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Data Analyst
2 months ago
We are seeking a highly skilled Data Analyst to join our team at NFP, an Aon company (Europe). As a Data Analyst, you will play a critical role in supporting the integration and ongoing transformation of our sales, support, and operational functions.
Key Responsibilities- Develop and maintain leading-edge analytics systems, taking complex problems and building simple frameworks to drive business performance.
- Work closely with senior leadership, international data team members, and project managers to understand and maintain focus on their analytics needs, including critical metrics and KPIs.
- Proactively analyze data to answer key questions for stakeholders, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity.
- Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources.
- Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution.
- Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across datasets.
- Identify trends and opportunities for growth through analysis of complex datasets.
- Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for datasets.
- Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data.
- Proven analytics skills, including mining, evaluation, and visualization.
- Technical writing experience in relevant areas, including queries, reports, and presentations.
- Experience with database and model design and segmentation techniques.
- Proven success in a collaborative, team-oriented environment.
- Minimum of three years' experience mining data as a Data Analyst.
- Insurance or financial services experience preferred.
- Practical experience in statistical analysis through the use of statistical packages, including Excel, PowerBI, SPSS, and SAS.
- Strong programming experience with frameworks, including XML, JavaScript, and ETL.
