The New York State Insurance Fund (NYSIF) is looking to solve business and technical problems related to data analysis and visualization
Requirements
Experience in data visualization, and statistical models and data mining tools
Certification or training in data analytics or business intelligence tools (e.g., Tableau, Power BI, Qlik, Python, Spotfire, SAS, or R)
Experience in building queries, conducting data validation, and cleaning datasets using SQL or similar query languages
Strong understanding of data structures, relational databases, and query logic
Familiarity with data visualization best-practices and interactive dashboard development
Experience working with internal or external stakeholders to understand business needs and translate them into technical solutions
Responsibilities
Develop and build models in support of analytic use cases
Draft technical requirements and data definitions
Provide input on current approaches and recommend improvements to best achieve goals
Review and suggest improvements to current or planned systems and processes
Perform data extraction, aggregation, and quality checks from multiple sources and tables in support of trend identification and root cause analysis
Summarize results, create written reports and collaborate with staff to develop business intelligence solutions
Other
4 (four) years of experience* in data visualization, and statistical models and data mining tools and satisfactory completion of a two-year traineeship; OR 6 (six) years of experience* in data visualization, and statistical models and data mining tools
An associate’s degree may substitute for two years of general experience; or a bachelor’s degree may substitute for four years of general experience
A master’s degree in data or computer science, informatics, economics, statistics, mathematics, or a related field, may substitute for one year of specialized experience
A Ph.D. in the above fields may substitute for two years of specialized experience
Excellent written and verbal communication skills, attention to detail, and the ability to work collaboratively within a team
