Data Analyst 1

#2485 - Data Analyst 1

Work with business units to develop and build models in support of analytic use cases; drafts technical requirements and data definitions; provides input on current approaches and recommends improvements to best achieve goals; reviews and suggests improvements to current or planned systems and processes; performs data extraction, aggregation, and quality checks from multiple sources and tables in support of trend identification and root cause analysis; summarizes results, creates written reports and collaborates with staff to develop business intelligence solutions.

As a Data Analyst 1, you will use your technical and analytical skills to evaluate a range of government programs and program areas including policy, procedures, operations, objectives and cost effectiveness to determine actual or potential risk. You will research, identify, and evaluate data sources to determine reliability or usability limitations, and collect, manipulate, analyze, and interpret data, and present results to supervision, covering conclusions and recommendations based on evaluations made.

Position Summary:


Item #: 00777
Bargaining Unit: PS&T - Professional, Scientific, and Technical (PEF)
Division: State Government Accountability
Bureau: State Audit
Jurisdictional Class: Non-competitive
Appointment Type: Permanent
Salary Grade: 018
Salary Range: $53,764-$85,138
Employment Type: FULL TIME
Occupational Category: Other Professional Careers
NY HELPS: No
Travel Percentage: 5%
Work Week: Monday - Friday
Work Hours: 8:00 am - 4:00 pm
Shift: Day
Mandatory Overtime: No
Compressed Workweek Allowed: Yes
Telecommuting Allowed: Yes

How to Apply:

To be considered for this position, you must create a candidate profile or log in to your profile and upload the documents listed below.

• Resume
• Cover Letter
• Minimum Qualifications Template
• College Transcripts

Please ensure item number 00777-BEP is included in each document's file name. Template and transcripts are required. Interview selection is based solely on the information provided in the template.

Minimum Qualifications:

To be appointed to Data Analyst Trainee 1 (equated to SG-14), you must have:

• Four (4) years of professional experience in data visualization and statistical models and data mining tools

OR

• A bachelor's degree or higher in Data or Computer Science, Informatics, Economics, Statistics, Mathematics, or a related field

To be appointed to Data Analyst Trainee 2 (equated to SG-16), you must have:

• Five (5) years of professional experience in data visualization and statistical models and data mining tools

OR

• A bachelor's degree in Data or Computer Science, Informatics, Economics, Statistics, Mathematics, or a related field AND one (1) year of experience in Data Visualization, and Statistical Models and Data Mining tools.

OR

• A master's degree or higher in Data or Computer Science, Informatics, Economics, Statistics, Mathematics, or a related field.

To be appointed to Data Analyst 1 (SG-18), you must have:

• Six (6) years of professional experience in data visualization and statistical models and data mining tools

OR

• A bachelor's degree in Data or Computer Science, Informatics, Economics, Statistics, Mathematics, or a related field AND two (2) year of experience in Data Visualization, and Statistical Models and Data Mining tools.

OR

• A master's degree in Data or Computer Science, Informatics, Economics, Statistics, Mathematics, or a related field AND one (1) year of experience in Data Visualization, and Statistical Models and Data Mining tools.

OR

• A Ph.D. in Data or Computer Science, Informatics, Economics, Statistics, Mathematics, or a related field.

Preferred Qualifications/Knowledge, Skills and Abilities:

• Proficient at conducting data processing, data formatting, and data analysis.
• Have computer programming experience (e.g., R, Python, Java, C++).
• Strong critical thinking and professional judgement.
• Strong analytical thinker with excellent troubleshooting and problem-solving skills.
• Strong attention to detail.
• Excellent verbal and written communication skills.
• Demonstrated ability to work both independently as well as collaboratively in a dynamic team environment.

Traineeship Salary Information:

The position may be filled at the Data Analyst Trainee 1 equated to SG-14 ($53,764), Data Analyst Trainee 2 equated to SG-16 ($59,994), or full performance Data Analyst 1 SG-18 ($66,951) based on the candidate's education, experience, and previous state service. Salary is nonnegotiable.


Candidates hired at the trainee level will be advanced to the full performance Data Analyst 1 SG-18 following successful completion of the traineeship.


Contact Information:

If you have questions about this vacancy, please contact:

Division Contact:

Kimberly A. Bott
View email address on click.appcast.io

Human Resources Contact:

Brittany Pebler
View phone number on click.appcast.io
View email address on click.appcast.io

The Office of the State Comptroller does not participate in E-Verify or sponsor visa applications.

Telecommuting


The Office of the New York State Comptroller (OSC) supports telecommuting where it is reasonable to do so based upon the agency's mission and operational needs. Generally, employees new to OSC will be restricted from telecommuting for at least 8 calendar weeks. After the initial 8 calendar week restriction, if an employee's primary residence location, duties and work performance are aligned with telecommuting they may be allowed to do so. Upon approval to telecommute, OSC employees may telecommute up to 5 days per pay period.

Reasonable Accommodation

The NYS Office of the State Comptroller provides reasonable accommodation to applicants with disabilities. If you need reasonable accommodation for any part of the application and hiring process, please notify the Division of Human Resources at View phone number on click.appcast.io.

Equal Opportunity Employment

The Office of the NYS Comptroller values a workforce with a broad, diverse range of backgrounds and perspectives. All employees are expected to contribute to a professional environment focused on self-evaluation and improvement, as well as acceptance and support of coworkers.


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