1

Hr Predictive Analytics Jobs in Indiana (NOW HIRING)

Works collaboratively with HR, IT, and business teams to support joint initiatives, assist with ... analysis, contributing to descriptive/predictive analytics that inform HR decisions and ...

Perform preventive and predictive maintenance on manufacturing equipment and facility systems ... Participate in root cause analysis (RCA) and implement corrective actions to prevent recurrence of ...

Maintenance Manager

Elkhart, IN · On-site

$110K - $130K/yr

Analyze data, investigate issues, identify solutions, and recommend actions to improve KPI targets ... Proven track record of taking organization from preventive maintenance to predictive maintenance.

Maintenance Supervisor

Bluffton, IN · On-site

$32 - $35/hr

Responsibilities Maintenance Supervisor Day Shift - 7am - 3pm $32.00 - $35.00/Hr. The Maintenance ... Knowledge of principles involved in Preventative/Predictive Maintenance * Knowledge of maintenance ...

next page

Showing results 1-20

Hr Predictive Analytics information

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 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 data analysts utilize tools like machine learning and data visualization to make informed decisions and improve talent management strategies.

What are popular job titles related to Hr Predictive Analytics jobs in Indiana?

For Hr Predictive Analytics jobs in Indiana, the most frequently searched job titles are:

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

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

$143K - $229K/yr

Other

Medical, Retirement, PTO

Posted 14 days ago


Blue Cross and Blue Shield of North Carolina rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

196th of 311 rated insurance


Job description

Job Description

The Principal Data Scientist will serve as the principal lead to provide accurate and quality analyses that translate data in sound organizational decisions. In this role you will provide strategic thought leadership and partner with other functional areas to deliver collaborative work products that align with divisional and enterprise strategy. You will own delivery of multiple large and/or complex data science and engineering projects.

What You'll Do

  • Lead in the development and testing of hypotheses across all functional data sets

  • Lead requirements gathering sessions with business and technical staff to distill technical requirement from business requests

  • Define and implement integrated data models, allowing integration of data from multiple sources

  • Design and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation

  • Define and implement data stores based on system requirements and consumer requirements

  • Design and develop models to understand and solve multiple complex business solutions using a variety of methods including data mining, statistical analysis, predictive modeling and analysis, stochastic modeling, pattern recognition, probability analysis, and network analysis

  • Design and implement production models leveraging technologies such Python, and R

  • Leverage existing data sets and engineer new data sets including development of SQL queries, data integration and resolution of data quality issues

  • Apply advanced conceptual understanding of Big Data systems to data set engineering and analytic model implementation

  • Lead development and reviews of complex analytic models and algorithms

  • Identify actionable insights, suggest recommendations, and influence business direction by effectively communicating results to cross functional groups

  • Document and test analytic processes including performance and thorough data validation and verification

  • Engage with enterprise business areas to incorporate feedback into audit process including but not limited to Payment Integrity, SIU, Provider, Behavioral Health, Med Policy, Claims, Pharmacy
  • Articulate analytic methods and drive business outcomes with responsible business areas
  • Consult with executive level leadership across the organization- with responsibility to drive CoC ideation for Commercial and Medicare
  • Informally lead other analysts and synthesize information and make recommendations to executive leadership
What You Bring
  • Bachelor's degree or advanced degree (where required)

  • 8+ years of experience in related field.

  • In lieu of degree, 10+ years of experience in related field.

  • Strong Analytic/Data Science skills:

  • Experience with Snowflake

  • Experience building AI Agents

  • Understand Bell curve analysis

  • Incorporate Industry benchmarks into analysis

  • Perform outlier detection

  • Strong healthcare experience with Payment Integrity/FWA business knowledge is required

  • understanding of FWA concepts, CMS guidelines, Medical/Reimbursement Policy are all strongly preferred

Salary Range

At Blue Cross NC, we take great pride in a fair and equitable compensation package that reflects market-price and our starting salaries are typically planned near the middle of the range listed. Compensation decisions are driven by factors including experience and training, specialized skill sets, licensure and certifications and other business and organizational needs.Our base salary is part of a robust Total Rewards package that includes an Annual Incentive Bonus*, 401(k) with employer match, Paid Time Off (PTO), and competitive health benefits and wellness programs.

*Based on annual corporate goal achievement and individual performance.

$143,616.00 - $229,786.00

Skills

Big Data, Complex Data Analysis, Data Analysis, Data Engineering, Data Mining, Data Modeling Techniques, Data Science, Data Visualization, Machine Learning (ML), Predictive Analytics, Predictive Modeling, Python (Programming Language), Statistical Analysis, Statistical Models

_____________________________________________________________________
JOB ALERT FRAUD: We have become aware of scams from individuals, organizations, and internet sites claiming to represent Blue Cross and Blue Shield of North Carolina in recruitment activities in return for disclosing financial information. Our hiring process does not include text-based conversations or interviews and never requires payment or fees from job applicants. All our career opportunities are published on https://bcbsnc.wd5.myworkdayjobs.com/en-US/BCBSNC. If you have already provided your personal information that you suspect is fraudulent activity, please report it to your local authorities. Any fraudulent activity should be reported to: HR.Staffing@BCBSNC.com.


What Blue Cross and Blue Shield of North Carolina employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom