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Hr Predictive Analytics Jobs (NOW HIRING)

H.B Fuller

People Analytics Leader

Saint Paul, MN · On-site

... predictive analytics using Power BI * Analyze enterprise data to identify trends in engagement, productivity, turnover, and workforce planning * Integrate data across Workday and other HR, IT, and ...

Kla

HR Analytics Data Scientist

Ann Arbor, MI · On-site

The position focuses on applying AI techniques and predictive analytics to better anticipate ... HR. * Ensure data integrity and reliability by auditing datasets, diagnosing issues, and ...

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$33.5K

$78.8K

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How much do hr predictive analytics jobs pay per year?

As of Jun 6, 2026, the average yearly pay for hr predictive analytics in the United States is $78,842.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $95,000.00 per year, depending on experience, location, and employer.

What is the difference between Hr Predictive Analytics vs HR Data Analyst?

AspectHr Predictive AnalyticsHR Data Analyst
Required CredentialsDegree in HR, Data Science, or Analytics; experience with statistical toolsDegree in HR, Business, or Data Analysis; proficiency in Excel and SQL
Work EnvironmentData-driven HR teams, analytics departmentsHR departments, data teams within organizations
Employer & Industry UsageUsed for forecasting HR trends, workforce planningUsed for reporting, data interpretation, and insights
Common Search & Comparison IntentUnderstanding predictive capabilities in HRAnalyzing HR data for insights

While both roles involve working with HR data, Hr Predictive Analytics focuses on forecasting future HR trends using advanced statistical models, whereas HR Data Analysts primarily interpret current data to generate reports and insights. The predictive role requires stronger skills in analytics and modeling, often with specialized certifications, while the analyst role emphasizes data interpretation and reporting skills.

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Hr Predictive Analytics jobs near you
HR Analytics & Technology Engineer

HR Analytics & Technology Engineer

Textron

Providence, RI • On-site

Full-time

Medical, Dental, Retirement

This job post has expired today. Applications are no longer accepted.

Textron rating

8.3

Company rating: 8.3 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

26th of 59 rated aerospace companies

Job description

Textron is a renowned global multi-industry company with a diverse portfolio spanning aerospace and defense, specialized vehicles, turf care, and fuel systems. Our brand lineup includes leading names like Bell, Cessna, Beechcraft, E-Z-GO, Lycoming Engines and many others. With a strong worldwide presence and a workforce of 34,000 individuals across 25 countries, we prioritize attracting top talent.
Job Summary
As Textron continues to grow and modernize, our HR analytics, data engineering, and automation capabilities must scale to support increasing complexity and data driven decision making. The next phase of our analytics evolution requires stronger data integration, automation, predictive insight, and executive ready reporting.
The HR Analytics & Technology Engineer advances this work by designing and delivering reliable data pipelines, standardized data sets, dashboards, and advanced analytics solutions. This role blends strong technical depth in analytics and data engineering with the ability to support executive reporting, ad hoc analysis, and emerging predictive analytics, data science, and AI enabled use cases.
Key Responsibilities
Analytics, Data Engineering & ETL
  • Design and maintain ETL/ELT pipelines and curated datasets to support scalable analytics and reporting.
  • Build and optimize data models and database structures to ensure high quality, standardized data.
  • Apply data quality, governance, and standardization practices to enable trusted, reusable analytics.

Dashboarding & Insight Delivery
  • Develop dashboards and analytic products (e.g., Power BI or similar tools) that deliver clear, actionable insights.
  • Support executive level reporting and ad hoc, time sensitive analytics requests, translating ambiguous questions into accurate insights.
  • Perform advanced analytics, including trend analysis and predictive modeling, and communicate results clearly to diverse audiences.
  • Synthesize analysis into clear findings, recommendations, and narratives for senior HR and business leadership to support decision-making.
  • Present insights and recommendations to leadership audiences, tailoring messaging to technical and non-technical stakeholders.

Automation, Data Science & Technology Enablement
  • Build automation solutions that improve efficiency and reduce manual analytics effort.
  • Develop analytics and data workflows using Databricks, Python, SQL, and Alteryx.
  • Contribute to the application of predictive analytics, data science techniques, and AI to anticipate trends and support decision making.

Collaboration & Continuous Improvement
  • Partner with HR, IT, and business stakeholders to deliver scalable, well architected analytics solutions.
  • Monitor data pipelines, dashboards, and analytics processes to identify risks and improvement opportunities.
  • Balance planned analytics development with executive and ad hoc support while maintaining data quality and scalability.
  • Provide technical guidance, informal leadership, and mentorship to other analysts or teammates, supporting skills development and consistency in analytics practices.
  • Contribute to the development of analytics standards, best practices, and approaches that improve quality, efficiency, and scalability across the team.
  • Assist with analytics strategy and prioritization by identifying high-impact opportunities, emerging needs, and areas for modernization or automation.

Qualifications
Experience
  • 7+ years of experience delivering analytics, data engineering, and reporting solutions in a complex, data-rich environment.

Technical Skills
  • Advanced SQL and strong Python experience.
  • Proven expertise with ETL/ELT pipelines, data modeling, and database design.
  • Experience with Databricks and Alteryx.
  • Experience with BI and dashboarding tools (e.g., Power BI).
  • Knowledge of data standardization, governance, and data quality practices.
  • Familiarity with predictive analytics, data science, and AI enabled analytics.

Soft Skills
  • Ability to clearly communicate technical insights to non technical audiences.
  • Collaborative mindset and comfort working across functions.

Education
  • Bachelor's degree in Computer Science, Data Analytics, or a related field.

At Textron, we believe that thriving at work starts with balance.
That's why we offer more than just a job-we provide a workplace where your well-being matters. Our on-site fitness center makes it easy to stay active, whether you prefer one-on-one personal training, group classes, or working out alongside your teammates.
We also offer a generous time-off package and a culture that truly values engagement. From Employee Resource Groups to fun workplace activities, there are plenty of ways to connect, grow, and make your experience here meaningful-and enjoyable.
Our team is a vibrant mix of experience levels and backgrounds, creating a supportive environment where mentorship and knowledge-sharing are part of everyday life.
And when it comes to rewards, we've got you covered:
  • Competitive total rewards package
  • Industry-leading 401(k) matching
  • Generous tuition reimbursement
  • Comprehensive health, dental, and more

Join Textron and be part of a team that's driving innovation, creativity, and collaboration-while having fun along the way!

What Textron employees say

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About Textron

Sourced by ZipRecruiter

Textron Systems is part of Textron, a $14 billion, multi-industry company employing 35,000 talented makers, thinkers, creators and doers worldwide. We make things that fly, hover, zoom and launch. Things that move people. Protect soldiers. Power industries. We serve customers in industries spanning aerospace and defense, specialized vehicles, turf care and fuel systems.

Industry

Aerospace product and parts manufacturing

Company size

10,000+ Employees

Headquarters location

Providence, RI, US

Year founded

1923

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