Position Information

NY HELPNo

AgencyGeneral Services, Office of

TitleData Analyst 2 - VID 218847

Occupational CategoryFinancial, Accounting, Auditing

Salary Grade23

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

Salary RangeFrom $86681 to $109650 Annually

Employment Type Full-Time

Appointment Type Permanent

Jurisdictional Class Non-competitive Class

Travel Percentage 0%

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 36th Floor, Corning Tower, Empire State Plaza

City Albany

StateNY

Zip Code12242

Job Specifics

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.

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

How to Apply

Name Human Resources/ZP

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 to HRresumes@ogs.ny.gov detailing how you meet the minimum qualifications along with the month/year and, if less than full time, the average hours worked per week for each position listed. Indicate the Position Title & Vacancy ID number of each position you are applying to.