Demo

Data Analyst

The Amynta Group
Fort Worth, TX Full Time
POSTED ON 2/21/2025
AVAILABLE BEFORE 5/18/2025

We're thrilled that you are interested in joining us here at the Amynta Group!

The Data Analyst will be responsible for ingesting data and reporting on Ambridge's underwriting performance. The primary objective of this role is to maintain ownership of Ambridge's claims data ingestion process, ensuring all claims reports (bordereaux) received from Third Party Administrators (TPAs) are timely, accurate, and uploaded into Ambridge's database. Secondary objectives will be to assist in creating logic and reports to support analysis of the information. Role will also periodically be called on to assist with underwriting data reporting development. The ideal candidate will be detail oriented with experience in analyzing data, identifying trends, and communicating findings to stakeholders.

  • Maintenance of Ambridge's claims bordereaux inbox, cataloging that all expected reports have been received
  • Running and maintaining SQL code in order to validate bordereaux data is coming in accurately and being stored into Ambridge's databases
  • Data validation - Ensure the proper loss data are provided for technical processing and underwriting pre-work.
  • Developing and automating reports that provide insights into key performance indicators (KPIs) such as claims frequency, severity, and loss ratios.
  • Creating logic and code using SQL and DAX within Power BI
  • Ensuring data quality and accuracy by performing regular audits and reconciliations.
  • Work alongside TPAs to correct data issues and ensure accuracy of information.
  • Collaborate with actuarial and claims teams to understand business requirements and build claims dataset for reporting enhancements
  • Assisting in underwriting data logic and report development as required.

Education, Qualifications, Knowledge, Skills and Experience

  • Bachelor's degree in finance, mathematics, or a related field.
  • 1-3 years of experience in insurance or a related field.
  • Strong analytical and problem-solving skills, with the ability to analyze complex data sets and identify trends.
  • Proficiency in Microsoft Excel, SQL and other data analysis tools.
  • Experience with data visualization tools such as Power BI.
  • Excellent written and verbal communication skills, with the ability to present findings to stakeholders.
  • Strong attention to detail and accuracy.
  • Ability to work independently and as part of a team.
  • Familiarity with insurance industry regulations and best practices.
  • Experience with Agile methodology preferred.
  • Experience with Azure products preferred (SQL, DevOps, Synapse Analytics, etc.).
  • Regulatory Conduct Rules :

    1.Act with integrity.

    2.Act with due skill, care and diligence.

    3.Be open and co-operative with Lloyd's, the FCA, the PRA, and other regulators.

    4.Pay due regard to the interests of customers and treat them fairly.

    5.Observe proper standards of market conduct.

    The Amynta Group (the " Company ") is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of any ground of discrimination protected by applicable human rights legislation. The information collected is solely used to determine suitability for employment, verify identity and maintain employment statistics on applicants.

    Applicants with disabilities may be entitled to reasonable accommodation throughout the recruitment process in accordance with applicable human rights and accessibility legislation. A reasonable accommodation is an adjustment to processes, procedures, methods of conveying information and / or the physical environment, which may include the provision of additional support, in order to remove barriers a candidate may face during recruitment such that each candidate has an equal employment opportunity. The Company will accommodate a candidate to the point of undue hardship. Please inform the Company's personnel representative if you require any accommodation in the application process.

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