Trainee Data Analyst

Wythenshawe
2 months ago
Applications closed

Related Jobs

View all jobs

Trainee Data Analyst Programme (Hiring Immediately)

Data Analyst Trainee (Hiring Immediately)

Data Analyst Trainee (Hiring Immediately)

Data Analyst Trainee - Comprehensive Online Training (Hiring Immediately)

Entry-Level Data Analyst Trainee (Hiring Immediately)

Data Analyst Trainee - Comprehensive Placement Program (Hiring Immediately)

Job Title: Trainee Data Analyst
Location: Sharston, M22 4SN
Salary: £30,000 per annum
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 70 out of more than 10,000 law firms. We have a 5-star rating on Trustpilot from over 6,500 reviews, which coming from our clients means a lot to us. We are proud of the work we do helping injured people, and this is the core of our business.
About the Role:
Express Solicitors is currently looking to appoint a Trainee Data Analyst reporting directly into the Head of Department. Any experience working with business reporting 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 understand data needs and ensure the accuracy and relevance of reports.
  • Where required analysis of 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 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.
  • Experience extracting, analysing, converting and presenting data
  • Proficient with IT.
  • Basic SQL skills
  • Excellent organisation and time management skills.
    Preferred:
  • Recent completion of a relevant degree is desirable.
  • Knowledge of coding in Python or similar coding languages is desirable.
    Salary & Hours:
  • Salary of £30,000
  • 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 experience or relevant job titles of; Legal Data Analyst, Data Solutions Analyst, Data Insight Analyst, IT Analyst may also be considered for this role

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Jobs

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Jobs Careers

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Jobs

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.