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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Insight Analyst - **Company:** Motor Insurers' Bureau - **Location:** Milton Keynes, UK - **Salary:** £65,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Business Analytics Applications, Data Analysis, Microsoft Azure, Big Data, Data Infrastructure, Data Systems, Data Warehousing, Database Development, Statistical Hypothesis Testing, Data Intelligence, Python (Programming Language), Power BI, Data Processing, Cloud Platform System, Apache Spark, Pandas, Data Analytics, Databricks - **Published:** August 12, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=23cc9ab605755aec ## About the Role * Strong experience working with large, complex datasets in a data analytics or insight role. * Advanced experience using Databricks, including working with Spark-based data environments. * Strong Python skills, with hands-on experience using Pandas and related analytical libraries. * Experience writing efficient, well-structured code for data manipulation and analysis. * Good understanding of data warehousing concepts and analytical data models. * Experience working with cloud-based data platforms (Azure preferred). * Strong analytical mindset with the ability to break down complex problems and apply structured thinking. * Ability to interpret data critically, challenge assumptions, and draw meaningful conclusions. * Ability to communicate complex analytical concepts clearly to non-technical audiences. * Strong stakeholder management skills, with experience working across technical and business teams. * Confident presenting insights, recommendations, and options to support decision-making. * Experience supporting reporting and insight functions in a regulated or complex environment. * Familiarity with data visualisation tools (e.g. Power BI, Databricks One or similar). * Experience working in Agile or sprint-based delivery environments (e.g. Azure DevOps). * Curious and proactive, with a strong desire to understand the "why" behind the data. * Collaborative and team-focused, with a willingness to share knowledge and best practice. * Organised and able to manage multiple priorities effectively. * Committed to continuous learning and development in data and analytics. ## Description * The Data Insight Analyst will play a key role within the MIB Data Team, delivering high-quality analysis and insight from complex datasets to support strategic and operational decision-making. * The role will focus on in-depth analytical work, translating data into clear, actionable insights, and working closely with business stakeholders and the Data Development team to ensure data solutions meet business needs. * The Data Insight Analyst working with the wider Data team, will act as a bridge between data and the business, combining strong technical capability with an understanding of business context to influence outcomes through evidence-based insight., * Conduct in-depth exploratory and statistical analysis on large and complex data sets to identify trends, patterns, risks, and opportunities. * Develop and test hypotheses based on a strong understanding of MIB data. * Combine MIB datasets with selected external data to broaden understanding and contextualise MIB data. * Develop clear, well-structured analytical outputs that translate technical findings into meaningful business insight. * Apply analytical techniques to answer both ad-hoc and recurring business questions. * Work closely with business partners & stakeholders to understand requirements, define analytical questions, and shape insight outputs. * Present findings and recommendations to both technical and non-technical audiences in a clear and compelling way. * Act as a trusted analytical partner, supporting evidence-based decision-making across the organisation. * Collaborate with the Data Development team to shape data models, pipelines, and datasets that support analytical and reporting needs. * Validate data quality and ensure analytical outputs are robust, accurate, and fit for purpose. * Contribute to the continuous improvement of analytical tools, processes, and standards within the team. * Support the development and enhancement of insight-led reporting and dashboards. * Ensure insights are aligned to organisational priorities and performance measures. * Document analytical approaches, assumptions, and methodologies to support transparency and reuse. ## Related Videos - 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