Under general supervision, positions allocated to this class perform specialized data engineering and analysis functions to develop data driven solutions for the use of informed, actionable, strategic decisions, and performs related duties as required.

Essential Duties:

• Meet with managers to identify the scope of problems and define the objectives of various studies and data-driven projects.
• Evaluate complex business and operational systems and draft detailed functional flows and models to assess current methods, data processes, methodologies, and modeling techniques.
• Interface with senior leadership, program managers, and external stakeholders to identify, evaluate, and define opportunities for improved efficiency, cost savings, and process and policy improvements throughout the department.
• Develop work plans and data collection processes to achieve observed objectives to enhance decision-making while effectively communicating findings, interpreting complex data, and guiding the department's operations.
• Write, review, and edit reports and manuals documenting study results, recommending changes to improve operations, and possibly present new or revised processes, procedures, and work standards to managers and team members.
• Extracting information from structured, semi-structured, and unstructured data using statistical methods and algorithms that find patterns and relationships in large volumes of data.

NOTE: The list of essential duties is not intended to be exhaustive; there may be other duties that are essential to particular positions within the class.

Location: 3510 S. Michigan Ave, Chicago IL, 60653

Days: Monday through Friday

Days Off: Saturday and Sunday

Hours: 9:00 a.m. - 5:00 p.m.

Salary: $119,244

THIS POSITION IS IN THE CAREER SERVICE

Qualifications

• Graduation from an accredited college or university with a Bachelor's degree in Data Analytics,

Statistics, Mathematics, Economics, Computer Science, or Information Technology/Systems or

a directly related field, plus three (3) years of experience in data analysis or data management

• Should the above criteria not be fulfilled, the following options are acceptable:

• Graduation from an accredited college or university with a Master's degree or higher in Data Analytics, Statistics, Mathematics, Economics, Computer Science, or Information Technology/Systems or a directly related field, plus two (2) years of experience in data analysis or data management
• Graduation from an accredited college with an Associate's degree in Data Analytics, Statistics, Mathematics, Economics, Computer Science, or Information Technology/Systems or a directly related field, plus five (5) years of experience in data analysis or data management
• Seven (7) years of experience in data analysis or data management.

Disclaimer - "Accredited" means any nationally or regionally accredited college, university, or law school where the applicant is enrolled in or has completed an Associates, Bachelors, Masters, or Juris Doctorate degree program.

SELECTION REQUIREMENT : This position requires applicants to complete an interview which includes a skills assessment. The interviewed candidate(s) possessing the qualifications best suited to fulfill the responsibilities of the position will be selected for hire.

Preference will be given to candidates possessing the following:

• A Master's degree in Data Analytics, Statistics, Mathematics, Economics, Computer Science, or Information Technology/Systems or a directly related field.
• Previous professional experience creating, managing, or using databases and database software.
• Previous professional experience in a role or field related to statistical analysis and modeling.
• Previous professional experience requiring the collection, analysis, and written summarization of quantitative and/or qualitative data.
• Previous professional experience creating data visualizations.
• Previous professional experience working with data management tools such as R, Tableau, Python, SPSS or Proficiency working with SQL
• Knowledge of and experience with applied data science in the context of criminal justice, policing, or public policy.

Residency Requirement: All employees of the City must be actual residents of the City as outlined in 2-152-050 of the City Chicago Municipal Code. Proof of residency will be required.

APPLICATION EVALUATION: Initial evaluation will be based on information provided on the application and the documents submitted. The Department of Human Resource staff will review applications after the final posting date. Staff will follow any and all required Employment/Hiring Plan provisions, federal, state and local laws, and Collective Bargaining Agreements when applicable. Staff will apply hiring preferences as required by the municipal code. Placement on an eligibility list is not an offer or guarantee of an interview nor employment with the City of Chicago.

COMMITMENT TO DIVERSITY: To further our commitment to hiring applicants with diverse experience the City of Chicago has adopted the following ordinances 2-74-020 and 2-74-075. The ordinances provide a preference for applicants who meet minimum qualifications and who are veterans of the Armed Forces, and/or residents of Socio-Economically Disadvantaged Areas (SEDA) and/or Chicago Public School (CPS) high school graduates to be referred to departments for consideration. These hiring preferences do not apply to bidders, as Collective Bargaining Agreements define the hiring process for bidders. For positions covered by a collective bargaining agreement, bidders will be considered before external candidates. To learn more about our hiring practices click here.

ALL REFERENCES TO POLITICAL SPONSORSHIP OR RECOMMENDATION MUST BE OMITTED FROM ALL APPLICATION MATERIALS SUBMITTED FOR CITY EMPLOYMENT.