Bordereau Management Data Analyst (BMS Data Analyst)

Bordereau Management Data Analyst (BMS Data Analyst)

Location : NYC,NY ( Hybrid )

Duration : 12 months

Position type : W2 contract.

( Experience in the (Re)insurance industry, across US Property & Casualty, International Markets and Life, Accident & Health segments.)

Ideal candidate collaborate closely with cross-functional teams to define data standards, negotiate data requirements with partners, and implement best practices for data management (mapping, validation and transformations), integration, and analysis. This role offers an exciting opportunity to work on cutting-edge technologies, solve complex data challenges, and drive impactful insights that fuel our company's success.

• Bachelor s or Master s degree in Computer Science, Information Systems, or a related field.
• 10+ years of experience in data analysis and data management.
• 5+ years of experience in the (Re)insurance industry, across US Property & Casualty, International Markets and Life, Accident & Health segments.
• Strong capabilities working with the latest business intelligence tools and query tools, specifically Power BI, SQL and Spark.
• Strong understanding of data modelling and data processing frameworks such as SSIS, Python and Databricks.
• Excellent data analysis and data management documentation skills.
• Excellent organizational, written, verbal and presentation skills.
• Excellent critical thinking and analytical abilities, particularly with regards to data management.
• Ability to work individually with limited oversight.
• Strong leadership skills fostering collaboration and driving solutions within a data team.
• Ability to prioritize, multi-task, and maintain flexibility in a fast-paced, changing environment.
• Demonstrated ability to influence and work effectively within a global organization with employees at all levels.
• Motivated, team-oriented, with strong problem-solving and project management skills.

Key Responsibilities

Analysing and mapping data to verify the accuracy and completeness of data that has been collected. This may involve checking for duplicate entries, missing information, or incorrect figures.

Identify trends, potential risks, and areas for improvement with regards to the overall performance of a portfolio.