Senior Forecasting Data Analyst - Lead (Remote)

Department Of Family And Protective Services; Austin (TX); Hybrid; USD 71,000 - 120,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Paid time off

Dental/vision/life insurance

Flexible spending accounts

Employee discounts

Job summary

The Texas Department of Family and Protective Services (DFPS) is seeking a highly skilled Forecast Data Analyst V to lead the Financial Forecasting Team within the CFO Office. This role provides strategic forecasting, advanced analytics, and leadership to support budgeting, resource allocation, and executive decision-making for DFPS.

The ideal candidate will bring expertise in time-series forecasting, statistical methods, data visualization, and a strong ability to communicate complex results to

Qualifications

• Bachelor's degree in Statistics, Finance, Mathematics, Economics, Computer Science, Data Science, Biostatistics, or related field.
• Minimum of five years of progressively responsible analytics/forecasting experience.
• Experience leading analytical projects and mentoring staff preferred.

Responsibilities

• Lead and develop the Financial Forecasting Team, setting priorities and ensuring timely delivery.
• Oversee forecasting models and scenario analyses to support budgeting and planning.
• Translate complex findings into actionable recommendations for executive leadership.
• Collaborate with program areas to align forecasting with agency objectives.

Skills

Forecasting

Leadership

Data visualization

SQL

Python

R

Communication

Education

Bachelor's degree in a quantitative field

Tools

SQL

Python

R

Power BI

Databricks

SAS

SPSS

Job description

The Texas Department of Family and Protective Services (DFPS) is seeking a highly skilled Forecast Data Analyst V to lead the Financial Forecasting Team within the CFO Office. This role provides strategic forecasting, advanced analytics, and leadership to support budgeting, resource allocation, and executive decision-making for DFPS.

The ideal candidate will bring expertise in time-series forecasting, statistical methods, data visualization, and a strong ability to communicate complex results to