At a Glance
- Tasks: Analyse and operationalise data to drive impactful solutions in a fast-paced environment.
- Company: Join a global tech leader based in Belfast, known for innovation and excellence.
- Benefits: Negotiable daily rate, potential for contract extension, and a dynamic work culture.
- Other info: Engage in a creative environment with opportunities for continuous growth and AI exploration.
- Why this job: Make a real difference by leveraging data for legal and operational outcomes.
- Qualifications: Strong SQL and Python skills, with experience in data analysis and teamwork.
The predicted salary is between 40000 - 50000 € per year.
Daily Rate - Negotiable
Start date - ASAP
Duration - 6 months (Extension likely)
Unlock the potential of data in a global technology leader shaping the future. Join a dynamic team dedicated to leveraging data for impactful legal, operational, and regulatory outcomes. This is your chance to apply your analytical skills in a fast-paced environment, contributing to innovative solutions and automations that make a real difference.
The company works within a global technology company based in Belfast, known for its innovative approach and commitment to excellence. With a diverse team spread across multiple regions, the company specialises in developing cutting-edge solutions, from AI and machine learning to data-driven legal compliance tools. You will be part of a forward-thinking environment that values creativity, technical expertise, and continuous growth.
About you
- Strong proficiency in SQL with the ability to write complex queries
- Experience in Python for building data pipelines and automation
- Comfortable working with cross-functional teams and managing multiple priorities
- Excellent communication skills and a proactive mindset
- Ability to handle high-pressure scenarios and meet urgent legal deadlines
What you'll do
- Support the Data Science team by sourcing, analysing, and operationalising data across platforms
- Execute ad hoc data requests using SQL, Python, and internal tools
- Develop internal tools and automation to streamline legal workflows
- Investigate and retrieve data collaboratively with product, legal, and engineering teams
- Contribute to dashboard creation, ML model deployment, and process improvements
- Maintain and enhance the shared repository of scripts and utilities
- Engaged in documenting workflows and exploring AI deployment opportunities
Data Science Analyst - Contract TLNT1_NI in Belfast employer: IrishJobs
Join a global technology leader in Belfast that champions innovation and excellence, offering a vibrant work culture where creativity and technical expertise thrive. As a Data Science Analyst, you will benefit from a collaborative environment that prioritises employee growth through continuous learning and impactful projects, all while contributing to cutting-edge solutions that shape the future of legal compliance and operational efficiency.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Analyst - Contract TLNT1_NI in Belfast
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common data science questions and showcasing your SQL and Python skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Showcase your projects! Whether it's a GitHub repository or a portfolio website, make sure to highlight your work with data pipelines and automation. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our innovative team.
We think you need these skills to ace Data Science Analyst - Contract TLNT1_NI in Belfast
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your SQL and Python skills, as well as any experience with data pipelines and automation. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Science Analyst position and how you can contribute to our innovative team. Keep it concise but impactful – we love a good story!
Show Off Your Communication Skills:Since you'll be working with cross-functional teams, it's important to demonstrate your communication prowess. In your application, mention any experiences where you successfully collaborated with others or managed multiple priorities under pressure.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our dynamic team at StudySmarter. Don’t miss out on this opportunity!
How to prepare for a job interview at IrishJobs
✨Master Your SQL Skills
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries you've written and how they contributed to past projects. Practising some sample SQL problems can really help you feel confident when discussing your technical expertise.
✨Showcase Your Python Projects
Have a couple of Python projects ready to talk about, especially those involving data pipelines or automation. Be specific about the challenges you faced and how you overcame them. This will demonstrate your hands-on experience and problem-solving abilities.
✨Communicate Clearly
Since you'll be working with cross-functional teams, it's crucial to showcase your communication skills. Practice explaining complex data concepts in simple terms. This will show that you can bridge the gap between technical and non-technical team members effectively.
✨Prepare for High-Pressure Scenarios
Think of examples from your past experiences where you successfully managed tight deadlines or high-pressure situations. Be ready to discuss how you prioritised tasks and maintained quality under stress, as this is key for the role.
