At a Glance
- Tasks: Transform data into insights and create impactful reports and dashboards.
- Company: Join Age UK, a leading charity dedicated to supporting older people.
- Benefits: Hybrid working, skill development, and the chance to make a difference.
- Other info: 12-month contract with opportunities for growth and engagement.
- Why this job: Contribute to meaningful projects that improve lives across the UK.
- Qualifications: Analytical mindset and a passion for data-driven decision making.
The predicted salary is between 31500 - 38500 £ per year.
Age UK is seeking a Junior Data Analyst to join the Network Data & Insight team on a 12-month fixed term contract. You will help turn data into meaningful insights that support services for older people across the UK, working with multiple data sources and producing reports, dashboards and actionable recommendations.
This role offers a hybrid working arrangement with regular days in our London office; you will develop your analytical skills, engage with stakeholders, and contribute to funded projects.
Junior Data Analyst Insights & Power BI Dashboards (Hybrid) employer: Age Uk
Age UK is an exceptional employer, offering a supportive and inclusive work environment in Sunderland where you can make a real difference in the lives of older people. With competitive salaries, generous annual leave, and a range of wellbeing initiatives, employees are encouraged to grow and thrive both personally and professionally. Join our dedicated team and enjoy unique benefits like the Blue Light Card scheme and recognition awards, all while contributing to a meaningful cause.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Analyst Insights & Power BI Dashboards (Hybrid)
✨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 Age Uk 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 Age Uk.
✨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 Age Uk.
We think you need these skills to ace Junior Data Analyst Insights & Power BI Dashboards (Hybrid)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Age Uk, 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 Age Uk, 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 Age Uk’s attention and show the tangible impact of your work.
How to prepare for a job interview at Age Uk
✨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 Age Uk.
✨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 Age Uk.
✨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 Age Uk.
