At a Glance
- Tasks: Extract, analyse, and automate data to support legal and operational initiatives.
- Company: Join a global technology leader in a fast-paced environment.
- Benefits: Competitive rate of £350/day with potential for extension.
- Other info: Collaborative culture with opportunities for professional growth.
- Why this job: Work on cutting-edge projects and solve complex data challenges.
- Qualifications: Strong Python and SQL skills, with experience in data analysis.
The predicted salary is between 63000 - 77000 £ per year.
Location: Belfast
Rate: £350/day (Inside IR35)
Start: ASAP
Duration: 6 Months (Likely Extension)
We're looking for a Data Science Analyst with strong Python and SQL skills to join a global technology leader. If you're passionate about solving complex data challenges, building automation, and delivering high-impact analytical solutions, this contract offers the opportunity to work on cutting-edge projects in a fast-paced environment.
The Role
You will play a key role in supporting data-driven legal, operational, and regulatory initiatives by extracting, analysing, and automating data across multiple platforms. This position is highly technical, with Python and SQL forming the foundation of the role.
Essential Skills
- Advanced SQL - able to write complex queries, optimise performance, and analyse large datasets.
- Strong Python - experience developing data pipelines, automation scripts, and data processing solutions.
- Experience working with large, complex datasets.
- Strong analytical and problem-solving skills.
- Excellent communication skills with the ability to collaborate across technical and business teams.
- Ability to work in a fast-paced environment and manage competing priorities.
Key Responsibilities
- Build and maintain data solutions using Python and SQL.
- Develop automation tools to improve legal and operational workflows.
- Execute complex ad hoc data requests and investigations.
- Collaborate with Product, Legal, Engineering, and Data Science teams to source and analyse data.
- Create dashboards, support machine learning deployments, and drive continuous process improvements.
- Maintain and enhance shared code repositories, scripts, and internal tools.
- Document processes and contribute to AI and automation initiatives.
If you're a Python-first data professional with excellent SQL skills, we'd love to hear from you. Apply today or contact VANRATH for a confidential discussion.
Data Science Analyst - Contract TLNT1_NI in Belfast employer: VANRATH
Join a forward-thinking manufacturer in the Derry area as a Maintenance Technician, where you'll enjoy a stable dayshift role with an early finish every Friday. Our supportive team environment fosters professional growth, offering excellent training and development opportunities, ensuring you can advance your career while contributing to continuous improvement projects in a modern manufacturing facility.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Analyst - Contract TLNT1_NI in Belfast
✨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 VANRATH 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 VANRATH.
✨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 VANRATH.
We think you need these skills to ace Data Science Analyst - Contract TLNT1_NI in Belfast
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at VANRATH, 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 VANRATH, 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 VANRATH’s attention and show the tangible impact of your work.
How to prepare for a job interview at VANRATH
✨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 VANRATH.
✨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 VANRATH.
✨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 VANRATH.
