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Senior Management Analyst
The Port Authority Of New York & New Jersey
Build analytics, dashboards, and workflow automation for OSD using Python, SQL, Power BI.
7d ago
Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Jersey City, NJ
Office Full-Time
Company Size
7,500 Employees
Service Specialisms
Operations
Transportation planning and analysis
Revenue collections
Engineering
Maintenance
Sector Specialisms
Airports
Bridges
Tunnels
Seaports
Rail transit
Marine Terminals
Intermodal Freight Transport
Railroads
Role
What you would be doing
azure devops
synapse pipelines
power bi
data analysis
sql python
sharepoint
- Coordinate and collaborate with analysts, system analysts, and technology department to expand warehouse capabilities.
- Partner with OSD divisions and SMEs to capture requirements and translate them into data solutions.
- Maintain the department’s Azure DevOps repositories , ensuring structured version control and documentation.
- Provide ad hoc data analysis to support operational decision-making.
- Support preparation of raw data storage in Azure Synapse Private End Points and apply SQL, Python, or Synapse UI transformations to ready data for the OSD DAW.
- Develop and maintain queries, datasets, and reports using Python, SQL, Excel, and Power BI.
- Update, organize, and support existing scripts and code libraries.
- Promote adoption of data-driven practices to improve customer service and operational efficiency.
- Train staff on dashboards, forms, and workflow automation.
- Perform QAQC and troubleshoot data issues to ensure report accuracy and reliability.
- Train and support staff in using Microsoft tools to improve efficiency.
- Assist in the development and enhancement of Azure Synapse (formerly Data Factory) pipelines to ingest data from multiple sources.
- Establish and maintain coding standards for consistency across the team.
- Document data pipelines and support metadata and governance practices to ensure consistency and reliability.
- Build, publish, and update interactive dashboards in Power BI for divisional staff and leadership.
- Create and maintain InfoWise forms to support business processes.
- Work with OSD Division Managers to build the requirements for the forms.
- Manage and update SharePoint lists, permissions, and document libraries.
What you bring
azure synapse
power bi
azure devops
python
bachelor’s
machine learning
- Experience working in government or the public sector.
- Familiarity with Azure Synapse pipelines and willingness to expand expertise in modern data warehouse technologies.
- Ability to balance hands-on technical work with stakeholder collaboration and training .
- Industry experience in both public policy and data analytics using Python, R, Stata, SQL, or other relevant languages.
- Goal-oriented, organized team player comfortable both working independently and collaborating as part of a team .
- Well-versed in Microsoft tools, including SharePoint, Power Automate, InfoWise (or similar form/workflow solutions), and Power BI.
- Ability to prioritize and manage time effectively.
- Strong organizational skills, including experience with code repository management (Azure DevOps or similar).
- Automate and optimize workflows using Power Automate.
- Experience with Microsoft tools such as SharePoint, Power Automate, and InfoWise (or similar form/workflow solutions).
- Creative problem solver who thrives when presented with a challenge.
- Bachelor’s degree in Data Science , Computer Science, Statistics, Applied Math, Public Policy, Transportation Planning, or another related field.
- Master’s degree in data science, Computer Science, Statistics, Applied Math, Public Policy, Transportation Planning, or another related field.
- Experience managing and maintaining code repositories (Azure DevOps or similar).
- Demonstrated ability to plan and schedule work to ensure priorities are maintained and projects are completed accurately and on time.
- Familiarity with machine learning, predictive modeling, and advanced analytics tools.
- Three years of practical or professional experience in data analytics, programming, or related fields using Python, SQL, R, Scala, or other relevant languages.
- Proficiency with Excel and Power BI for reporting and dashboards.
- Knowledge of logistic and linear regressions, decision tree analysis, and other statistical methods.
- Strong written and verbal communication skills, with the ability to clearly explain technical results to non-technical audiences.
- Ability to analyze problems, strategize, and propose better solutions.
Information not given or found
Training + DevelopmentInformation not given or found
Interview process
- initial phone interview for qualified candidates
- follow-up in-depth interview(s) and/or assessments
- conditional job offer subject to background check
Information not given or found
Security clearance- selected candidates must undergo a background check after conditional offer
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Company
Overview
1921 Established
Year of establishment
The Port Authority was founded to oversee critical infrastructure development between New York and New Jersey.
- It plays a crucial role in overseeing key infrastructure between two of the most populous and connected states in the U.S.
- It operates a vast network of assets, including major airports, bus terminals, rail facilities, and shipping ports.
- It oversees some of the busiest transportation hubs in the world, including John F. Kennedy International Airport and Port Newark-Elizabeth Marine Terminal.
- In addition to transportation, it plays a key role in regional planning and economic development, improving connectivity for businesses and commuters alike.
- Major projects include the ongoing redevelopment of LaGuardia Airport, the modernization of the Port Authority Bus Terminal, and the expansion of the PATH rail network.
- It has historically been at the forefront of innovations in large-scale infrastructure projects, setting new standards in efficiency and sustainability.
- A standout achievement was its leadership in the post-9/11 rebuilding efforts at the World Trade Center site, culminating in the construction of the One World Trade Center.
- Integrity: The company operates with honesty, fairness, and transparency.
- Safety: The company maintains a safe environment for employees, partners, and the public.
- Accountability: The company is responsible and answerable for its actions.
- Innovation: The company embraces new ideas and technologies to improve performance.
- Collaboration: The company partners across agencies, jurisdictions, and communities.
Net-zero by 2050
Greenhouse Gas Emissions Target
Aimed to achieve zero-net greenhouse gas emissions by 2050.
$344 million
EPA Funding Secured
Secured $344 million in funding for zero-emission cargo equipment and other green initiatives.
5 MW
Solar Array Installation
Installed a 5-megawatt solar array at Newark Airport.
70,000 gallons
Fuel Savings
Annual fuel savings achieved through road upgrades in the Port Newark Corridor.
- 35% reduction in Scope 1 & 2 emissions by 2025; 50% by 2030.
- Converted 98% of ship-to-shore and rail-mounted gantry cranes to electric, targeting 100% by 2026.
- Light-duty non-emergency vehicle fleet 50% electric by 2025; fully electric by 2028.
- Building One retrofit in progress to be fossil-fuel-free by 2025.
- Initiated largest solar plus storage system at JFK Airport.
- First U.S. airport agency to adopt Paris Climate Agreement commitments.
- Electric-truck charging stations and Tier 4/zero-emission material-handling equipment phasing.
48% Women
Women in Management
Women hold 48% of Board-appointed management positions within the organization.
5% Target
Annual Female Leadership Goal
An annual target to increase female representation in senior leadership by 5% has been set.
20% Higher Promotion
Mentorship Program Success
Participants in the mentorship program, 60% of whom are women, have a promotion rate 20% higher than average.
98% Pay Gaps Corrected
Gender Pay Equity Review
A comprehensive gender pay equity review in 2024 identified and corrected 98% of pay gaps.
- Conducted annual workforce diversity survey: female staff representation 42%; target 45% by 2026.
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