Review Vacancy

Date Posted: 11/21/24
Applications Due: 12/06/24
Vacancy ID: 173360

Position Information

NY HELPNo

AgencyGeneral Services, Office of

TitleData Analyst 2

Occupational CategoryOther Professional Careers

Salary Grade23

Bargaining UnitPS&T - Professional, Scientific, and Technical (PEF)

Salary RangeFrom $84156 to $106454 Annually

Employment Type Full-Time

Appointment Type Contingent Permanent

Jurisdictional Class Non-competitive Class

Travel Percentage 10%

Schedule

Workweek Mon-Fri

Hours Per Week 37.5

Workday

From 9 AM

To 5 PM

Flextime allowed? No

Mandatory overtime? No

Compressed workweek allowed? No

Telecommuting allowed? Yes

Location

County Albany

Street Address Corning Tower, Empire State Plaza

City Albany

StateNY

Zip Code12242

Job Specifics

Minimum Qualifications Current New York State employee with one year or as a Data Analyst 1 OR bachelor’s degree and three years of experience* in data visualization, and statistical models and data mining tools.

*Substitution: A master’s degree in data or computer science, informatics, economics, statistics, mathematics, or a related field, may substitute for one year of the specialized experience. A Ph.D. in the above fields may substitute for two years of the specialized 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.
• Familiarity with GIS data and platforms (ArcGIS, etc.).
• Strong problem-solving and analytical skills to identify and solve data-driven problems.
• Ability to work independently and manage multiple projects simultaneously.

Duties Description
• Collaborate with DAO staff to ensure the incorporation of established standards and protocols for enterprise data analysis.
• 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.
• Some travel required (10%).

#LI-DNI

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

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.


Some positions may require additional credentials or a background check to verify your identity.

Contact Information

Name Human Resources/AJ

Telephone 518-473-5282

Fax 518-486-1631

Email Address HRresumes@ogs.ny.gov

Address

Street NYS Office of General Services, HRM

31st Floor Corning Tower, Empire State Plaza

City Albany

State NY

Zip Code 12242

 

Notes on ApplyingPlease submit a resume and cover letter detailing how you meet the minimum qualifications. Indicate the Position Title & Vacancy ID number of each position you are applying to.