Human Resources Software

Human Resources Software Data Jobs

2 jobs found

Today

AI Native HR Data Analyst

Fortrex Atlanta, GA

Atlanta, GA

Today

Full time Analytics Artificial Intelligence Business Analytics

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Job Description

Fortrex is seeking an AI Native HR Data Analyst to design HR data infrastructure and AI-assisted workflows that help HR, Safety, and Compliance leaders move from questions to faster, trustworthy answers. This onsite role in Atlanta, GA focuses on building reusable reporting systems, improving data integrity, and delivering insight-driven dashboards.

Responsibilities

Use Claude and other AI tools to accelerate exploratory work, draft and refine SQL/queries, identify trends across HRIS and workforce datasets, and validate findings before they reach leadership.
Apply AI as a thinking partner to extend perspective and capabilities while maintaining sound judgment.
Find repetitive manual reporting work and redesign it into automated, sustainable workflows to reduce turnaround time and enable higher-value analysis.
Build with reusability in mind so workflows remain useful beyond a single request.
Develop systems that move beyond static reporting by surfacing trends, anomalies, and root-cause context (the “why” behind the numbers), proactively flagging issues across employee engagement, turnover, safety compliance, and workforce planning.
Maintain accuracy, consistency, and completeness of HR data across HRIS, people management systems, and related platforms.
Perform regular audits and implement automated checks to catch discrepancies early.
Create clear, visually compelling, and low-maintenance dashboards and reports using Power BI, Tableau, Excel, and AI-assisted tooling, ensuring usability for non-technical stakeholders and resilience when data sources change.
Partner with HR, Compliance, Safety, Operations, Finance, and IT to understand reporting needs, align metrics to organizational goals, and translate ambiguous questions into concrete deliverables.
Improve how data is collected, modeled, and communicated, and take ownership of implementation rather than only reporting issues.
Support experimental or exploratory initiatives, including new metrics, predictive models, or AI tools, as assigned by leadership.

Requirements

Bachelor’s degree in Human Resources, Business Analytics, Statistics, Data Science, or a related field.
Proficiency with HRIS platforms and reporting/BI tools such as Power BI, Tableau, Excel, and SQL.
Comfort using AI tools (e.g., Claude, ChatGPT, Copilot) to support analysis and automation, along with the judgment to verify, trust appropriately, or override outputs.
Strong critical thinking and problem-solving skills to interpret complex or messy datasets and convert findings into actionable insights.
A builder mindset focused on repeatable workflows instead of repeating manual work.
Genuine curiosity, including investigating anomalies and communicating insights effectively to non-technical audiences.
Excellent communication and presentation skills to convey insights to HR, Safety, and Compliance leadership.
Knowledge of HR metrics, workforce analytics, and compliance reporting.
Ability to manage multiple priorities and collaborate across cross-functional teams.
High attention to detail and a sustained commitment to data accuracy.
Minimum 3 years of experience.

Technologies

Claude, ChatGPT, Copilot
SQL, Power BI, Tableau, Excel, Python
Low-code automation tools

Benefits

Medical, Dental, & Vision Insurance
Basic Life Insurance
Short-term Disability
Long-term Disability
Retirement Plan
Paid Holidays (Varies by Location)
Paid Vacation
Employee Assistance Program (EAP)
Training & Development Opportunities

What We Prefer You Have

Hands-on experience designing AI-assisted or automated reporting workflows (for example, using Claude, Python, or low-code automation tools) in an HR or People Analytics setting.
3 or more years of related experience.
Experience with predictive analytics and HR data modeling.
Familiarity with machine learning concepts and emerging HR technology trends.
A track record of converting one-off analyses into durable, self-serve tools or dashboards.
Certification in HR analytics, data visualization, or AI/prompt engineering tools (a plus).

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2d ago

HR Data Analyst - Compensation - FT - Day

Stormont-Vail HealthCare, Inc. Topeka, KS

Topeka, KS

2d ago

Full time Analytics Application Support Business Intelligence

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Job Description

Support enterprise-wide HR operations by building reporting, ensuring data quality, and turning workforce metrics into insights for HR leaders.

