Position Title Data Analyst
NYPA Business Unit Customer Solutions
Experience Level 1 (1-5 years)
Work Location White Plains Office
Anticipated Start Date Immediate
Duration of Assignment 12 month(s)
Project/Assignment Staff Augmentation
CWP Manager Christine.Prendergast@nypa.gov
Date of Posting 07/07/2026
Due Date 07/22/2026
Work Schedule
Monday through Friday. 7.5-hour workday with .5-hour unpaid lunch. Paid for actual time worked; there are no paid vacation or sick days. During NYPA and Canals holidays, the business is closed, and no work is permitted. NYPA requires a hybrid schedule of a minimum of 3 days on-site, up to including fully on-site depending on department requirements.
CWPO Engagement Requirements
Candidates are REQUIRED to be local to Tri-State area and in W2 tax status as employee of Service Provider.
Fully remote positions are prohibited. Hybrid schedules are permissible with a minimum of 3 days on-site depending on assignment and can be fully on-site depending on business needs. Remote work privileges can be revoked at any time.
NYPA does not provide laptops. Instead, NYPA provides desktops and dedicated workstations which candidates will remote into from their personal equipment on virtual days.
If candidate does not have proper equipment, internet connection, or he/she is deemed to not work effectively from home, the hybrid privilege will be revoked.
Vendors must disclose foreign national status and all Visas at the time of candidate submission. Additionally, a Benefits Waiver and Ethics Disclosure will be required by all candidates during onboarding.
Submission Instructions
Your email submissions must contain:
The LEGAL name of candidate (no aliases, monikers, or nicknames)
Job Broadcast number in your email subject header
Visa work authorization, if applicable
For job broadcasts outside your contractual compensation schedules, use competitive rates based on local and state compensation.
NYPA CWP staff will contact you if your candidate is selected to be interviewed, which is usually via MS Teams. Please inform your candidates that an interview does not indicate acceptance of the proposed labor rates.
NYPA prohibits the use of any AI tool during interviews.
For all questions or concerns, please contact Christine Prendergast at Christine.Prendergast@nypa.gov.
Project Overview
This Data Analyst will support and assist a team of analysts in performing analytics in the in the Market Forecasting Services (MFS) Group at the New York Power Authority. This position supports the teams efforts in refining requirements and collaborating with NYPA staff to develop Tableau and PowerBI dashboards and recurring plug and play reports. The supporting data models would be pulling data from various sources and types; such as Legacy Excel models/data sets, SharePoint Lists, SQL Server databases, etc.
Job Functions & Responsibilities
The qualified candidate will be able to expertly assist in providing direction and/or developing PowerBI and/or Tableau dashboards and foundational data model and transformations in collaboration with the MFS team.
Converting Legacy Excel models into Tableau and/or PowerBI models.
Provide subject matter expertise and assistance in developing PowerBI/Tableau visualization solutions based on requirements provided by MFS team.
Assess requirements and analyses and make recommendations.
Incorporate the use of M365 and Microsoft Power Platform components.
Connect to multiple source data systems on varied platforms.
Creating databases of legacy information and establishing links to Tableau/PowerBI to create custom dashboards.
Provide the team with advance analytics by defining and refining slicers, filters, and Legends across Dashboard reports.
Skills
Excellent communication skills and ability to work in Team environment.
Extensive experience in the Microsoft Power Platform MS PowerApps, Excel, Access and specifically, visualization software PowerBI.
General understanding of building SQL Databases.
Keen understanding PowerApps formulas and development methods.
Understanding of how to implement solutions with multiple data sources.
Education & Certifications
4 year degree