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- Tasks: Analyse data to enhance legal operations and support AI-driven decision-making.
- 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: Collaborative culture with opportunities to work on exciting AI initiatives.
- Why this job: Make a real impact by improving data insights and driving innovation in legal operations.
- Qualifications: Strong SQL skills, experience with Power BI, and a knack for data quality management.
The predicted salary is between 30000 - 40000 £ 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 Atherstone employer: Experis
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Atherstone
✨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 analysis projects you've worked on. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data quality management knowledge. Be ready to discuss how you’ve tackled similar challenges in past roles.
✨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!
We think you need these skills to ace Data Analyst in Atherstone
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role in Legal Operations. Highlight your experience with structured data, SQL skills, and any relevant projects that showcase your ability to improve data capture and insights.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your skills align with the responsibilities outlined in the job description. Don’t forget to mention your experience with AI tools and Power BI!
Showcase Relevant Experience: When filling out your application, be sure to showcase your hands-on experience with data quality management and preparing datasets for AI use. This will demonstrate your understanding of the key requirements for the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of all the amazing candidates like you!
How to prepare for a job interview at Experis
✨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 share any experiences you've had preparing data for AI consumption. This will highlight your understanding of the role's requirements.
✨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 showcase your ability to translate technical data into business-friendly language.