At a Glance
- Tasks: Support and maintain core business systems while driving digital transformation projects.
- Company: Ambitious professional services organisation with a focus on growth and development.
- Benefits: Up to £31,000 salary, genuine 4-day working week, and ongoing training.
- Other info: Great career progression opportunities and exposure to modern technologies.
- Why this job: Join a supportive team and make a real impact on exciting projects.
- Qualifications: Degree in a numerate subject or relevant experience; strong Excel skills required.
The predicted salary is between 31000 - 31000 £ per year.
Little Eaton
Up to £31,000
4-Day Working Week
Looking to kick-start or develop your career in data and systems with a business that invests in your future? An ambitious and growing professional services organisation is looking for a Data & Systems Analyst to join its central team in Little Eaton. This is a fantastic opportunity to work on exciting business transformation projects, develop highly sought-after technical skills, and enjoy genuine career progression in a supportive environment. With a 4-day working week, you'll have more time to enjoy life outside of work while continuing to build your career.
The Role
As a Data & Systems Analyst, you'll play a key role in supporting the organisation's systems, data and digital transformation projects. You'll help maintain core business systems, improve data quality, build reports and dashboards, and support the integration of newly acquired businesses. This is a varied role that combines technical problem-solving, data analysis and systems administration, making it ideal for someone who enjoys learning new technologies and finding smarter ways of working.
What You’ll Be Doing
- Supporting and maintaining core business systems.
- Managing user access and system permissions.
- Cleaning, validating and migrating data from multiple sources.
- Building and maintaining dashboards and management reports.
- Identifying opportunities to automate manual processes.
- Supporting business acquisitions by integrating systems and data.
- Troubleshooting system and data issues for internal users.
- Working with colleagues across the business to improve processes and data quality.
- Contributing to ongoing digital transformation projects.
About You
We’re looking for someone who has:
- A degree in a numerate subject or equivalent relevant experience.
- Excellent Excel skills, including functions such as XLOOKUP, INDEX/MATCH, SUMIFS and Pivot Tables.
- A logical and analytical approach to problem-solving.
- Strong attention to detail and a passion for working with data.
- Excellent organisational and communication skills.
- A proactive attitude and willingness to learn new technologies.
- An interest in systems, automation and reporting.
- Experience with Power BI, SQL, Python, systems administration or data migration would be advantageous but isn’t essential—we’re looking for someone with the right attitude and a desire to develop.
What’s on Offer?
- Salary up to £31,000
- Genuine 4-day working week
- Clear career progression with opportunities to grow as the business expands.
- Ongoing training and professional development.
- Exposure to modern systems, automation and business intelligence tools.
- The opportunity to be involved in large-scale digital transformation and acquisition projects.
- A collaborative, supportive team where your ideas are encouraged and valued.
If you’re looking for a role where you can develop your technical skills, make a real impact and build a long-term career within a growing organisation, we’d love to hear from you. Apply today to find out more about this exciting opportunity.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Systems Analyst in Little Eaton
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We think you need these skills to ace Data & Systems Analyst in Little Eaton
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!
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Craft a Tailored Cover Letter:For a full-time role at Nuvo Hiring, 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 Nuvo Hiring. 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 Nuvo Hiring
✨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!
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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 Nuvo Hiring!
✨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.
