Data and Analytics Specialist, Human Resources
| Posted On: Sep 5, 2025
Research Triangle Park, NC 27709
6 Months, Contract
Hybrid Remote
Job Summary
- Job Title:
- Data and Analytics Specialist, Human Resources
- Posted Date:
- Sep 5, 2025
- Duration:
- 6 Months, Contract
- Shift(s):
-
08:00 - 16:00
Description
Contract Opportunity: Data and Analytics Specialist, Human Resources
Hybird, 3 times in office
About the Role
- We are looking for a forward-thinking Data and Analytics Specialist to join our Human Resources team as a contractor.
- This is a unique opportunity to help shape how we use data, technology, and automation to elevate the employee experience and drive smarter decisions.
- You will work across systems, translate incentive plans into actionable models, and build tools that simplify complexity and unlock new value.
- If you are energized by solving real-world problems, building intelligent solutions, and contributing to a purpose-driven team, this role offers the chance to make a meaningful impact.
What You Will Do
- Connect and Manage Data Across Systems Work with data from HR, finance, operations, and other internal and external platforms
- Ensure data is accurate, validated, and structured to support decision-making and reporting.
- Translate Incentive Plans into Scalable Solutions Interpret incentive plan designs and build the logic, calculations, and processes needed to deliver accurate and timely payments. Create systems and workflows that align with plan rules and produce reliable outcomes.
- Design Dashboards and Reports That Inspire Action Build visualizations that simplify complex data and make insights accessible to HR and business leaders. Develop metrics frameworks that help teams measure progress, identify trends, and anticipate future needs.
- Automate Workflows and Build Bots That Boost ProductivityUse Microsoft Power Platform tools, including Power Automate and Power Virtual Agents, to create bots and automated workflows that reduce manual effort and improve efficiency. Develop lightweight applications and tools that support HR operations and enhance employee experience.
- Integrate Microsoft Office Suite Tools for Greater ValueLeverage Microsoft Copilot, Planner, Forms, Excel, and other tools to streamline processes, improve collaboration, and deliver smarter solutions. Ensure seamless integration across platforms to support scalable and sustainable outcomes.
- Explore the Responsible Use of AI and Emerging Technologies Identify opportunities to integrate AI in ways that are ethical, transparent, and constructive
- Evaluate new technologies with a focus on value creation, usability, and compliance.
- Deliver Insights That Drive Strategy and Culture Turn data into stories that inform decisions, shape employee experiences, and support organizational goals. Collaborate with cross-functional teams to ensure insights are understood and applied.
What You Bring
- A degree in Data Science, Computer Science, Statistics, HR Analytics, or a related field
- At least five to seven years of experience in data analytics, preferably within complex and matrixed organizations
- Proven ability to translate business and compensation models into data-driven systems and outputs
- Expertise in Power BI, Tableau, SQL, Python or R, and Excel
- Strong experience with Microsoft Office Suite tools, including Copilot, Planner, Forms, and Power Platform
- A clear understanding of data governance, privacy, and ethical AI principles
- Familiarity with cloud platforms, with the ability to explain their role in secure and scalable data solutions when needed
Bonus Skills
- Experience working with cross-functional teams in large organizations
- Familiarity with statistical modeling, forecasting, and machine learning
- Background in agile or design thinking environments
- Passion for making data meaningful, accessible, and actionable
What to Expect
- You will work independently, with regular collaboration and guidance from the HR Leader, Employee Experience.
- You will be trusted to deliver high-impact work, adapt to changing priorities, and help build systems that support a more data-informed and people-centered HR function.