Insurance Data Expert

1 day ago

San Diego, California, United States K2 Claims Services, LLC Full time
Business Opportunity

We are seeking a highly skilled Business Analyst to join our team at K2 Insurance Services, LLC. The successful candidate will play a key role in bridging the gap between business needs and technical execution.

The focus of this position is on insurance data, which will be mapped and processed using SQL and Python on the Databricks platform by our Data Engineering team.

This is an excellent opportunity to work with a growing company that offers competitive pay, bonus plans, medical, dental, and vision insurance, paid time-off, and a 401(k) with employer match.

Key Responsibilities:
  • Business Requirement Gathering:
  1. Collaborate with insurance business leaders to understand their specific needs and objectives.
  2. Conduct in-depth interviews, workshops, and surveys with the business units to gather detailed requirements.
  3. Analyze and document business processes, data flows, and data quality expectations as needed.
Requirement Analysis:
  1. Break down complex business requirements into manageable and measurable components.
  2. Identify data dependencies, data sources, and data transformations.
  3. Prioritize requirements based on business value and technical feasibility.
Technical Specification Development:
  1. Translate business requirements into clear and concise technical specifications.
  2. Collaborate with data engineers to ensure that specifications are aligned with technical capabilities.
  3. Create data models, data dictionaries, and other technical documentation.
Data Mapping and Transformation:
  1. Work closely with data engineers to define data mapping rules and transformation logic.
  2. Assist in the development of SQL queries and scripts for data extraction, transformation, and loading (ETL) as needed.
  3. Validate data quality and accuracy throughout the data mapping process, performing user acceptance testing.
Data Governance and Compliance:
  1. Ensure adherence to data governance standards and regulations.
  2. Help implement data quality controls and data security measures.
  3. Maintain data lineage and documentation.
Stakeholder Management:
  1. Communicate effectively with stakeholders at all levels, providing regular updates on project progress.
  2. Manage expectations and resolve conflicts.
  3. Build strong relationships with business leaders, data engineers, and other team members.

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