The New York City Department of Investigation (DOI) is one of the oldest law enforcement agencies in the country with a mission of combating municipal corruption. It serves the people of New York City by acting as an independent and nonpartisan watchdog for New York City government, City agencies, and City employees, vendors with City contracts, individuals and entities that receive City funds.

DOI's Office of the Inspector General for the New York City Police Department (OIG-NYPD) is authorized to investigate, review, study, audit and make recommendations relating to the operations, policies, programs and practices of New York Police Department (NYPD), with the goal of enhancing effectiveness, increasing public safety, protecting civil liberties and civil rights, and increasing the public's confidence in the police force.

DOI's OIG-NYPD is seeking an Associate Data Analyst who will supervise at least one data analyst while supporting active investigations into the operations, policies, practices and programs of the NYPD.

In this role the Associate Data Analyst will:

- Develop and enhance data practices for generating investigative leads through patterns and trends related to the operations, policies, programs, and practices of the NYPD.
- Develop and implement data harvesting, data analytics and other strategies that optimize statistical efficiency and quality, and oversee the work of those conducting the analysis.
- Acquire data from primary or secondary sources and maintain databases/data systems.
- Develop quality assurance systems for data and manage processes to ensure data quality.
- Develop strategies to utilize machine learning to enhance the work of OIG-NYPD.
- Perform complex statistical analyses of sample and aggregate data sets to identify patterns, trends, and systemic issues.
- Work as an advisor on systemic and individual investigations into the practices of NYPD.
- Develop new methods for collecting data, new database applications for archiving and retrieval of statistics, and maintenance of records.
- Develop error checking programs to determine if the data collected is reliable, timely, and valid.
- Create and maintain databases, while preparing data sets for statistical analysis, including data cleaning and formatting.
- Communicate clearly and effectively through compelling reports, presentations, and visualizations.
- Conduct data related interviews connected to systemic and individual investigations.
- Conduct policy assessments, memos and external correspondence.
- Create data graphics.
- Determine the preservation method of datasets and files related to the analytical work conducted for systemic and individual investigations.

If selected, the candidate will be fingerprinted and undergo a background investigation. In addition, for positions that have a law enforcement and/or investigative function, the candidate's consumer credit history will be reviewed during the background investigation, and as otherwise permitted by NYC Administrative Code 8-107(24)(b)(2)(A).

1. A baccalaureate degree from an accredited college or university and four years of data processing experience; two years of which must have been in internal control/quality assurance or computer science.
2. Education and experience equivalent to "1" above.

- Master’s degree or advanced coursework in computer science, information systems or related field. - Strong analytical, written and verbal communication skills. - Experience using statistical modeling techniques to analyze policy research questions related to social policy, policing, and government. - Advanced knowledge of Excel and extensive experience with and proficiency in statistical computing software or data analytic environments (e.g., SAS, SPSS, Stata, SQL/NoSQL databases including ETL, Python, R, Tableau), including the ability to analyze large and complex datasets for patterns and trends, and build statistical models. Preference will be given to those with additional experience with geographical mapping software like ArcGIS. - Knowledge of one or more data visualizations tools such as i2 Analyst Notebook, Cognos, Tableau, R libraries, D3.js and SAS. - Knowledge and experience with statistical and datamining concepts such as significance testing, regression, decision trees, clustering, forecasting, sampling, and scenario analysis. - Be familiar with Big Data platforms and Cloud tools data mining, data cleaning, data warehousing and structures and one or more RDBMS systems. - High proficiency in sampling techniques. - Excellent analytical, verbal, and written communication skills and ability to translate complex, technical information for colleagues and consumers who have nontechnical backgrounds. - Knowledge of, and demonstrated interest in, criminal justice, law enforcement, police accountability, and/or civil rights issues - Excellent organization and time management skills. - Superb judgment. - Ability to exercise discretion on sensitive or confidential matters. - Familiarity with NYPD policies, procedures, operations and regulations and New York City government a plus. - Thorough when performing work and conscientious about attending to detail.

As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education’s website at https://studentaid.gov/pslf/.

New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.

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.