At a Glance
- Tasks: Analyse data to identify trends and provide actionable insights.
- Company: Exciting tech organisation at the forefront of AI and digital content.
- Benefits: Competitive salary, hybrid work, and great benefits.
- Other info: Opportunity to grow in a fast-paced, innovative environment.
- Why this job: Join a dynamic team and make impactful decisions through data.
- Qualifications: Strong analytical skills and experience with Excel and data visualisation tools.
The predicted salary is between 31500 - 38500 £ per year.
- Data Analyst
- London | Hybrid | 6-Month FTC | £60,000 - £70,000 + Benefits
If you love data, Excel and figuring things out , keep reading.
We're partnering with a hugely exciting, well-backed organisation operating at the intersection of technology, AI, data and digital content .
They're looking for a genuinely analytical
Data Analyst to join the team.
This is for someone who enjoys getting into data, interrogating it, spotting patterns and ultimately helping a business make better decisions.
What will you be doing?
- Analysing customer, commercial and platform data
- Identifying trends, patterns, anomalies and opportunities
- Building dashboards and KPI reporting
- Turning complex data into clear, useful insights
- Helping stakeholders understand what the data is telling them
- Using data to solve business problems and support decisions
What are we looking for?
We want someone with a proper analytical brain .
You don't need to know every answer. What's more important is that when you're given a problem, you have a structured and logical approach to working it out.
You'll ideally have
- Experience in a Data Analyst, Business Analyst or similar analytical role
- Advanced Excel skills
- Power BI / data visualisation experience
- Strong numerical and problem-solving skills
- Experience interrogating datasets and generating meaningful insight
- The ability to explain complicated data simply
Experience in technology, digital, platforms, AI or a scale-up would be brilliant, but isn't essential.
Ultimately, we're looking for someone who loves data and loves solving problems .
Someone who doesn't just tell us what happened.
They want to work out why it happened and what we should do next
Data Analyst in Slough employer: We Do Group
We Do Group is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation within the education sector. Employees benefit from comprehensive professional development opportunities and a supportive environment that values organisational change, making it an ideal place for those looking to make a meaningful impact in HR transformation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Slough
✨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 We Do Group 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 We Do Group.
✨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 We Do Group.
We think you need these skills to ace Data Analyst in Slough
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at We Do Group, 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 We Do Group, 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 We Do Group’s attention and show the tangible impact of your work.
How to prepare for a job interview at We Do Group
✨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 We Do Group.
✨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 We Do Group.
✨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 We Do Group.
