Data Analyst 2

People With Developmental Disabilities, Office for; City of Schenectady (NY); On-site; USD 90,000 - 120,000; Full time

Job summary

The Data Analyst 2 at the Office for People with Developmental Disabilities supports the Division of Data Strategy and Management by building high-quality data assets and governance processes. This role conducts data governance activities, validates data quality, and designs analyses to answer critical business questions using SAS or SQL.

Strong communication is essential to translate technical concepts to non-technical stakeholders.

Qualifications

• Seven years of experience in data visualization, statistical models, and data mining tools.
• Knowledge of data governance frameworks, data life cycle management, data warehousing principles, and ETL pipelines.
• Experience working with large relational healthcare datasets.
• Proficiency in SAS or SQL, Microsoft Excel, Word, and PowerPoint.
• Excellent communication skills and ability to translate technical concepts to non-technical stakeholders.
• Strong problem-solving skills and ability to work independently and in teams.

Responsibilities

• Create data assets and products for the agency.
• Standardize governance practices across the data program.
• Design analyses to answer business questions and inform policy decisions.
• Document data governance activities and ensure data quality.

Skills

Data visualization

Statistical models

Data mining

Tools

SAS

SQL

Excel

Word

PowerPoint

Job description

The Data Analyst 2 works in the Division of Data Strategy and Management at the Office for People with Developmental Disabilities, building high-quality data products and supporting data governance across the agency. Responsibilities include creating data assets, standardizing governance practices, conducting data validation and quality checks, designing analyses to answer business questions, and documenting data governance activities. The role requires strong analytical skills, knowledge of data governance frameworks, and proficiency with tools like SAS or SQL.

Key qualifications:

• Seven years of experience in data visualization, statistical models, and data mining tools
• Knowledge of data governance frameworks, data life cycle management, data warehousing principles, and ETL pipelines
• Experience working with large relational healthcare datasets
• Proficiency in SAS or SQL, Microsoft Excel, Word, and PowerPoint
• Excellent communication skills and ability to translate technical concepts to non-technical stakeholders
• Strong problem-solving skills and ability to work independently and in teams