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Department of Finance · 22 hours ago

Business Data Analyst

Manhattan, NY

Full-time

Hybrid

Mid, Senior Level

$94K/yr - $101K/yr

2+ years exp

The NYC Department of Finance (DOF) is responsible for administering the tax revenue laws of the city. They are seeking a Business Data Analyst to enhance operational efficiency and promote technology adoption within the Financial Management Division by collaborating with teams, contributing to the Workday conversion project, and maintaining business automation projects.

CommunitiesFinanceFinancial ServicesGovernment

Responsibilities

Collaborate with different teams to understand their needs and translate them into technical requirements

Contribute to the ongoing Workday conversion project, documenting current business processes to be configured in the platform

Responsible for E2E (End to End) testing of various processes

Assist in the design, development, and implementation of reports and workflows, based on business requirements in Workday, as well as creating visualizations using Power BI for division managers

Maintain various business automation projects using SharePoint and Power Platforms (including Power Automate, Power Apps, SharePoint, Power BI, Power Page, etc.)

Document all processes, prepare technical documentation, and provide training and support to end-users

Support the Financial Management office with other special projects as assigned

Qualification

Data analysisWorkdayPower BIERP systemsSharePointAnalytical thinkingProactiveEffective communicationDetail-orientedTeamwork

Required

A master's degree from an accredited college or university in social science, economics, statistics, computer science, data analysis, geography, sciences, technology, engineering, mathematics (STEM), or a closely related field, with at least 12 credits or five courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography or computer science

A baccalaureate degree from an accredited college or university as described in "1" above and two years of full-time, professional experience performing statistical analysis and programming work in any of the areas described in "1" above

To be eligible for placement in Assignment Level II, individuals must have, in addition to meeting the minimum requirements, at least one year full-time work experience in a related field, or a master's degree from an accredited college or university, in the areas described in "1" above, with at least 12 credits or three advanced courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography, or computer science

To be eligible for placement in Assignment Level III, individuals must have, in addition to meeting the minimum requirements of Level II, at least three years full-time work experience in a related field, or a Doctorate degree from an accredited college or university, in the areas described above, with at least 12 credits or three advanced courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography or computer science