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- Tasks: Transform complex data into clear insights and support decision-making across the firm.
- Company: Join KP Law, a leading litigation boutique with a focus on collective redress.
- Benefits: Enjoy hybrid working, a bonus scheme, and a supportive workplace culture.
- Other info: Be part of a diverse team committed to excellence and continuous improvement.
- Why this job: Make a real impact by delivering analytical solutions that drive business success.
- Qualifications: Degree in STEM or experience in data analysis; proficiency in Power BI and SQL required.
The predicted salary is between 35000 - 45000 £ per year.
The Firm Established in 2020, KP Law (previously Keller Postman) is a specialist litigation boutique, focussing on collective redress. The firm has over 100 employees across offices in London, Manchester, Birmingham, and Liverpool, representing over 250,000 individual clients across a range of cases in areas such as product liability, competition, worker rights, data breach and privacy and financial services. Our ethos is to combine the best legal talent with a strong operational and technological platform to enable its clients to pursue cases that could not otherwise be brought against large corporates as a result of their wrongdoing. Uniquely, KP Law is owned and fully financed by a recognised UK litigation funder (Legatus Holdings), this allows us to take on larger, headline making cases with greater efficiency and confidence. All of our cases are for claimants and carried out under contingent fee agreements at no cost or risk to its clients. KP Law was ranked Tier 1 for Group Litigation: Claimant in The Legal 500 UK Guide 2026, and Band 2 for Group Litigation: Claimant in Chambers and Partners 2026.
The Role
Role Summary As a Data Analyst you will play a pivotal role in providing valuable insights and analysis to internal and external customers. Working in a small team, you will collaborate with Legal teams, data engineers and developers to strengthen data-driven decision-making across the organisation. By delivering high quality analytical solutions across reporting solutions such as Power BI, the Data Analyst enables teams to make informed decisions, identify performance drivers, and continuously improve operational outcomes.
Key Responsibilities:
- Reporting & Data Visualisation
- Design, build, and maintain reports and dashboards that turn complex data into clear, actionable insights
- Apply data visualisation best practices to effectively communicate findings to varied audiences
- Automate routine and recurring reports to improve efficiency and consistency.
- Analyse large and complex datasets to identify trends, patterns, and opportunities aligned to business objectives
- Provide analytical support to inform key business initiatives and decision making
- Generate meaningful insights to support both operational and strategic outcomes
- Collaborate with business teams to gather reporting requirements and translate them into technical specifications.
- Provide guidance and training to end‑users on accessing, interpreting, and leveraging reports and dashboards effectively.
- Present insights and recommendations that influence operational and strategic decision‑making.
- Ensure data quality, accuracy, and consistency across all reports and analytical outputs
- Carry out regular data cleansing, validation, and reconciliation activities
- Support the implementation and adherence to data governance policies and standards
- Document methodologies, processes, and outputs to promote transparency, repeatability, and knowledge sharing
- Monitor the performance of existing reports and dashboards, implementing improvements where needed.
- Contribute to the development of reporting standards, documentation, data definitions, and governance practices.
Essential Skills & Experience:
- Degree in a STEM subject or experience in data analysis or business intelligence.
- Proficiency in Power BI, including data modelling, DAX, and visualisation best practices.
- Strong analytical skills with the ability to interpret complex datasets.
- Solid SQL skills for querying and preparing data.
- Experience working with stakeholders to understand needs and present findings.
- High attention to detail and strong data quality mindset.
Desirable Skills & Attributes:
- Experience working with Databricks for data transformation or analytics workflows.
- Experience developing Salesforce reports and dashboards.
- Foundational knowledge of Python for data manipulation, automation, or analysis.
- Experience with cloud data environments such as Azure or AWS.
- Familiarity with ETL tools, or similar data‑integration technologies.
- Understanding of data modelling concepts.
- Familiarity with legal industry data and metrics.
Equal Opportunities Our approach to our people is underpinned by our commitment to equity, diversity, inclusion and well-being. Our ambition is to build a richly diverse workforce made up of the best talent in our industry. With a workplace that is supportive and inclusive, recognises and nurtures talent, and has a strong sense of community between colleagues. This means that everyone who either applies to or works for KP Law is treated equally, regardless of their gender, age, ethnic origin, nationality, marital status, disability, sexual orientation, or religious beliefs.
Our Values At KP Law, we pride ourselves on being a values-led law firm.
- Excellence in Everything
- We deliver high-quality work, ensuring accuracy, and attention to detail in everything we do.
- We seek continuing competence by embracing feedback, learning from our experiences and that of others, and developing our expertise.
- We hold ourselves and each other to account for upholding the highest professional standards, ensuring our clients receive exceptional service.
- We collaborate openly, valuing and respecting diverse perspectives to achieve the best results.
- We support and trust one another, fostering an inclusive environment where everyone can contribute and thrive.
- We recognise that success is a team effort, sharing knowledge and celebrating each other’s achievements.
- We approach challenges with a positive and proactive mindset, exploring creative and practical solutions.
- We take ownership of problems, staying committed and resilient until we achieve the best outcome.
- We embrace change and adaptability, seeing obstacles as opportunities to improve and innovate.
Our Benefits We strive to offer a rounded benefits package, that employees value, no matter what stage of their career they are in. Current benefits include:
- Annual discretionary bonus scheme
- Company contributory pension scheme
- Hybrid working
- Life assurance
- Cash-back healthcare scheme
- Enhanced family friendly policies
- Employee Assistance Programme
- Subsidised gym membership
- Cycle to Work scheme
- Staff referral scheme
Locations
Data Analyst in Cheshire, Warrington employer: KP Law
Contact Detail:
KP Law Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Cheshire, Warrington
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching KP Law and understanding their values. Be ready to discuss how your skills in data analysis and visualisation can help them achieve their goals. Show them you’re not just another candidate!
✨Tip Number 3
Practice your presentation skills! As a Data Analyst, you'll need to communicate complex insights clearly. Try explaining your past projects to friends or family to get comfortable with your delivery.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the KP Law team.
We think you need these skills to ace Data Analyst in Cheshire, Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with Power BI, SQL, and any relevant data analysis projects. We want to see how your skills align with what we're looking for!
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 you can contribute to KP Law. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills: In your application, don’t just list your skills; demonstrate them! Include examples of how you've used data to drive decisions or improve processes. We’re all about insights that lead to action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team at KP Law!
How to prepare for a job interview at KP Law
✨Know Your Data Tools
Make sure you brush up on your Power BI skills before the interview. Be ready to discuss how you've used data visualisation best practices in past projects. KP Law values clear, actionable insights, so be prepared to showcase your ability to turn complex data into understandable reports.
✨Showcase Your Analytical Skills
Prepare examples of how you've analysed large datasets to identify trends and opportunities. Think about specific instances where your insights influenced decision-making. This will demonstrate your strong analytical skills and your ability to provide valuable support to business initiatives.
✨Engage with Stakeholders
KP Law emphasises collaboration, so be ready to talk about your experience working with stakeholders. Share how you've gathered reporting requirements and translated them into technical specifications. Highlight any training or guidance you've provided to end-users on leveraging reports effectively.
✨Emphasise Data Quality
Data integrity is crucial for KP Law, so be prepared to discuss your approach to ensuring data quality and accuracy. Talk about any regular data cleansing or validation activities you've undertaken, and how you’ve supported adherence to data governance policies in your previous roles.