Data Analyst - Python, SQL, Power BI

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. 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.   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.   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 Data Analysis & Insight Provide guidance and training to end‑users on accessing, interpreting, and leveraging reports and dashboards effectively. Data Quality, Governance & Integrity 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 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.     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. ·Solid SQL skills for querying and preparing data. ·High attention to detail and strong data quality mindset.   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.   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.     At KP Law, we pride ourselves on being a values-led law firm. We deliver high-quality work, ensuring accuracy, and attention to detail in everything we do. ·We hold ourselves and each other to account for upholding the highest professional standards, ensuring our clients receive exceptional service.   We approach challenges with a positive and proactive mindset, exploring creative and practical solutions. ·We strive to offer a rounded benefits package, that employees value, no matter what stage of their career they are in. Annual discretionary bonus scheme Company contributory pension scheme Hybrid working Life assurance Cash-back healthcare scheme Employee Assistance Programme Subsidised gym membership Cycle to Work scheme Staff referral scheme