Senior Data Analyst

Arcus Search
London
1 month ago
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Senior Data Analyst - Insurance

We are seeking a dedicated Data Analyst to enhance our insurance clients' Data team's capabilities in supporting the business through advanced data analysis. The role's main focus is to optimize data usage for better decision-making processes within the company.

Key Responsibilities:

  1. Collaborate with business stakeholders to gather and understand data requirements, performing comprehensive data analysis to evaluate its quality, relevance, and application.
  2. Assist in managing reference data and ensure its seamless integration across various systems and applications.
  3. Participate in data quality initiatives, including identifying data inconsistencies, executing data cleansing activities, and monitoring and reporting on data quality.
  4. Develop and implement policies and procedures to support the management of reference data and maintain data quality.
  5. Maintain and update reference data and data quality artifacts, such as business glossaries, metadata repositories, and data quality reports.

Skills & Requirements:

  1. Proven experience in the Insurance domain, with a solid understanding of business processes and areas such as Reinsurance, Underwriting, Claims, and Actuarial.
  2. Knowledge of insurance data applications and the ability to leverage data to create business value.
  3. Hands-on experience with Data Quality and Reference Data management.
  4. Proficiency in data visualization and reporting tools, particularly Power BI.
  5. Strong understanding of Data Governance principles and reference data management frameworks.
  6. Excellent communication skills, both verbal and written, to interact effectively with a wide range of business and technical stakeholders.
  7. Technical proficiency in SQL, experience with Master Data Management (MDM) and Data Quality tools, and familiarity with data integration and ETL processes.

This position is ideal for a skilled Data Analyst who thrives in a dynamic environment and is passionate about leveraging data to drive business success in the insurance industry.

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