Senior Analyst — Data, Projects & Process Improvement

NYC Administration for Children's Services; New York (NY); On-site; USD 98,000 - 132,000; Full time

Job summary

The NYC Administration for Children’s Services seeks a Senior Analyst to lead data management, project management, process improvement, and contract specification writing. You will conduct complex statistical analyses, develop reports and dashboards, and support executive reporting within the COO’s office.

The role requires strong quantitative skills, experience with large data sets, and the ability to coordinate cross-functionally.

Qualifications

• Master's degree plus 2 years of professional experience in budget/financial administration or related areas; 18 months in supervisory capacity.
• Bachelor's degree plus 4 years of professional experience in budget/financial administration or related areas.
• Experience with large data sets, complex reports, and cross-functional collaboration.

Responsibilities

• Develop and manage procurement and financial reporting tools and dashboards.
• Coordinate with division units to analyze procurement and financial data and identify trends.
• Lead process improvement initiatives and document operational procedures.
• Develop project plans and documentation for major division-wide projects.
• Prepare and update contract specifications with knowledge of construction, engineering, and architecture practices.

Skills

Data analysis

Quantitative analysis

Report writing

Project management

Stakeholder communication

Interpersonal skills

Education

Master's degree in economics/finance/ accounting/ business or public administration

Bachelor's degree + 4 years professional experience

Job description

The NYC Administration for Children’s Services seeks a Senior Analyst to lead data management, project management, process improvement, and contract specification writing. You will conduct complex statistical analyses, develop reports and dashboards, and support executive reporting within the COO’s office.

The role requires strong quantitative skills, experience with large data sets, and the ability to coordinate cross-functionally.