You have opted out of job matches in .
To undo this, go to the 'Skills and Interests' section of your preferences.
Shared by 
22 days ago
warning
Heads-up
Requirements and responsibilities
Brief Description Arsenault provides industry-leading solutions for insurance brokers, and is hiring a Data Analyst to manage the data conversion process of Property and Casualty policy data for use in our products. As a Arsenault Data Analyst, you will be responsible for analyzing new datasets and creating business rules for transformation into our products. You will also be responsible for ensuring quality control throughout the transformation process.What You Will DoSME for DSP (data share partner) data questionsAnalyze and assess new databases/datasets from data share partnersCreate business rules and functional requirements necessary to set up ETL processes to ingest new datasets, as well as recurring.Ensure quality and accuracy of the DSP datasets, this includes:Creating business logic and processes to QA new and re-occurring data loadsMaintain data standards and structure by producing validation and quality assurance reports to ensure data quality and consistency.Identify, analyze, and interpret trends or patterns in data setsInterpret data and develop recommendations based on findingsInterface with Arsenault clients and third parties as needed to obtain and interpret dataPerform other tasks on projects as needed/assigned by managementOverseeing a Philippine resource that works on QA.Handling any ad-hoc requests related to DSP dataCreate business rules and functional requirements necessary to modify existing DSP processes, as well as any new processes proposed by the data teamSupport products that depend on Property and Casualty data.Answer and address any related data issuesWork with developers to support the teamFactors for SuccessBS/BA in information systems, business, economics or other related discipline, or equivalent combination of education and experienceStrong technical orientation and experience with MS SQL Server 2014 or higher, PL SQL, relational databases, MS Excel, and DataStage (or similar ETL tools).Experience in identifying trends and patterns.Familiarity with property and casualty insurance data and general knowledge of insurance industry preferred.Experience in data mining techniques and procedures and ability to apply these techniques appropriately.Ability to present complex information in an understandable and compelling manner.Ability to create functional specifications.Experience working with BI tools (domo, micro strategy, etc.)Company BackgroundWhy pick Arsenault? Arsenault is a cutting edge, web-based SaaS company that has revolutionized the insurance industry by helping independent agencies leverage technology solutions to grow their business in employee benefits and property and casualty markets.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)