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Hr Predictive Analytics Jobs in Utah (NOW HIRING)

... of HR. Essential Job Duties The Vice President, Revenue Marketing is responsible for leading ... predictive analytics, and agentic workflows to improve efficiency and effectiveness. * Partner ...

Monday-Thursday 7am-5:30pm Pay: $29.50/hr As a Facilities Maintenance Sr. Technician, you ... You will use preventive and predictive maintenanceprocesses, andrapidly troubleshoot equipment ...

Monday-Thursday 7am-5:30pm Pay: $29.50/hr As a Facilities Maintenance Sr. Technician, you will ... You will use preventive and predictive maintenance processes, and rapidly troubleshoot equipment ...

Hr Predictive Analytics information

What jobs use HR Predictive Analytics?

Jobs that use HR Predictive Analytics include HR analysts, talent acquisition specialists, workforce planners, and HR data scientists. These roles involve analyzing employee data to forecast turnover, improve hiring strategies, and enhance workforce management using tools like statistical software and machine learning models.

What are predictive analytics in HR?

Predictive analytics in HR involves using statistical models and data analysis techniques to forecast future workforce trends, such as employee turnover, performance, and hiring needs. HR professionals and analysts leverage tools like machine learning and data visualization to make data-driven decisions that improve talent management and organizational effectiveness.

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.

What cities in Utah are hiring for Hr Predictive Analytics jobs?

Cities in Utah with the most Hr Predictive Analytics job openings:

Data Analyst Assistant

Brevium

American Fork, UT

$20 - $22/hr

Part-time

Re-posted 6 days ago


Job description

Job Title: Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus
Location: American Fork, Utah (In Office)
About Us:
Brevium is a dynamic and innovative healthcare technology company located in American Fork, Utah. We specialize in providing cutting-edge solutions for healthcare practices, with a commitment to improving patient care and operational efficiency. Our team is dedicated to delivering advanced data analytics and insights to empower healthcare professionals.
Responsibilities:
  • Collaborate with the data science team to understand, enhance, and maintain existing Python and SQL programs.
  • Utilize Python for data analysis, employing libraries such as pandas, plotly, and sklearn.
  • Execute SQL queries for database retrieval, data manipulation, and integration tasks.
  • Assist in troubleshooting and debugging code-related issues in Python and SQL.
  • Document and present analysis results using data visualization tools such as plotly, matplotlib, and Excel.
  • Documenting code and analysis procedures.
  • Assist in the development and implementation of machine learning models for predictive analysis using industry-leading tools.
  • Able to communicate with Sales team to know what data insights are needed.
Qualifications:
  • Current student pursuing a degree in Computer Science, Data Science, Information Science, or a related field.
  • Proven experience in data analysis, with a strong focus on extracting actionable insights.
  • Proficiency in Python programming language, with experience in libraries such as pandas, plotly, sklearn.
  • Strong understanding of SQL for querying databases, retrieving data, and performing data manipulation tasks.
  • Familiarity with data cleaning, preprocessing, and statistical methods.
  • Ability to read, understand, and modify existing code for data analysis and visualization in Python and SQL.
  • Excellent communication skills.
  • Proficient in Excel.
Preferred Skills:
  • Intermediate to advanced python and SQL server skills.
  • Experience with data visualization tools like plotly and matplotlib.
  • Previous exposure to working with databases and data manipulation tasks.
  • Familiarity with statistical analysis tools and techniques.
  • Strong organizational skills and ability to be self motivated.
Working Hours:
20 hours per week (flexible schedule to accommodate academic commitments).
Compensation $20-22/hr