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Data Analyst

Hanson Lee
London
1 week ago
Applications closed

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Data Analyst

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Data Analyst

My client are an Insurance consultancy seeking a highly skilled Senior Data Analyst with expertise in Azure Services to play a pivotal role in designing and developing data solutions within their organization.


Role Type:Permanent and Contract Options

Location:London/ Hybrid


Responsibilities

  • Interpret data, analyze results using statistical techniques, and provide ongoing reports.
  • Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
  • Acquire data from primary or secondary data sources and maintain databases/data systems.
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
  • Work closely with management to prioritize business and information needs.
  • Locate and define new process improvement opportunities.


Requirements

  • Proven working experience as a Business Data Analyst.
  • Technical expertise regarding data models, database design development, data mining, and segmentation techniques.
  • Strong knowledge of and experience with reporting packages (Business Objects, Tableau, Power BI), databases (SQL, etc.), programming (XML, JavaScript, or ETL frameworks), and data visualization (Power BI, Tableau, etc.).
  • Demonstrated analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Adept at queries, report writing, and presenting findings.
  • Experience working with large datasets and distributed computing tools (Hadoop, Spark, etc.)
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, etc.).
  • Experience with data profiling tools and processes.
  • Knowledge of Microsoft Fabric is desirable.
  • Professional experience as a Data Modeler/Data Architect in P&C insurance, preferably reinsurance
  • Effective communication and collaboration skills, with the ability to effectively interact with stakeholders at all levels.


Good to Have:

  • Experience with CI/CD pipelines.
  • Strong understanding of Agile/Scrum methodologies
National AI Awards 2025

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