Operations Data Analyst

The New York City Department of Correction (DOC) is an integral part of the City’s evolving criminal justice system, participating in reform initiatives and strategies aimed to move the City towards a smaller jail system without compromising public safety. The DOC is responsible for maintaining a safe and secure environment for our employees, visitors, volunteers, and people in our custody. Importantly, safe jails enable DOC to provide people in custody with the tools and opportunities they need to successfully re-enter their communities. The DOC operates facilities and court commands across the five boroughs with more than 7,500 diverse professionals and knowledgeable experts.

The Operations Research Team is tasked with improving the systems and processes within the Department of Correction, with a focus on decreasing violence, optimizing systems, and identifying efficiencies that support meeting minimum standards for those in our care, and decreasing operating costs. It’s a small team, with an outsized impact, offering growth opportunities for the right candidate. The current team includes specialists with quantitative backgrounds in various mathematical and data-related fields that leverage data-driven approaches to accomplish these goals. Reporting directly to the Director of Operations Research, the successful candidate for this position will assist senior analysts in their work. The ideal candidate will be able to perform a wide variety of job duties, including but not limited to:

- Collect data from various sources including databases, spreadsheets, and other data
repositories;
- Perform data entry if needed;
- Collaborate with the Data Analytics team (among others) to understand data sources,
definitions, and quality issues;
- Clean and preprocess data to ensure accuracy, consistency, and completeness. Curate
datasets for the team;
- Prepare reports and dashboards to communicate analysis results to stakeholders;
- Document data processes and workflows for future reference using graphical modeling
techniques;
- Conduct literature reviews on best analytics practices;
- Support research projects;
- Take detailed notes during meetings to capture action items, decisions, and key points for
follow-up;
- Provide administrative support to the Assistant Commissioner and Director as needed;
- Work on special projects and other related tasks

1. A baccalaureate degree from an accredited college including or supplemented by 24 semester credits in computer science or a related computer field and one year of satisfactory full-time computer software experience in computer systems development and analysis, applications programming, database administration, maintenance and support, systems programming, data communications, mainframe development, mobile development, web development and design; or

2. A four-year high school diploma or its educational equivalent and five years of satisfactory full-time computer software experience as described in "1" above; or

3. Education and or/or experience equivalent to "1" or "2" above. College education may be substituted for up to two years of the required experience in "2" above on the basis that 60 semester credits from an accredited college is equated to one year of experience. In addition, 24 semester credits from an accredited college or graduate school in computer science or a related field, or a certificate of at least 625 hours in computer programming from an accredited technical school (post high school), may be substituted for one year of experience. However, all candidates must have at least a four-year high school diploma or its educational equivalent and at least one year of satisfactory full-time experience as described in "1" above.

The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.