At a Glance
- Tasks: Analyse data and design Azure Data Warehouses for impactful projects.
- Company: Join a leading firm in the financial services sector with a focus on innovation.
- Benefits: Competitive daily rate, hybrid working, and opportunities for professional growth.
- Other info: Collaborative environment with a strong focus on equal opportunities.
- Why this job: Make a difference in data analysis while working with cutting-edge technologies.
- Qualifications: Experience with Azure, Snowflake, and data analysis in financial services.
The predicted salary is between 42900 - 42900 £ per year.
Data Analyst / Data Business Analyst with Azure Data Factory, Snowflake and Star/Medallion Architecture. 550/day Inside IR35, 6 month contract, London/City (Hybrid working 2 days in the London office per week).
Responsibilities & Requirements
- Data analysis around Azure Datawarehouse design and implementations.
- Work with Azure Data Factory and ETL processes.
- Experience with Snowflake / Star/Medallion schemas.
- Familiarity with Geospatial Data / Geo Location Data in an insurance context.
- Collaborate with Data Engineering team on large scale data warehouse projects.
- Strong Azure experience and knowledge of financial services, preferably insurance.
- Hybrid work arrangement: 2 days in London per week.
Equal Opportunities
The Adecco Group UK & Ireland is an Equal Opportunities Employer.
Data Analyst / Data Business Analyst London £550/d inside IR35 employer: Adecco
At The Adecco Group UK & Ireland, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation. With a strong focus on employee growth, we provide opportunities for professional development in the heart of London, allowing our Data Analysts to thrive in a hybrid working environment while engaging with cutting-edge technologies like Azure and Snowflake. Join us to be part of a diverse team that values equal opportunities and is committed to making a meaningful impact in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst / Data Business Analyst London £550/d inside IR35
✨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 Adecco 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 Adecco.
✨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 Adecco.
We think you need these skills to ace Data Analyst / Data Business Analyst London £550/d inside IR35
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Adecco, 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 Adecco, 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 Adecco’s attention and show the tangible impact of your work.
How to prepare for a job interview at Adecco
✨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 Adecco.
✨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 Adecco.
✨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 Adecco.
