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 our organization.

Role Type: Permanent/ Hybrid

Location: London

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

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