At a Glance
- Tasks: Enhance Customer Service reporting and build reusable datasets in AWS QuickSight.
- Company: Join Form3, a forward-thinking company focused on data-driven solutions.
- Benefits: Flexible remote work, competitive pay, and valuable experience in data analytics.
- Other info: Six-month contract with opportunities for future scalability and growth.
- Why this job: Make a real impact by improving data quality and automating reporting processes.
- Qualifications: Experience with data analysis and familiarity with AWS QuickSight preferred.
The predicted salary is between 31500 - 38500 £ per year.
Form3 is seeking a Reporting & Data Analyst for a six‑month fixed-term contract to enhance Customer Service reporting in AWS Quick Sight and to build trusted, reusable datasets for self‑service analytics across the organization.
You will work across teams to improve data quality, automate reporting, and document governance and knowledge transfer for future scalability, delivering within a focused six‑month engagement.
Remote Data & Reporting Analyst — AWS QuickSight employer: Form3
Form3 is an exceptional employer that prioritises innovation and collaboration within the dynamic field of cloud-native payments. With a strong focus on employee growth, we offer extensive opportunities for professional development and a supportive work culture that values teamwork and creativity. Located in the UK, our team enjoys a flexible working environment, competitive benefits, and the chance to contribute to cutting-edge security enhancements that shape the future of financial technology.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data & Reporting Analyst — AWS QuickSight
✨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 Form3 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 Form3.
✨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 Form3.
We think you need these skills to ace Remote Data & Reporting Analyst — AWS QuickSight
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Form3, 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 Form3, 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 Form3’s attention and show the tangible impact of your work.
How to prepare for a job interview at Form3
✨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 Form3.
✨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 Form3.
✨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 Form3.
