Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst

Express Solicitors
Manchester
1 day ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

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.


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 various 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 using data from various 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 of £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.
  • 3 holiday buybacks and an extra day for your birthday after service length requirement.
  • Private medical insurance available after 2 years’ service, annual flu jab and Employee Assistance Programme.
  • 24/7 onsite gym, netball/football team, 10 km Manchester team and more.
  • 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.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.