Review Vacancy

Date Posted: 10/19/21
Applications Due: 11/02/21
Vacancy ID: 92992

Position Information

AgencyState Comptroller, Office of the

TitleProject Assistant - Item # 03003

Occupational CategoryNo Preference

Salary Grade25

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

Salary RangeFrom $86432 to $108935 Annually

Employment Type Full-Time

Appointment Type Temporary

Jurisdictional Class Competitive Class

Travel Percentage 0%

Schedule

Workweek Mon-Fri

Hours Per Week 37.5

Workday

From 8 AM

To 4 PM

Flextime allowed? No

Mandatory overtime? No

Compressed workweek allowed? Yes

Telecommuting allowed? No

Location

County Albany

Street Address 110 State Street

City Albany

StateNY

Zip Code12236

Job Specifics

Minimum Qualifications · At least eight (8) years of progressively responsible statistical, quantitative or data analytics experience, including data mining/modeling and implementing sustainable analytical tools, processes and policies AND

· One (1) years of supervisory experience AND

· Four (4) years of audit experience.

EDUCATION:

An Associate’s degree in computer or information science, economics, finance, accounting, mathematics or statistics may be substituted for two (2) years of the general experience.

A Bachelor’s degree in computer or information science, economics, finance, accounting, mathematics or statistics may be substituted for four (4) years of the general experience.

A Master’s degree in computer or information science, economics, finance, accounting, mathematics or statistics may be substituted for one (1) year of the general experience.

Duties Description Research Analysis and Evaluation:

· Obtain and develop information to plan and execute various initiatives for special projects to determine sources of data and collection methods for specific audits and projects.

· Develop and implement systems to capture, analyze and report results for use in assessing audit risk.

· Research, collect, cleanse/process, analyze and evaluate large data sets using advanced analytical software.

· Analyze and interpret results for audit staff for use in audit planning and audit fieldwork and for audits and special reports on specific programs.

· Develop data analysis approaches that incorporate data mining and statistical computer modeling techniques using highly specialized software to extract and analyze.

· Interpret and evaluate results, contribute to establishing project workflows, and document methodology.

· Prepare written reports of the analysis and findings along with recommended courses of action based on the findings.

· Assist staff in understanding data files and develop approaches for interpreting and analyzing the data.

· Make use of results to improve and enhance analytical techniques, and data modeling and data mining efforts.

Supervision:

· Responsible for supervision, development and evaluation of all staff working on projects.

· Provide formal and informal (on-the-job) training to employees on the most efficient and effective analytical techniques

· Supervise and train audit staff on the proper use of analytical techniques and software.

Professional Development:

· Seek out and obtain specialized training in broad range of technical skill sets to provide formal and informal (on-the-job) training to employees on the most efficient and effective analytical techniques.

Evaluate Acquisition of New Software:

· Evaluate acquisition of new software.

· Learn how to use new software and assesse its usability and functionality for the projects.

· Transfer knowledge to coworkers so they can become skilled at using new software.

Additional Comments Candidate should possess:

· Exceptional analytical proficiency. Ability to collect, evaluate, and analyze a range of raw data sets from diverse sources; plan and execute initiatives for audits and special projects.

· Experience using data analytics to assist identifying audit risks and to help address audit objectives.

· Experience using ACL, SQL and data mining.

· Highly organized, with the ability to independently develop a major data analytic project collaboratively as part of a team and providing technical support to staff both formally and informally in use of analytical techniques.

· Strong verbal and written communication skills, including the ability to explain highly technical information to others and promote strategic organizational plans and goals.

· Excellent interpersonal skills with the ability to collaborate with and motivate others, working with internal and external project partners.

· Attention to detail. Demonstrated ability to document technical methodologies and contribute to developing project work flows and systems.

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

Contact Information

Name Sara Burt

Telephone (518) 474-1924

Fax (518) 486-6723

Email Address recruit@osc.ny.gov

Address

Street Office of Human Resources

110 State Street, 12th Floor

City Albany

State NY

Zip Code 12236

 

Notes on ApplyingInterested candidates should submit a cover letter and resume and the attached template https://web.osc.state.ny.us/recruit/docs/03003_Project_Assistant_MQTemplate_09_2021.doc to recruit@osc.ny.gov no later than November 2, 2021. Please reference Item #03003-GOER-SAB in the subject line and on the cover letter.


PLEASE NOTE: To obtain the required template; copy and paste the hyper link into your browser, download and save the template

PLEASE NOTE: All candidates MUST complete this template in full to demonstrate they meet the minimum qualifications. Candidates will be selected for interview based SOLELY on the contents provided by them on this template.

IMPORTANT: It is imperative that you provide specific examples to demonstrate your experience for each of the required qualifications listed in this template. Please ensure that you have fully described how you meet the qualifications by providing a FULLY DETAILED description of your experience. Any ambiguity, vagueness, or omissions will not be decided in the candidate’s favor.

When responding, please include the reference number and letters listed in this section. The GOER ID # should not be included.