At a Glance
- Tasks: Analyse data to improve digital forms and enhance customer experience.
- Company: Global recruitment specialist with a focus on innovation and collaboration.
- Benefits: Competitive daily rate, flexible work environment, and opportunity for professional growth.
- Other info: Fast-paced role with opportunities to innovate and develop your skills.
- Why this job: Join a dynamic team and make a real impact on data-driven projects.
- Qualifications: Experience in data analysis within a government environment is essential.
The predicted salary is between 60000 - 70880 £ per year.
We are a Global Recruitment specialist that provides support to clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
Duration: 6 months
Location: Telford - 2 days onsite
Rate: 402 GBP/Day (Inside IR35)
Description and Location:
The gForms team use an in-house tool to rapidly develop digital forms. The multidisciplinary teams utilise key technologies which include Upscan, Kana, Scala, the GDS prototyping kit and Legup.
This is an exciting role for a Performance Analyst who wants to help an important, busy delivery team improve how it uses data to shape and assess the 'always full' pipeline of customer facing digital forms. It's an area which does have delivery commitments but also lots of opportunity to play and innovate with data. The aspiration is that the new team will have data as a beating heart.
This role will also work closely with the client Senior Performance Analyst in the Forms Landscape who is transforming how data is collected. The role will involve working with stakeholders to establish data frameworks for individual forms to allow us to track performance across the forms journey, not just building queries from specifications.
There are forms that cover every business & customer process in the client - so exploring their data - and how this ties into operational data like calls and case working efficiency is part of the bigger picture.
The role requires experience in a government environment and service standards. The area is fast-paced, with a short delivery lifecycle and requires someone who is able to context switch quickly and effectively.
If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often shortlisted within 48 hours.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst/Performance Analyst in Newport
✨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 eTeam 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 eTeam.
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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 eTeam.
We think you need these skills to ace Data Analyst/Performance Analyst in Newport
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at eTeam, 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 eTeam, 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 eTeam’s attention and show the tangible impact of your work.
How to prepare for a job interview at eTeam
✨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 eTeam.
✨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 eTeam.
✨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 eTeam.
