Research Data Analyst

Arizona Department of Administration•Phoenix, WA

1d•Hybrid

About The Position

The Participant Labor Market Dashboard Specialist serves as a technical modeling and quantitative research lead within the Modeling and Forecasting Division of the Arizona Office of Economic Opportunity. Under the general direction of the Deputy Administrator (Division 2 Lead), the position engineers labor market intelligence, data structures, and predictive frameworks for the Rural Health Transformation Program (RHTP) and Rural Innovation Learning Network (RILN) dashboards. Its work supports healthcare workforce recruitment, training-capacity expansion, and rural retention through occupational selection algorithms, regional training-to-jobs models, and longitudinal outcome metrics. The role performs programmatic research and modeling; it does not perform grant administration, fiscal oversight, procurement, compliance monitoring, or administrative cost-pool functions. The position may offer remote work within Arizona, depending on business needs and continued performance against expected measures. Remote work is a management option and may be ended at the agency’s discretion. Work must be performed within Arizona unless an exception is authorized in advance. The role develops quantitative models and data pipelines for rural healthcare training and workforce analysis; evaluates provider upskilling, recruitment, and retention; aligns shortage measures with financial incentives; and engineers the database architecture and data feeds behind public-facing dashboards and career-pathway tools. It also documents methodologies and collaborates with economists and technical teams on division-wide modeling initiatives.

Requirements

Advanced knowledge of econometric analysis, predictive modeling, composite-index creation, and longitudinal program-evaluation frameworks.
Deep understanding of healthcare occupation classification systems (SOC), education programs (CIP), licensure databases, and rural-health shortage metrics.
Thorough knowledge of Bureau of Labor Statistics data programs, UI wage-record linkages, and Integrated Data Systems methodology.
Advanced skill in statistical programming languages such as SAS and Python, and database automation tools for extracting, transforming, and modeling large datasets.
Skill in structuring complex analytical output into optimized dataset formats for web-visualization tools and interactive APIs.
Skill in writing methodology papers, data dictionaries, and technical briefs for agency leadership and peer economists.
Ability to translate program goals into mathematically sound, reproducible economic methodologies.
Ability to collaborate with Division 1 economists so back-end modeling supports front-end participant-engagement tools.
Ability to apply rigorous data-quality checks, routine verification protocols, and ethical data-privacy standards when handling individual wage and participant records.
Successful completion of the Electronic Employment Eligibility Verification Program (E-Verify) is required for newly hired State employees.
A driver's license is required if driving or use of a vehicle is an essential function of the job.

Nice To Haves

Bachelor’s degree in Economics, Statistics, Data Analytics, or a related field.

Responsibilities

Develop econometric models, threshold methodologies, and quantitative criteria to evaluate rural training capacity, clinical placement availability, and regional healthcare workforce shortages.
Build supply-and-demand models for nursing and allied health occupations to identify regional educator gaps and inform training-cohort expansion.
Build data pipelines integrating educational completion records, credentialing data, and licensure information to track student progression through rural healthcare pipelines.
Design statistical indicators and predictive frameworks to identify opportunities for provider upskilling, residency expansion, and preceptor-network development.
Develop longitudinal evaluation models linking participant training rosters to UI wage records to analyze employment entry, wage growth, and rural-health retention.
Evaluate regional labor-market frictions, including commute sheds, wage competitiveness, and turnover, to support provider-retention modeling in designated shortage areas.
Construct composite indices and scoring models that map local healthcare-shortage severity against approved financial recruitment and retention incentives.
Provide data-driven inputs and quantitative scoring frameworks to help workforce boards and healthcare partners align financial resources with high-need rural occupations.
Measure the statistical impact of workforce incentives on participant completion, rural employment placement, and long-term career advancement.
Engineer and maintain back-end database architectures, data dictionaries, and automated output tables for public-facing RILN dashboards and career-pathway tools.
Develop structured data feeds and API connections so dashboard visualizations accurately display labor-market trends and regional workforce profiles.
Document the quantitative logic underlying RHTP dashboard metrics in methodology papers.
Collaborate with Division 1 Applied Analysis economists to format predictive outputs and econometric models for stakeholder tools.
Contribute to Division 2 initiatives, including WIOA in-demand methodologies, long-term occupational projections, and training-provider predictive evaluation models.
Perform other duties related to the position as assigned.

Benefits

Sick leave
Retirement plan through the Arizona State Retirement System (ASRS); enrollment eligibility becomes effective after 27 weeks of employment
Health and dental insurance
Vacation and 10 paid holidays per year
Life insurance and long-term disability insurance
Optional short-term disability insurance
Optional deferred compensation plans
Optional supplemental life insurance
Remote-work option, subject to management approval and agency needs
Paid parental leave program