Address
Form of workPosition: Data Analyst
Unit: Organized Retail & House Theft Taskforce
Supervisor: Supervisor of Economic Crimes Division & Director of Research
Application Deadline: January 19, 2024
As a Data Analyst in the District Attorney’s Transparency Analytics (DATA) Lab, you are a member of a team of innovators who are rethinking and reshaping how a prosecutor’s office functions in the 21st Century. Our mission is to use data, research, and advocacy to inform internal policies and practices; increase equity, transparency, and accountability; and reduce harms through prosecutorial and systems reform in Philadelphia and beyond. The Data Analyst will work with other DATA Lab analysts, researchers, and operations staff as well as DAO staff and partners throughout Philadelphia and the criminal legal system policy landscape.
Specific areas of focus will include arrests and cases stemming from the Organized Retail & House Theft Taskforce, and include projects analyzing the impact of the Task Force on crime and case outcomes and supporting the mission of the Task Force. The analyst will collect data regarding particular areas of the city that are being hit for retail theft and house or property theft, identify patterns, and make connections among incidents; chart our progress in terms of number of prosecutions as well as the outcomes from those prosecution; work with the Philadelphia Police Department, as well as other local state and federal government agencies in order to collect data and share information on particular targets; assist in the investigations alongside prosecutors from the early stages through trial. In addition, they will conduct analyses, contribute to projects, and develop data tools to support the work of the District Attorney’s Office (DAO).
While supporting the Economic Crimes Unit and Task Force, this position reports to and works closely with the DAO DATA lab. The Data Analyst will also work with other DATA Lab Analysis, Research, and Operations team members and Directors to support the development, completion, and dissemination of projects and work product.
How You Will Make an Impact
- Contribute as part of a unique and nationally recognized team doing innovative research and analysis of the criminal legal system from within a prosecutor’s office.
- Open the doors of the office to community members and research partners by leveraging prosecution data through direct data sharing, our public data releases, data stories, analyses, and DAO-sponsored studies. Help communicate the goals of the office through data.
- Assist DAO practitioners in the operation of the office, including identifying and managing case lists, understanding case outcomes, and viewing what is actually happening among criminal justice system actors at a high level.
- Help practitioners at the DAO understand the impact of their decision-making by conducting new analyses of rarely studied criminal legal data. Inform policy decisions using data analysis.
- Build a research and data culture at the DAO.
What You’ll Need to Succeed: Desired Qualifications
- The education and experience. A bachelor’s or master’s degree or certifications with a background in an analytical field desired. Candidates should have a minimum of 2 years in the field of data analysis and/or GIS. Experience exceeding the minimum requirement as well as a proven track record of work may stand in for a degree. Previous exposure to criminal justice data a plus.
- A demonstrated ability to conduct analyses and program in an R environment, with familiarity working with the tidyverse family of packages. For GIS Analysts, the ability to read, analyze, and export geospatial data in R. Considerations will be made for expertise in a comparable language with an ability to transition to R. Familiarity with Git and Github for code management a plus. Familiarity with writing and testing functions, package development and other such concepts a plus.
- Effective communication skills. You will split your time between heads-down work and team collaboration. The ideal candidate will have the ability to communicate complex data and analyses to a wide variety of audiences and levels of expertise.
- Pride. You enjoy your work and getting a job done well. You want to be part of a team that promotes their accomplishments and sees the difference they make.
- Ownership. You can be counted on to deliver the best solution in collaboration with your team. You take ownership for your work, your tasks, your timelines.
- Driven. You want to be challenged and you are constantly seeking new opportunities to learn, gain and apply new skills and knowledge.
Duties & Responsibilities
- Conduct data analyses on topics related to crime and the criminal legal process, particularly relating to Organized Retail theft, house and deed theft, and economic crimes.
- Develop and manage work on 3-4 analytics projects at any given time.
- Work closely with the Economic Crimes Unit as a member of the Organized Retail & House Theft Taskforce.
- Assists the analytics leadership team in the development and coordination of other internal and external projects and emergent tasks as needed.
- Contribute to the DATA Lab’s knowledge base by writing memos on analytical topics and adding tools and functions to the shared code repository.
- Act as a peer reviewer of work done by other analysts on the team, providing an initial code review and offering feedback to the author.
- Bring findings to the attention of the analytics team and the DATA Lab leadership team.
- Other duties as needed to advance the mission of the DAO and DATA Lab.
What You’ll Gain
- Top tier City of Philadelphia Employee benefits including health, dental and vision insurance among others
- Learning and development opportunities
- Generous retirement savings options available (pension plan etc.)
- We are a Public Service Loan Forgiveness (PFLF) Program qualified employer
- Annual paid time off (PTO) package: 10 vacation days, 15 sick leave days, 11 paid holidays, 5 annual administrative leave
- Our wellness program offers eligibility into the discounted medical plan
- Before tax commuter program
- Health care and Dependent care flexible spending accounts
- Sick leave bonuses and exchanges
- Employee Assistance Program (EAP)
Annual Salary Range
$ 65,000 – 75,000
Promotion Pathway
Successful Data Analysts who have gained the necessary experience and excel in their current role are eligible for consideration to be promoted to Senior Data Analyst.
