At a Glance
- Tasks: Analyse large datasets and create insightful dashboards using AWS, SQL, and BI tools.
- Company: Gazelle Global, a leader in financial services transformation.
- Benefits: Flexible hybrid work, competitive pay, and opportunities for professional growth.
- Other info: 6-month contract with potential for future opportunities.
- Why this job: Join a dynamic team and make an impact on major financial projects.
- Qualifications: Experience with AWS, SQL, and data visualisation tools like Tableau or Power BI.
The predicted salary is between 35000 - 45000 £ per year.
Gazelle Global is seeking an experienced AWS Data Analyst for a major financial services transformation project on a 6-month contract. This hybrid role requires 2 days on-site weekly in London or Edinburgh.
The role involves analyzing large datasets, building data cohorts with AWS and SQL, and delivering insights. You will create dashboards with Tableau/Power BI/QuickSight and collaborate across data teams with strong QA and documentation practices.
#J-18808-LjbffrHybrid Data Analyst — AWS/SQL & BI Dashboards (6‑month) employer: Gazelle Global
Join a leading organisation at the forefront of cyber security transformation in London, where you will play a pivotal role in delivering critical initiatives. Our collaborative work culture fosters innovation and growth, offering ample opportunities for professional development and advancement within a dynamic environment. With competitive rates and a commitment to employee well-being, we ensure that our team members thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data Analyst — AWS/SQL & BI Dashboards (6‑month)
✨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 Gazelle Global 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 Gazelle Global.
✨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 Gazelle Global.
We think you need these skills to ace Hybrid Data Analyst — AWS/SQL & BI Dashboards (6‑month)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Gazelle Global, 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 Gazelle Global, 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 Gazelle Global’s attention and show the tangible impact of your work.
How to prepare for a job interview at Gazelle Global
✨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 Gazelle Global.
✨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 Gazelle Global.
✨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 Gazelle Global.
