New York State Department of Health
Overview
The Data Analyst 2 will produce analytics engineering solutions in the Data Engineering Unit in the Center for Health Data Innovation. The Data Engineering Unit is responsible for developing and operating large scale, enterprise data solutions and applications that help to guide policy and decision-making in healthcare and public health. The Data Engineering unit is a highly collaborative team that requires effective communication and problem-solving skills, as well as strong technical skills. Duties Description
Work with Product Manager’s to conduct technical requirements gathering and project scoping sessions with subject matter experts and stakeholders to discover and define data needs. Work with analysts to design value-creating pipelines including data integrations and transformations, model features, and statistical models. Achieve standards in data reliability, data integrity and data governance, enabling accurate, consistent, and trustworthy data sets, business intelligence products, and analyses. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
Qualifications
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 Proficient in Python, SQL, dbt, and Git. Not required, but a nice to have: familiarity with Airflow, Docker, or Terraform. Strong SQL knowledge and ability to write efficient queries (preferably experience in Snowflake, Redshift, BigQuery). Proven experience in data analytics, data engineering, or related roles, preferably in the Health Data, with experience using modern data pipelines and warehousing platforms. Quick learner with ability to swiftly grasp new methods and technologies. Proven ability to work both independently on projects and as part of a larger team. Possess strong analytical thinking and critical reasoning skills with an aptitude for problem-solving. Object-oriented/object function scripting in Python
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... The NYS Department of Health is committed to making New York a safer, healthier, and more equitable place to live. Understanding health equity, social determinants of health and health disparities is critical to accomplish our goal of eliminating health disparities. For more information on the NYS Department of Health’s Mission, Vision, Values and Strategic Plan, please visit: https://health.ny.gov/commissioner/index.htm If you require reasonable accommodation to complete a job application, a job interview or to otherwise participate in the hiring process, please contact by phone 518-486-1812 or email doh.sm.reasonable.accommodation@health.ny.gov to make a request. NYS Department of Health does not participate in E-Verify and does not sponsor visa applications. For new State employees appointed to graded positions, the annual salary is the hiring rate (beginning of the Salary Range) of the position. Promotion salaries are calculated by the NYS Office of the State Comptroller in accordance with NYS Civil Service Law, OSC Payroll rules and regulations and negotiated union contracts.
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The Data Analyst 2 will produce analytics engineering solutions in the Data Engineering Unit in the Center for Health Data Innovation. The Data Engineering Unit is responsible for developing and operating large scale, enterprise data solutions and applications that help to guide policy and decision-making in healthcare and public health. The Data Engineering unit is a highly collaborative team that requires effective communication and problem-solving skills, as well as strong technical skills. Duties Description
Work with Product Manager’s to conduct technical requirements gathering and project scoping sessions with subject matter experts and stakeholders to discover and define data needs. Work with analysts to design value-creating pipelines including data integrations and transformations, model features, and statistical models. Achieve standards in data reliability, data integrity and data governance, enabling accurate, consistent, and trustworthy data sets, business intelligence products, and analyses. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
Qualifications
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 Proficient in Python, SQL, dbt, and Git. Not required, but a nice to have: familiarity with Airflow, Docker, or Terraform. Strong SQL knowledge and ability to write efficient queries (preferably experience in Snowflake, Redshift, BigQuery). Proven experience in data analytics, data engineering, or related roles, preferably in the Health Data, with experience using modern data pipelines and warehousing platforms. Quick learner with ability to swiftly grasp new methods and technologies. Proven ability to work both independently on projects and as part of a larger team. Possess strong analytical thinking and critical reasoning skills with an aptitude for problem-solving. Object-oriented/object function scripting in Python
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... The NYS Department of Health is committed to making New York a safer, healthier, and more equitable place to live. Understanding health equity, social determinants of health and health disparities is critical to accomplish our goal of eliminating health disparities. For more information on the NYS Department of Health’s Mission, Vision, Values and Strategic Plan, please visit: https://health.ny.gov/commissioner/index.htm If you require reasonable accommodation to complete a job application, a job interview or to otherwise participate in the hiring process, please contact by phone 518-486-1812 or email doh.sm.reasonable.accommodation@health.ny.gov to make a request. NYS Department of Health does not participate in E-Verify and does not sponsor visa applications. For new State employees appointed to graded positions, the annual salary is the hiring rate (beginning of the Salary Range) of the position. Promotion salaries are calculated by the NYS Office of the State Comptroller in accordance with NYS Civil Service Law, OSC Payroll rules and regulations and negotiated union contracts.
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