Analyst, IT​/Tech, Data Analyst

Overview

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Starting Salary: £33,696.00(pro-rata for part-time vacancies)

Part/Full Time:Full Time

Contract Type: Permanent

Working Pattern: Mon-Fri

An exciting opportunity has arisen within the Performance and Data Analytics team for an Analyst within the Data Lab to play a critical role in transforming complex data into meaningful, actionable insight that makes a real difference to policing, victims and communities across Kent.

Data sits at the heart of the department, and the Data Lab is central to embedding statistical, analytical and evidence‑led insight into the fabric of daily management and operational decision‑making. This role is ideally suited to someone with strong mathematical and statistical knowledge, professional curiosity, and a genuine desire to learn and develop within a high‑quality, evidence‑driven analytical environment.

As an Analyst within the Data Lab, you will work at the forefront of data‑driven policing, supporting senior leaders and operational teams by structuring, analysing and interpreting data to address complex tactical and strategic challenges. You will design, develop and maintain Power BI dashboards and analytical products, working confidently with data and technology to deliver high‑quality insight at pace and to demanding deadlines.

This is a role for someone who thrives in high‑pressure environments, is confident working with IT and complex datasets, and can balance competing priorities while maintaining analytical rigour, accuracy and integrity. Importantly, it is also an extremely rewarding role, offering the opportunity to see how your analytical work directly informs decision‑making, improves services to victims, supports ethical policing, and positively impacts communities.

• Design, develop and deliver end‑to‑end analytical and reporting solutions, including data extraction, cleansing, validation, statistical analysis and the production of analytical outputs.
• Apply mathematical and statistical methods to analyse complex datasets, identifying trends, patterns and outliers to generate robust evidence‑based insight.
• Build, maintain and enhance Power BI dashboards and analytical products, integrating data from multiple sources.
• Work confidently with large and complex datasets, maintaining high standards of data quality, accuracy and integrity.
• Develop clear and compelling analytical narratives, translating complex statistical findings for non‑technical audiences.
• Identify, test and challenge assumptions, hypotheses and risks, applying professional curiosity and analytical rigour.
• Work closely with stakeholders to translate business and operational requirements into analytical solutions.
• Present findings clearly to a range of audiences, including senior leaders, in time‑critical and high‑pressure environments.
• Contribute to the ongoing development of the Data Lab’s analytical capability, including new tools and techniques.
• Where appropriate, contribute to advanced analytical or data science approaches, such as natural language processing.

Your application must clearly demonstrate, through examples, that you meet the following essential criteria:

• Mathematical and statistical capability, demonstrated through qualifications (e.g. a maths‑based A level or equivalent) and/or the application of statistical techniques in an analytical role.
• End‑to‑end analytical experience, including data extraction, cleansing or validation, statistical analysis and production of analytical outputs that inform decision‑making.
• Experience working confidently with data and IT systems to produce analytical products such as dashboards, reports or visualisations (including use of Microsoft 365 or similar tools).
• Ability to communicate complex analysis clearly in writing, particularly to non‑technical audiences and decision‑makers.

Applicants are advised to ensure these criteria are explicitly addressed within their application, as they will be used at the shortlisting stage.

In addition, applicants may wish to demonstrate the following, which will be considered at shortlisting where evidenced:

• Experience using Power…