Data Analyst 2 - VID 218847

Duties Description

Duties include but are not limited to:

• Collaborate with business units to collect and analyze data to create data visualizations and reports.
• Compile ad-hoc data analyses within assigned business units and provide data and information to management for determination of data standards.
• Assess data structures to determine use in producing reliable and pertinent reporting.
• Interpret, review, and draw conclusions based on data mining.
• Provide technical advice to data analytic teams and business units.
• Develop and maintain queries and scripts to extract and manipulate data for analysis.
• Automate data processing workflows and manipulate data using scripting and programming languages.
• Perform quality assurance testing on established data mining processes and document deficiencies.
• Build relationships with business units and provide status updates.
• Collaborate with Data Analytics team to develop data mining structures for managing data collection.
• May supervise lower-level staff.
  
  

Minimum Qualifications

Non-Competitive: Seven years of experience in data visualization, and statistical models and data mining tools.

• Substitutions: 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 data visualization tools (e.g., Tableau, Power BI).
• Experience in SQL querying and scripting languages (Python, R, etc.).
• Experience with data warehousing, data lakes, and data pipelines.
• Experience working with complex datasets, including both structured and unstructured data.
• Excellent communication and collaboration skills.
• Strong problem-solving and analytical skills to identify and solve data-driven problems.
• Ability to work independently and manage multiple projects simultaneously.
  
  

NOTE: IN ORDER TO AWARD THE PROPER CREDIT FOR WORK EXPERIENCE, RESUMES MUST INCLUDE MONTH AND YEAR FOR START AND END DATES. IF ANY OF THIS EXPERIENCE IS LESS THAN FULL TIME YOU MUST INDICATE THE AVERAGE NUMBER OF HOURS WORKED PER WEEK.

Additional Comments

The Office of General Services (OGS) is an equal opportunity employer, and we recognize that diversity in our workforce is critical to fulfilling our mission. We encourage applicants from all communities to apply.

For a full version of OGS’s EEO/AA statement and benefits joining Team #OneOGS, please visit http://www.ogs.ny.gov/employment.

NOTE ON TELECOMMUTING: Employees are required to apply and obtain approval through management to telecommute according to the agency’s Telecommuting Program Guidelines.