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- Tasks: Support data analysis and AI solutions in a dynamic legal operations team.
- Company: Join a forward-thinking legal operations team in Warwick with a hybrid work model.
- Benefits: Competitive daily rate, flexible working, and opportunities for professional growth.
- Other info: Long-term contract until December 2026 with excellent career development potential.
- Why this job: Make an impact by driving data-led decisions and embracing innovative AI tools.
- Qualifications: Experience with SQL, Power BI, and structured data analysis required.
The predicted salary is between 82000 - 82000 £ per year.
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).
- 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: Experis
Contact Detail:
Experis 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 people in the legal operations field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI dashboards and any data projects you've worked on. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data quality management knowledge. Be ready to discuss how you’ve used these skills in real-world scenarios, especially in relation to AI tools.
✨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, we love seeing candidates who are proactive about their job search.
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 hands-on work with Power BI dashboards. 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 past roles. Let us know why you’re the perfect fit!
Showcase Your Skills: Don’t just list your skills; demonstrate them! If you’ve worked on projects involving data quality management or AI tools, give us the details. We love seeing real-world applications of your expertise, so make it clear 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 your application and ensures you don’t miss out on any important updates. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Experis
✨Know Your Data Inside Out
Make sure you brush up on your experience with structured and semi-structured data. Be ready to discuss specific examples of how you've worked with matter data, intake forms, and workflow metadata. This will show that you understand the nuances of the role and can hit the ground running.
✨Show Off Your SQL Skills
Prepare to demonstrate your SQL capabilities during the interview. Have a few examples ready where you've queried, transformed, and validated data. You might even want to practice some common SQL questions or scenarios to ensure you're confident when discussing your technical skills.
✨Power BI Proficiency is Key
Since building and maintaining Power BI dashboards is a big part of the job, be prepared to talk about your hands-on experience. Bring along examples of dashboards you've created and be ready to explain how they provided actionable insights. Visual aids can really help here!
✨Communicate Clearly with Stakeholders
Strong stakeholder engagement skills are crucial for this role. Think of instances where you've successfully communicated complex data insights to non-technical stakeholders. Practising how you articulate these insights will help you stand out as a candidate who can bridge the gap between data and decision-making.