and time management skills.
Preferred:
- Completion of a relevant degree is desirable.
- Knowledge of coding in Python or similar coding languages is desirable
Salary & Hours:
- Salary of £40,000 - £45,000
- Our standard working hours are 8:30am to 5:30pm Monday-Thursday and 8:30am to 5pm 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.
- Looking After Your Health - Private medical insurance available after 2 years' service, annual flu jab and Employee Assistance Programme.
- Looking After Your Well-being - 24/7 onsite Gym, Netball/Football team, 10km Manchester team and more.
- Work Life / Balance - Active social committee with generous departmental and firm-wide social budget.
Recruitment Process:
Interviews will be conducted by 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.
Please click APPLY to be redirected to our website to complete your application.
Candidates with the relevant experience or job titles of; Data analysis, Data science, Data Engineer, Business Intelligence Analyst, Analytics Manager, IT Data architect, BI Developer may also be considered for this role.
Skills
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