Data Analyst 2 - 89015

Duties Description 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 application that helps 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.

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.

Minimum Qualifications Non-competitive: 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 When reviewing qualifications, omissions and vagueness cannot be interpreted in the candidate’s favor. Candidates are responsible for providing accurate and clear descriptions of their experience demonstrating how they meet the minimum qualifications.

This position may require travel throughout New York State including overnights to areas not served by public transportation.

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…