At a Glance
- Tasks: Analyse business data and create insightful reports to drive decision-making.
- Company: Leading banking institution with a focus on innovation and data-driven solutions.
- Benefits: Competitive pay, hands-on experience, and the chance to work in a dynamic environment.
- Other info: 100% onsite role in London with opportunities for professional growth.
- Why this job: Join a fast-paced team and make an impact in the banking sector through data analysis.
- Qualifications: Experience in data analysis, SQL, and strong problem-solving skills required.
The predicted salary is between 45000 - 55000 £ per year.
Job Type: Contract (Inside IR 35)
Job Location: London (5 days onsite every week - 100% onsite)
Domain: Banking or Investment Banking
Duration: 6 months to begin with
Required qualifications, capabilities & skills:
- Formal training or certification on data engineering concepts and applied experience
- Recent hands-on professional experience in a reporting, data analysis or business intelligence role
- Experience in database querying techniques and SQL
- Understanding of how to manage and optimize queries for large volumes of data within different kinds of data stores (including relational data stores)
- Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.)
- Experience in working with technical data formats (JSON / Avro / Parquet)
- Strong analytical and problem-solving skills
- Experience in explaining and converting complex concepts into digestible information to be consumed by both technical and business stakeholders
- Attention to detail and commitment to maintaining data quality
- Excellent written and verbal communication skills in English
Preferred qualifications, capabilities & skills:
- Experience in working in a highly regulated environment / industry
- Understanding of data warehousing concepts and ETL processes
- Understanding of event-based architecture, data streaming and messaging frameworks
- Experience in data analysis using Python programming language
- Understanding of data governance frameworks
- Understanding of AWS cloud technologies
StudySmarter Expert Advice🤫
We think this is how you could land Business Data Analyst in City of London
✨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 alphayotta 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 alphayotta.
✨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 alphayotta.
We think you need these skills to ace Business Data Analyst in City of London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at alphayotta, 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 alphayotta, 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 alphayotta’s attention and show the tangible impact of your work.
How to prepare for a job interview at alphayotta
✨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 alphayotta.
✨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 alphayotta.
✨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 alphayotta.
