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Parttime

Business Analyst Insurance

We are looking for someone with strong analytical and troubleshooting capabilities. This person will initially focus on capturing the technical requirements for sustaining and re-engineering actuarial processes and enable/support data use by actuaries.

Responsibilities

  • Reverse engineering of Access and SQL processes • Current process documentation • Identify the data needs of the Modeling and Calculating or Reporting and Analytics work streams through translation of data models, source to target mappings and lineage documents • Identify key business metrics and defining diagnostic tools and data quality business rules • Effectively document and broadcast all data changes and updates • Providing use cases supporting Proof of Concepts for technology and processes to be considered for use within Actuarial • Identifying the data needs of the Modeling and Calculating or Reporting and Analytics work streams through translation of data models, source to target mappings and lineage documents • Identifying key business metrics and defining diagnostic tools and data quality business rules

Required Experience

  • Advanced Access database working knowledge • 2+ years experience with analysis and problem solving techniques • Ability to understand complex processes • Ability to evaluate and analyze multiple sets of data • Excellent attention to detail • Ability to adapt to changing business needs • Excellent communication skills (written and oral) • Exceptional problem solving skills • Self-starter and ability to work independently or with a team • Ability to multi-task when necessary • Dependable/reliable • Goal and deadline oriented • Professional attitude • Ability to read and translate/explain data models, source to target mapping and lineage documents • Ability to write and execute intermediate ad hoc queries • Ability to analyze existing Access processes and identify data transformation rules • Ability to gather and document technical requirements

Company: Modis

Date: Tue, 28 Feb 2017

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