At a Glance
- Tasks: Analyse customer data to drive insights and inform business decisions.
- Company: Join a top-rated UK energy company focused on customer-centric solutions.
- Benefits: Enjoy part-time hours, hybrid work options, and a supportive team culture.
- Other info: Opportunity to work with a leading company recognised as one of the best places to work.
- Why this job: Make a real impact by transforming data into actionable insights for strategy.
- Qualifications: Experience in data analysis, proficiency in SQL and Excel required.
Job Description
This is a fantastic opportunity to join a high-impact project as a Data & Insight Analyst, contributing in a project capacity over an initial six-month period.
You’ll take ownership of key reporting and insights that inform operational and commercial decisions at the heart of a data-led, customer-centric Energy business. You’ll be analysing how customer activity – including debt – impacts the profit & loss (P&L), while working with detailed retail ledger data, such as sales, balances, payment histories, and defaults.
This role is perfect for someone passionate about transforming complex datasets into actionable insight, and helping shape future strategy.
Key Responsibilities
- Analyse how customer behaviours and debt trends affect the P&L
- Work with retail ledger records, including tracking of sales, balances, payment history, and defaulted payments
- Produce reports and metrics that reflect both financial performance and customer trends
- Support the development of strategic and analytical capabilities around customer and transactional data
- Provide real-time, proactive insight to drive smarter decisions
- Collaborate with internal teams to ensure data is accurate and actionable
Skills & Experience Required
- Proven experience in a data and insight-focused role
- Strong proficiency in SQL and Excel
- Experience with Power BI or Tableau (preferred)
- Confident with numerical analysis and strategic thinking
- Strong communication skills with the ability to engage and influence stakeholders
- Ability to turn complex data into simple, meaningful insight
- Experienced developing analysis to understand correlations between financial transactions, customer propensities and payment histories (transnational retail ledgers) - desirable
- UK Energy sector experience - desirable
Why Join?
- Work with one of the UK’s Sunday Times Top 100 Best Places to Work
- Join a positive, inclusive and collaborative team environment
- Part-time (2 days per week) with a hybrid working model
Data & Insights Analyst (PT) in Nottingham employer: MSA Data Analytics Ltd
Join a leading financial services organisation that prioritises employee development and fosters a collaborative work culture. As a Finance Analyst in this role, you will benefit from comprehensive training opportunities, a supportive team environment, and the chance to engage with various stakeholders, all while contributing to meaningful regulatory reporting initiatives. Located in a vibrant area, the company also offers competitive benefits and a commitment to work-life balance, making it an excellent choice for those seeking a rewarding career in finance.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Insights Analyst (PT) in Nottingham
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like MSA Data Analytics Ltd!
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data & Insights Analyst (PT) at MSA Data Analytics Ltd.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like MSA Data Analytics Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Data & Insights Analyst (PT) at MSA Data Analytics Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data & Insights Analyst (PT) in Nottingham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at MSA Data Analytics Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at MSA Data Analytics Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at MSA Data Analytics Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at MSA Data Analytics Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
