Junior Data Analyst

Litherland
1 month ago
Applications closed

Related Jobs

View all jobs

Junior Data Analyst

Associate, Data Science Analyst – Global Oil Markets (Hybrid - 3/2 Work Schedule)

Senior Data Analyst - Pricing Data Engineering & Automation, CUO Global Pricing

Associate Director, Business Intelligence (Basé à London)

Senior Data Scientist

Software Engineer

About The Role
M Group 
Right across infrastructure, there’s a requirement to not only maintain, but also renew and reimagine. Whatever stage you’re at in your career, with us you’ll have an opportunity to grow and develop. Delivering essential infrastructure services for life, while being safety first, and client and customer centric in a friendly, fun and respectful environment where you are encouraged to thrive.  
Where will you be working? 
M Group Energy 
At M Group Energy, we’re enabling the energy essential to support our lives.  
We provide an end-to-end service, delivering solutions in electricity transmission, distribution, renewable energy, EV, metering and home decarbonisation. 
Are you ready for the next step in your career?
This role is part of our E.ON Smart Metering contract based in Bootle. You'll be a key player in our MI & Reporting Team, providing essential Management Information reporting that drives strategic business decisions and performance analysis.
Your role will ensure robust data management, helping us innovate and optimise our smart metering solutions.
Want to come and be a part of it? 
What you’ll be doing
In this role, you'll create, maintain, and update Management Information (MI) reports daily, weekly, and monthly. You'll support Field and Back Office Management teams with strategic info, validate and correct MI, and conduct analysis to spot risks and opportunities.
Building and testing reports, documenting processes, and assisting with ad-hoc requests will be key tasks.
You'll maintain business contacts, meet reporting deadlines, and monitor Field Operations safety targets. Building strong relationships with stakeholders and Smart Metering Contract team members will be essential.
Your contributions will drive the team's efficiency and effectiveness.
What you’ll bring
Intermediate to advanced Excel knowledge and MS Office
Proven, strong analytical background and robust problem-solving methodology
Understanding of Field Operations business and stakeholders to show impact of decisions
Logical and organised with the ability to prioritise workload and meet challenging deadlines
Good stakeholder management skillsDesirable:

Experience with Power BI
Experience with DAX (Data Analysis Expressions)
Experience with SQL
Experience with Visual BasicWhat’s in it for you?
We offer a range of benefits designed to support your life in and out of work, some of which include; 

Matched or contributory pension scheme 

Online GP service, 24 hours a day, 365 days a year   

Employee assistance programme  

My Rewards portal, access to 1000’s of retail discounts  

Life assurance 

Cycle to work, salary finance and give as you earn schemes 

Enhanced maternity, paternity leave and adoption leave  

Reward and recognition scheme  In addition, this role offers; 

25 days annual leave plus bank holidays  

Recommend a friend – get rewarded for introducing people to us!   Please note: Occasionally, job adverts might be closed before the stated closing date. Do apply as soon as possible to ensure your application is considered. 
For certain roles, successful candidates will be subject to 3rd party background checks as part of the hiring process. Some roles require drug and alcohol testing as part of induction and onboarding. 
#MGroupE #LI-LP1 #LI-Onsite

About The Company
We want to be an employer of choice and a great place to work, attracting diverse and talented people, who join us and make a difference. We are one of the Top 100 UK companies actively supporting and recruiting army veterans. Our ENABLE inclusion networks bring together people who have a shared passion, to help create an environment where everyone belongs. 
Our values help to shape our culture and how we work with one another. We recruit with these values in mind, to ensure your aspirations, and ways of working, align with ours.
We’re responsible and go further for our people, clients, communities and the planet
We’re open and seek new and better ways of exceeding expectations
We’re together and as one team; the whole is greater than the sum of the parts
We’re ambitious and embrace opportunity, to lead essential infrastructure services for lifeWhether you’re a trainee, apprentice or graduate, or progressing through your career, our people benefit from industry recognised programmes, training and development.
It’s an exceptional time to be a part of M Group

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.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.