Job Description

Job Description

Job Description

Duration: 30 Month Contract
Hyrbid: 50% onsite in New York, NY

Continue the effort of building NYSIF Enterprise Data Warehouse, consolidating/retiring multiple existing legacy Data marts with the goal of eliminating unnecessary duplications and establishing single source of truth to increase efficiency in BI team and reduce maintenance costs. The hired consultant will focus on creating a dashboard to facilitate claims/underwriting predictions. The consultant will be responsible for operationalizing prediction models created by data scientists, implementing data lake, and will also help with integrating financial transactions, cash flows, external auditors' requests, and accounting reporting into NYSIF Enterprise Data Warehouse. The consultant will assist in evaluating, recommending and implementing AI solutions, knowledge graph, data governance, and data management solutions

Responsibilities:

• Provide recommendations, guidance, and actual implementation for new data marts, as well as improving and consolidating existing Data marts.
• Participate and contribute to DW/BI projects throughout the project lifecycle.
• Establish written best practices, procedures and generally provide guidance on DW/DM data model design
• Create and maintain up-to-date documentation for all supported DW/DM, ETL
• Plan, create, modify, maintain, test and implement code in support of any of the following: Source System extraction processes for the Data Warehouse; ETL processes; BI Dashboards and reports. (R, Python)
• Develop and maintain Spotfire systems (including prediction models written in R, TERR and automation services)
• Automation of source system data extraction processes and data loading of the Data Warehouse.
• Operationalize prediction models
• The consultant will adhere to NYSIF's application development standards, including, but not limited to, project management methodology, SDLC (software development life cycle), Enterprise Architecture standards and the IT governance process. Support the BI Data Warehouse using TIBCO Spotfire, Information Builders software Data Migrator

Qualifications:

84+ months: Candidate is able to provide guidance to large teams and/or has extensive industry experience and is considered at the top of his/her field.

Desired Qualifications:

• 84 months Data Modeling experience in designing underwriting, claims DataMarts, Data warehouse in Insurance industry (Workers' Compensation and disability)
• 84 months of experience with developing and maintaining predictive systems written in R or Python using TIBCO Spotfire/TERR.
• 84 months experience with TIBCO Spotfire Analyst, Web Player and Business Authors, using Iron Python, R, and Java Scripts
• 84 months of experience in developing, documenting, and maintaining an end-to-end ETL data pipeline (Information Builder International “IBI” Data Migrator, aka TIBCO Data Migrator).
• 84 months of experience in Oracle PL/SQL development, including triggers, stored procedures, packages, and advanced query optimization, database design, and implementation.
• 84 months of experience in Agile/Scrum project management methodology.
• 84 months of experience in automated testing, build and deployment tools (TFS, PowerShell and Visual Build Pro)
• 84 months experience in development tools, such as: VS Code, Visual Studio Code, Visual Studio, Git, Azure, and TFS
• 84 months of experience developing systems in workers' compensation, insurance for WC, DBL, PFL accounting and financial reporting using western and eastern method
• Bachelor's Degree

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