Data Analyst 2 - 88073

Duties Description Under the direction of the Data Analyst 3 (SG-27), the Data Analyst 2 (SG-23) in the Bureau of Data Engineering and Governance is responsible for, but not limited to, the following:

Serve as the Central Point of Contact for Provider Data Submission Requirements:

• Act as the primary liaison and authoritative resource for all OALTC (Office of Aging and Long-Term Care) licensed providers regarding their data submission requirements.
• Clearly communicate, interpret, and reinforce data submission guidelines, standards, and deadlines to ensure provider understanding and compliance.
• Address provider inquiries and concerns related to data submission processes, policies, and expectations.

Provide Expert Technical Support for Provider Data Collection Tools:

• Offer comprehensive technical assistance and guidance to OALTC licensed providers on the utilization of specific data collection tools and platforms mandated for data submission.
• Produce business intelligence solutions by querying data repositories and generating periodic reports to improve guidance and methods.
• Troubleshoot technical issues encountered by providers during data entry, system navigation, or file generation, ensuring minimal disruption to their reporting processes.
• Develop and deliver training materials or conduct sessions as needed to enhance provider proficiency with data collection tools.

Facilitate Data Submission Processes and Workflow Management:

• Oversee and streamline the end-to-end data submission workflow for OALTC licensed providers.
• Devise methods for identifying data patterns and trends in data sources.
• Collaborate with providers to identify and resolve any bottlenecks or challenges in their data submission processes.
• Implement and refine procedures to ensure the timely and accurate receipt of all required data.

Create and Manage Contracted Staff Daily Schedules for Data Collection Activities:

• Develop detailed daily work schedules for contracted staff responsible for essential data collection activities.
• Allocate resources effectively to ensure all required data collection tasks are assigned and prioritized appropriately.
• Coordinate staff assignments based on provider needs, data types, and operational priorities.

Monitor Daily Data Collection Activities & Analysis to Ensure Completion and Quality:

• Implement robust monitoring systems to track the progress and completion status of daily data collection activities.
• Proactively identify any deviations from the schedule or potential issues impacting data collection.
• Tests, validates, and reformulates models to ensure accurate prediction of outcomes of interest.
• Drafts new functions or applications in programming languages to conduct analyses.
• Ensure that all collected data meets established quality standards and completeness requirements before final acceptance.
• Generate reports on daily collection progress, identifying trends, challenges, and successes.

Supervisory Responsibilities:

• May assist in the supervision and mentoring of interns and contracted staff.

Minimum Qualifications Seven years of experience* in data visualization, and statistical models and data mining tools.

*Substitution: 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 general experience; or a Ph.D. in these fields may substitute for two years of general experience.

Preferred Qualifications: The incumbent will have experience in data collection and providing technical support for data submitters. They will have experience overseeing a team responsible for conducting critical tasks on a daily basis, ensuring these tasks are completed in an accurate and timely manner. They will be able to function independently, and prioritize and handle multiple responsibilities. The incumbent will be proficient in data aggregation, data cleaning, general-purpose programming languages (SAS, Python, R, and SQL), and data quality control techniques. Strong organizational, analytical, and critical thinking skills are also preferred.

Additional Comments We offer a work-life balance and a generous benefits package, worth 65% of salary, including:

• Holiday & Paid Time Off
• Public Service Loan Forgiveness (PSLF)
• Pension from New York State Employees' Retirement System
• Shift & Geographic pay differentials
• Affordable Health Care options
• Family dental and vision benefits at no additional cost
• NYS Deferred Compensation plan
• Access to NY 529 and NY ABLE College Savings Programs, and U.S. Savings Bonds
• And many more...