At a Glance
- Tasks: Transform data into actionable insights to drive business performance and efficiency.
- Company: Dynamic company offering a blend of office and remote work.
- Benefits: Flexible working arrangements, competitive pay, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and innovation.
- Why this job: Make a real impact by turning data into strategic recommendations.
- Qualifications: Strong analytical skills and a knack for translating data into business insights.
The predicted salary is between 29700 - 36300 £ per year.
- Data Insights Analyst
- Contract - 6 months
- Theale/Home – 3 days a week in the office, 2 from home
We're looking for a Data Insights Analyst to turn data into meaningful commercial and operational insight.
You'll be responsible for gathering and analysing data from multiple sources to identify opportunities to improve efficiency, reduce costs, optimise resources and drive commercial performance.
This is a role for someone who can go beyond reporting — using data to understand what is happening, why it is happening, what it means financially, and what the business should do next.
Key Responsibilities
- Gather, integrate and validate data from multiple systems and sources to create reliable datasets.
- Analyse data to identify trends, inefficiencies, waste and opportunities for cost reduction and margin improvement.
- Quantify the financial and operational impact of identified opportunities.
- Identify resource inefficiencies and recommend practical actions to improve performance.
- Develop clear, insight-led reports, dashboards and visualisations to support business decision-making.
- Work closely with stakeholders to understand processes, challenges and improvement opportunities.
- Translate complex data into clear, actionable recommendations for technical and non-technical audiences.
- Support the implementation of process and system improvements driven by data insights.
What We're Looking For
We're looking for an analytical and commercially minded individual who can combine strong data analysis with practical business thinking.
You'll need to be comfortable working with multiple data sources, identifying patterns and opportunities, communicating findings clearly, and turning analysis into measurable business improvements.
If you enjoy asking "what does the data tell us, why does it matter, and what should we do about it?", this could be an excellent opportunity.
Data Insights Analyst in Reading employer: Project People
Project People is an exceptional employer that prioritises employee experience and professional growth, making it an ideal place for HR professionals looking to make a meaningful impact. Located in the vibrant city of Glasgow, we offer a collaborative work culture that fosters innovation and continuous improvement, alongside a hybrid working model that promotes work-life balance. Our commitment to developing talent ensures that employees have ample opportunities for advancement within a supportive and dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Insights Analyst in Reading
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Project People before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Project People.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Project People.
We think you need these skills to ace Data Insights Analyst in Reading
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Project People, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Project People, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Project People’s attention and show the tangible impact of your work.
How to prepare for a job interview at Project People
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Project People.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Project People.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Project People.
