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- Tasks: Analyse data to improve legal operations and support AI initiatives.
- Company: Join a forward-thinking legal team in a hybrid work environment.
- Benefits: Competitive daily rate, flexible working, and long-term contract until December 2026.
- Other info: Opportunity for professional growth in a dynamic legal operations setting.
- Why this job: Make a real impact by driving data-led decisions and enhancing AI capabilities.
- Qualifications: Experience with SQL, Power BI, and structured data analysis required.
The predicted salary is between 82000 - 82000 £ per year.
Location: Warwick (Hybrid – 2–3 days per week on site)
Rate: £410 per day via Umbrella company
Duration: ASAP – December 2026
We are currently seeking an experienced Data Analyst to join our Legal Operations team on a long‑term contract. This role will support key digital and transformation priorities across the General Counsel function, with a strong focus on improving data capture, insight generation, and the effective use of AI‑enabled solutions.
The successful candidate will help drive better data‑led decision‑making across areas including external legal spend, internal demand management, and the adoption of AI tools and platforms.
Key Responsibilities
- Support improved data capture and analysis relating to external counsel usage, including spend, matter data, and insight generation.
- Contribute to the development of a Legal Front Door, supporting the capture and analysis of incoming work, demand sources, resourcing models, and opportunities for optimisation and automation.
- Enable and support the use of AI tools and platforms to automate workflows and create self‑service capabilities for internal business partners.
- Design, build, and maintain Power BI dashboards to provide clear and actionable insights.
- Ensure high standards of data quality, governance, and auditability across all datasets.
- Prepare datasets for AI consumption, ensuring consistent schemas, well‑defined metadata, and clean, logical taxonomies.
- Translate business and legal questions into structured analytical outputs and insights.
- Support AI pilots and initiatives with evidence‑based measurement and reporting (desirable).
Skills & Experience Required
- Strong experience working with structured and semi‑structured data (e.g. matter data, intake forms, workflow metadata, usage logs).
- Proven SQL capability for querying, transforming, and validating data.
- Hands‑on experience building and maintaining Power BI dashboards.
- Solid understanding of data quality management, including validation, deduplication, completeness checks, and audit requirements.
- Experience preparing data for AI use, including consistent schemas, clear metadata definitions, and clean and logical taxonomies (e.g. work types, risk levels, outcomes).
- Understanding of how AI tools consume and rely on data quality.
- Familiarity with Microsoft AI tools such as M365 Copilot and Copilot Studio.
- Experience working with datasets such as matter and intake data, external legal spend, contract and workflow data, and tool usage and adoption metrics.
- Ability to define, track, and communicate value metrics such as time saved, work redirected, or cost avoidance (desirable).
- Strong stakeholder engagement skills with the ability to communicate insights clearly.
Data Analyst in Warwick employer: Undisclosed
Contact Detail:
Undisclosed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Warwick
✨Tip Number 1
Network like a pro! Reach out to folks in the legal and data analysis fields on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI dashboards and any data projects you've worked on. This is your chance to demonstrate your SQL prowess and how you’ve tackled real-world data challenges. Make it easy for potential employers to see what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on common data analyst questions, especially those related to AI tools and data quality management. Practice explaining your thought process when solving data problems. We want you to shine and show how you can contribute to their team!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged. So, get your application in and let’s get you that Data Analyst role!
We think you need these skills to ace Data Analyst in Warwick
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with structured and semi-structured data, SQL skills, and any Power BI projects you've worked on. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis in legal operations. Share specific examples of how you've improved data capture or used AI tools in previous roles. Let us know why you’re the perfect fit!
Showcase Your Skills: Don’t just list your skills; demonstrate them! If you’ve built dashboards or worked on AI projects, include links or descriptions of your work. We love seeing practical examples that show how you can contribute to our team.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates. Plus, it’s super easy – just follow the prompts and submit your application!
How to prepare for a job interview at Undisclosed
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of structured and semi-structured data. Be ready to discuss your experience with SQL and how you've used it to query and validate data in past roles. This will show that you can hit the ground running.
✨Showcase Your Power BI Skills
Prepare to talk about your hands-on experience with Power BI. Bring examples of dashboards you've built and explain how they provided actionable insights. If possible, have a portfolio ready to demonstrate your work.
✨Understand AI Tools and Their Data Needs
Familiarise yourself with Microsoft AI tools like M365 Copilot. Be prepared to discuss how data quality impacts AI performance and how you've ensured high standards in your previous projects. This will highlight your ability to support AI initiatives effectively.
✨Communicate Clearly with Stakeholders
Practice explaining complex data insights in simple terms. Think of examples where you've successfully engaged stakeholders and communicated value metrics. This will show that you can bridge the gap between data analysis and business needs.