Property Data Analytics Intern
- DEPARTMENT OF FINANCE
- Full-time
Location
MANHATTAN
- No exam required
Department
Data Analytics Report Plan Grp
Job Description
This vacancy has now expired.
NYC Department of Finance (DOF) is responsible for administering the tax revenue laws of the city fairly, efficiently, and transparently to instill public confidence and encourage compliance while providing exceptional customer service.
Property Valuation and Tax Mapping is responsible for valuing more than one million properties in the city and overseeing assessments and valuations in a fair and equitable manner. The valuations enable the efficient and effective collection of property tax revenues for New York City.
The Property Valuation Division is seeking a summer graduate intern for the Property Data Analytics, Reporting and Planning (PDARP). The Property Division is responsible for the valuation of more than one million properties annually. PDARP provides analytical support for executive initiatives including statistical summaries, designing reports based on extremely large datasets, property valuation analysis and assist assessors in developing more analytical capabilities by providing tools that leverage technology.
The selected candidate will assist in designing reports and statistical summaries using SAS or another programming language, building Power BI dashboards and developing new automation workflows to help with Property Valuations and ensure data integrity between Vision and PTS. The department is implementing multiple projects including dashboard development, restructuring /automating multiple statistical summary reports, and designing operational process upgrades. This is an excellent opportunity for a summer graduate intern to assist with these initiatives.
Responsibilities include, but are not limited to, the following:
- Report development and statistical analysis using SAS or other programming languages.
- Perform data extraction using SQL and prepare data overlays using ArcGIS.
- Assist in building dashboards in Power BI and developing automation workflows.
- Ensure data quality between Vision and PTS.
- Develop documentation.
Candidates must be currently enrolled in a graduate degree program in an accredited college, university or law school.
- Proficiency in using SAS, R, or other programming languages. - Proficiency in using relational databases and extracting data using SQL. - Experience with data modeling techniques and working with large datasets. - Proficiency in ArcGIS, MS Word, Excel, PowerPoint, Power BI and Power Automate. - Ability to communicate effectively, verbally and in writing. - Strong qualitative and quantitative analytical skills.
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.
Job ID
624813
Title code
10232
Civil service title
SUMMER GRADUATE INTERN
Title classification
Non-Competitive-5
Business title
Property Data Analytics Intern
Posted until
2024-03-13
- Student
Job level
00
Number of positions
1
Work location
66 John Street, New York, Ny
- Technology, Data & Innovation