Hi, our client is in need of Sr. Consultants /Data Mgt with Insurance Industry background. SQL knowledge is also a must with Power BI . Details below.. Would you be interested? Remote and EST . Thank you Christine Lippelt 732 648 3444c

Skills: Direct Insurance experience across P&C and A&H and they need to be strong data management professionals, so SQL and BI development skills are key.

Bachelor's or Masters 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.
Strong capabilities working with the latest business intelligence tools and technologies, specifically Power BI and SQL.
Proven experience with AWS cloud storage and database technologies, including Redshift, RDS and S3.
Strong understanding of data modeling, SQL, and ETL processes.
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.

Seeking a talented Senior Data Analyst to join our Product team to help ingest data, containing critical information about policies, premiums, claims, and risk exposures that has been provided by our distribution partners into our Management System (Client) and develop business insights, analytics and reports to meet the needs of various functions across business units.

Collaborate closely with cross-functional teams to define data standards, negotiate data requirements with our 3 rd party 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.

Key Responsibilities

Expand and refine existing data standards for Programs\ business by collaborating with business and technology teams to maintain data dictionaries and data templates.
Work closely with Program Managers to negotiate and gather the required policy, premium, claims, and risk exposure data from Brokers, MGAs, Coverholders, or TPAs and escalate issues to internal teams where necessary.
Manage the end-to-end data ingestion process including but not limited to:
- Analyzing 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.
- Work with data engineering teams to integrate data into our Management System (Client).
- Perform acceptance testing on data that has been loaded to ensure it reconciles to source files and aligns to the mapping and validation rules that have been defined.
- Monitor and manage the resolution of any data quality issues that prevent the processing of data in accordance with agreed quality standards and timelines. This may involve correcting issues internally with business teams or reaching out to our partners to correct issues at source.
Collaborate with our internal Business Intelligence (BI) team and key business stakeholders to develop insights, analytics and reports to:
- Identify trends, potential risks, and areas for improvement with regards to the overall performance of a portfolio.
- Monitor whether Brokers, MGAs, Coverholders, or TPAs are meeting the terms and conditions of the Program Management Agreements (PMA) and Binding Authority Agreements.
- Meet the needs of regulators, reinsurers, market bodies and internal compliance teams, including ISO/ISS, Lloyds, premium tax etc
Implement continuous improvement processes to increase efficiency, reduce errors and improve oversight & decision making.
Develop and enforce best practices in areas of master and reference data management, data mapping, data modelling and data integration with regards to the Management System (Client)
Ensure process and training documentation in relation to Management Procedures are kept up to date.
Stay aware of market standards (including ACORD and Lloyds), changes to bordereaux data and processing requirements.

Christine Lippelt - Senior Technical Recruiter

732-562-8880 ext 308

clippelt@ncstech.com

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Remote Sr. Data Analyst- BI