Data Analyst 1 (GMSP)

About the Role

Key Responsibilities

• Responding to provider requests for technical assistance via email and phone.
• Contacting providers regarding data entry and reporting compliance issues, and assisting with resolution of data entry issues.
• Working with GMSP staff and OASAS subject matter experts to understand how data collection supports the scope of work.
• Preparing tables, graphs, fact sheets, maps, and written reports summarizing data analysis results.
• Utilizing Inquiry Reports, Excel, and Oracle analytical tools as needed.
• Working with cross-functional teams to interpret data and support decision-making processes.
• Incorporating the data return process into a process improvement cycle for individual providers and projects.
• Assisting SMEs and provider staff in interpreting and using data analysis results to drive program quality improvement.
• Applying knowledge of statistical methods and data mining techniques to uncover patterns, trends, and insights.
• Providing summaries or reports related to program and client data.
• Reviewing and suggesting improvements to current or planned processes.
• Extracting and analyzing Participant Encounter data and Client Data System (CDS) data to identify data quality issues.
• Working with other divisions to improve and maintain internal system functionality.
• Responding to provider requests for technical assistance as received by email and phone.
• Performing other relevant duties as assigned.

Requirements

• Bachelor's degree and either: satisfactory completion of a two-year traineeship or two years of experience in data visualization, statistical models, and data mining tools.
• Substitution: A master's degree in data or computer science, informatics, economics, statistics, mathematics, or a related field may substitute for one year of experience.
• A Ph.D. in the above fields may substitute for two years of experience.
• Proficiency in Excel, Tableau, and SAS strongly preferred.
• Knowledge of ArcGIS and R helpful.
• Experience working with large datasets, including importing, merging data, and validation.
• Ability to present and explain data analyses methods and results to technical and public audiences.
• Ability to respond quickly to requests and manage multiple priorities.

Nice to Have

• Proficiency in ArcGIS and R.
• Experience working with large datasets, including importing, merging data, and validation.
• Comfortable with presenting and explaining data analyses methods and results to both technical and public audiences.

Qualifications

• Bachelor's degree or higher in a relevant field.
• Experience or training in data visualization, statistical models, and data mining tools.

Benefits & Perks

• Excellent health insurance benefits including vision and dental.
• NYS Employees Retirement System (Pension).
• Optional deferred compensation.
• Continuing education benefits.
• Generous paid leave benefits.
• Compensation for 12 state holidays per year.
• Telecommuting may be discussed at interview.