Responsibilities

Maintain HR data tools, reporting, and dashboards; enable self-service access to data when appropriate and optimize use of the Workday system when possible.
Create and deliver standard reports on a monthly, quarterly, and annual basis, plus customized HR reporting.
Handle ad hoc HR data requests by clarifying request purpose, gathering data from multiple sources, analyzing findings, and delivering results.
Ensure HR data integrity by enforcing accuracy and consistency of input data and maintaining data quality standards.
Audit HR data, troubleshoot irregularities, and share findings through dashboards, presentations, and executive summaries.
Analyze workforce metrics including turnover, retention, vacancy rates, recruitment effectiveness, benefits participation, performance trends, and learning outcomes.
Develop predictive and trend analyses to support workforce planning and strategic HR initiatives.
Convert complex workforce data into actionable recommendations for HR and organizational leaders.
Support data governance processes.
Manage a high volume of system-related activities in a timely manner while maintaining quality and internal customer satisfaction.
Support additional system-related needs and troubleshooting as required.

Requirements

Bachelor’s degree in Business, finance, computer science, statistics, mathematics, or related field; four years of data analysis experience may substitute for education.
4 years of data/statistical analysis experience; a bachelor’s degree in Business, Finance, Computer Science, Statistics, Mathematics, or related field may substitute for work experience.
Excellent proficiency in Excel and PowerPoint and other presentation software; Tableau experience is a plus.
Experience performing HR data and analysis work in Microsoft Excel or Access.
Demonstrated experience with HR systems including Workday, Applicant Tracking, Performance Management, HRIS, Learning (etc.) (preferred).
Experience creating data visualizations and dashboards (preferred).
Strong data and analytical skills with comfort working with numbers and bringing structure to complex data sets.
Strong relationship-building skills with internal/external partners and senior staff.
Detail-oriented with creative problem-solving abilities.
Ability to work in a fast-paced environment, manage multiple projects, and bring clarity through ambiguity and complexity.
High responsiveness to business needs, attention to detail, strong problem-solving and analytical skills, ability to work independently and under pressure.
Strong written, verbal, and presentation skills.
Compliance with all Stormont Vail policies, standards, mandatory training, and requirements.
Perform other duties as assigned.

Tools & Technologies

Excel, PowerPoint, Tableau
Microsoft Excel, Access
Workday, Applicant Tracking, Performance Management, HRIS, Learning

Work Details

Position status: Full time
Shift: First Shift (Days - less than 12 hours per shift) (United States of America)
Hours per week: 40
Exemption status: Exempt
Patient facing: Not patient facing
Remote work: Hybrid
Scope: No supervisory responsibility; no budget responsibility

Remote Work Guidelines

Workspace must be quiet and distraction-free to comply with security and privacy standards.
Stable electricity and minimum 25mb upload and internet speed.
Dedicate full attention to job duties and communication during working hours.
Adhere to break and attendance schedules agreed upon with supervisor.
Abide by Stormont Vail’s Remote Worker Policy and review and acknowledge the Remote Work Agreement annually.

Location

Topeka, KS (hybrid)

Physical Demands

Carrying: rarely less than 1 hour
Climbing (stairs): occasionally 1-3 hours
Hearing: frequently 3-5 hours
Kneeling: rarely less than 1 hour
Lifting: rarely less than 1 hour up to 5 lbs
Reaching (forward): rarely less than 1 hour up to 5 lbs
Reaching (overhead): rarely less than 1 hour up to 5 lbs
Repetitive motions: frequently 3-5 hours
Sitting: frequently 3-5 hours
Standing: occasionally 1-3 hours
Stooping: rarely less than 1 hour
Talking: frequently 3-5 hours
Walking: occasionally 1-3 hours

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Human Resources Software Data Jobs

AI Native HR Data Analyst

HR Data Analyst - Compensation - FT - Day

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