Data Analyst 2 - 89015

Health, Department of; City of Albany (NY); On-site; USD 90,000 - 120,000; Full time

Job summary

The New York State Department of Health, within the Center for Health Data Innovation, seeks a Data Analyst 2 to create analytics engineering solutions. You will design and implement data pipelines and gather requirements from stakeholders to optimize data delivery that informs healthcare policy and decision-making.

Join a collaborative Data Engineering Unit focused on reliable, governance-driven enterprise data solutions.

Qualifications

• Seven years of experience in data visualization, statistical models, and data mining tools (or equivalent education substitution).
• Proficient in Python, SQL, dbt, and Git.
• Strong SQL knowledge with ability to write efficient queries, preferably in Snowflake, Redshift, or BigQuery.
• Proven experience in data analytics, data engineering, or related roles, preferably with health data and modern data pipelines.
• Ability to work independently and collaboratively with strong analytical and problem-solving skills.

Responsibilities

• Design and implement analytics engineering solutions and data pipelines within the Data Engineering Unit.
• Gather technical requirements from stakeholders and translate them into data solutions.
• Optimize data delivery to support health policy and decision-making.

Skills

Python

SQL

dbt

Git

Data visualization

Statistical models

Data mining tools

Analytical thinking

Tools

Snowflake

Redshift

BigQuery

Job description

The Data Analyst 2 will produce analytics engineering solutions in the Data Engineering Unit within the Center for Health Data Innovation at the NYS Department of Health. This role involves designing and implementing data pipelines, conducting technical requirements gathering with stakeholders, and optimizing data delivery to support healthcare policy and decision-making. The Data Engineering Unit is a collaborative team responsible for developing enterprise-scale data solutions with strong emphasis on data reliability, integrity, and governance.

Key qualifications:

• Seven years of experience in data visualization, statistical models, and data mining tools (or equivalent education substitution)
• Proficient in Python, SQL, dbt, and Git
• Strong SQL knowledge with ability to write efficient queries, preferably in Snowflake, Redshift, or BigQuery
• Proven experience in data analytics, data engineering, or related roles, preferably with health data and modern data pipelines
• Ability to work independently and collaboratively with strong analytical and problem-solving skills