Unitek Learning

Healthcare

PeopleDataScientist

$145–205k ~AI est. Tempe, Arizona, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for entry candidates.

The Brief

“People Data Scientist at Unitek Learning. Skills: People analytics, Workforce analytics, Machine learning, Data science. Facilitate and support Human Capital Management (HCM) system. Support HCM system enhancements”

Industry & Context.

Healthcare
Problems you'll solve

Problem-solving; Analytical skills

What They're Looking For.

Must Have

Bachelor's degree in data science, Statistics, Mathematics, Economics, Industrial-Organizational Psychology, Computer Science, Analytics, Business, Human Resources, or a related quantitative field, Minimum of 5 years of experience in data science, people analytics, workforce analytics, applied research, or a related analytical discipline, Knowledge of statistical modeling, predictive analytics, machine learning, hypothesis testing, survey methodology, and experimental design, Proficiency in SQL, Proficiency in at least one analytical programming language such as Python or R, Experience working with business intelligence and data visualization tools to develop dashboards, reports, and executive presentations, Demonstrated ability to analyze large and complex datasets and communicate findings to diverse audiences, Critical thinking, problem-solving, and analytical skills, Ability to independently manage complex projects and priorities, Understanding of data governance, data privacy, responsible AI practices, and bias mitigation principles, Excellent communication and consulting skills, Ability to influence decisions through data-driven insights and recommendations

Nice to Have

Master's degree preferred, Knowledge of workforce analytics, organizational research methods, employee lifecycle metrics, and talent management concepts preferred

What You'll Do.

Facilitate and support Human Capital Management (HCM) system

Support HCM system enhancements

Support HCM system integrations

Support HCM system testing

Support HCM system post-production optimization

Serve as the functional and technical HRIS subject

Partner with cross-functional stakeholders to optimize HR technology

Partner with cross-functional stakeholders to optimize business processes

Implement scalable people systems solutions aligned with organizational

Configure HRIS workflows

Maintain HRIS workflows

Configure HRIS security roles

Maintain HRIS security roles

Configure HRIS business processes

Maintain HRIS business processes

Configure HRIS reporting structures

Maintain HRIS reporting structures

Configure HRIS system controls

Maintain HRIS system controls

Manage HR data governance practices

Perform data validation

Maintain structured workforce data

Maintain unstructured workforce data

Develop workforce analytics

Develop predictive models

Develop statistical analyses to identify trends

Apply data science methodologies

Apply machine learning techniques

Apply forecasting models

Apply exploration data analysis to generate actionable business

Support strategic decision-making

Design interactive dashboards

Build interactive dashboards

Maintain interactive dashboards

Design executive reporting solutions

Build executive reporting solutions

Maintain executive reporting solutions

Create automated reporting solutions

Create data pipeline solutions

Conduct exploratory analysis on large

high-dimensional datasets

and opportunities for continuous

Collaborate with business leaders and technical teams to

Collaborate with business leaders and technical teams to

Collaborate with business leaders and technical teams to

Support system implementation lifecycle activities

Gather requirements for system implementation

Test system implementation

Train users for system implementation

Document system implementation

Deploy system implementation

Manage change for system implementation

Drive user adoption for system implementation

How You'll Work.

Team & Collaboration

Cross-functional stakeholders; HR, IT, Finance, Payroll; External vendors; Business leaders; Technical teams

Communication Scope

Communicate findings to diverse audiences; Influence decisions

Process & Methodology

Manage complex projects

Full Job Description

As a leading healthcare education organization, Unitek Learning’s family of schools helps thousands of students launch and accelerate their careers every year. As a rapidly growing and highly successful company, Unitek is also a great place to pursue a rewarding and challenging career. We offer a competitive salary, generous benefits, unlimited growth potential, and a collegiate work environment. The People Data Analyst collaborates with HR, Payroll, Finance, IT, and business leaders to support the administration, optimization, and ongoing enhancement of the organization’s HR technology, reporting, and workforce analytics environment. This role is responsible for ensuring data integrity, system efficiency, reporting accuracy, and actionable workforce insights through the support of HCM implementations and system enhancements. This position will develop dashboards and analytics, automate reporting processes, and leverage workforce data to support strategic decision-making and operational improvements across the organization. Job Responsibilities: * Facilitate and support Human Capital Management (HCM) system implementations, enhancements, integrations, testing, and post-production optimization across core HR, Payroll, Talent, Benefits, and Workforce Management functions. * Serve as the functional and technical HRIS subject matter expert, partnering with cross-functional stakeholders to optimize HR technology solutions and business processes. * Partner with HR, IT, Finance, Payroll, and external vendors to gather business requirements, redesign workflows, and implement scalable people systems solutions aligned with organizational objectives. * Configure and maintain HRIS workflows, security roles, business processes, reporting structures, and system controls to improve operational efficiency and data integrity. * Manage HR data governance practices, including audits, data validation, compliance monitoring, and maintenance of structured and unstructured workforce data

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