Experience working with large, complex datasets from multiple sources, including field data, warranty data, service data, customer feedback with a focus on predictive analytics * Ability to analyze ...
Experience working with large, complex datasets from multiple sources, including field data, warranty data, service data, customer feedback with a focus on predictive analytics * Ability to analyze ...
... predictive modeling, math, statistics, advanced analytics, etc. Key Responsibilities: 1) Understand business requirements and analyze datasets to determine suitable approaches to meet analytic ...
... predictive modeling, math, statistics, advanced analytics, etc. Key Responsibilities: 1) Understand business requirements and analyze datasets to determine suitable approaches to meet analytic ...
Perform predictive analytics modeling to forecast potential failures and validate the effectiveness of OBD diagnostic monitors during extended durability testing * Set up instrumentation and monitor ...
Perform predictive analytics modeling to forecast potential failures and validate the effectiveness of OBD diagnostic monitors during extended durability testing * Set up instrumentation and monitor ...
Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...
Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...
In-depth knowledge of industry trends and technological enablers (e.g., Data, AI, Cloud, predictive analytics) * An open, forward-looking, and strategic mindset (capable of anticipating future trends ...
In-depth knowledge of industry trends and technological enablers (e.g., Data, AI, Cloud, predictive analytics) * An open, forward-looking, and strategic mindset (capable of anticipating future trends ...
Data Scientist, AI
Ann Arbor, MI · On-site +1
Explain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. Understand stakeholders' requests and hidden ...
Data Scientist, AI
Ann Arbor, MI · On-site +1
Explain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. Understand stakeholders' requests and hidden ...
Apply data mining, predictive modeling, prescriptive analytics, statistics, and advanced analytical techniques to uncover trends and patterns. Design efficient data loading, augmentation, and ...
Apply data mining, predictive modeling, prescriptive analytics, statistics, and advanced analytical techniques to uncover trends and patterns. Design efficient data loading, augmentation, and ...
Apply data mining, predictive modeling, prescriptive analytics, statistics, and advanced analytical techniques to uncover trends and patterns. * Design efficient data loading, augmentation, and ...
New
Apply data mining, predictive modeling, prescriptive analytics, statistics, and advanced analytical techniques to uncover trends and patterns. * Design efficient data loading, augmentation, and ...
New
Apply data mining, predictive modeling, prescriptive analytics, statistics, and advanced analytical techniques to uncover trends and patterns. * Design efficient data loading, augmentation, and ...
Apply data mining, predictive modeling, prescriptive analytics, statistics, and advanced analytical techniques to uncover trends and patterns. * Design efficient data loading, augmentation, and ...
Director, Data Analytics
Grand Rapids, MI · On-site
Directs and recommends the use of analytics tools, data warehouse architecture and predictive analytics methods to make educated, data-driven decisions that focus on and prioritize clinical and ...
Director, Data Analytics
Grand Rapids, MI · On-site
Directs and recommends the use of analytics tools, data warehouse architecture and predictive analytics methods to make educated, data-driven decisions that focus on and prioritize clinical and ...
Senior Product Manager, Theft Prevention & Recovery
Atlanta, MI · On-site
$115K - $152K/yr
The ideal candidate will leverage Geotab's telematics and predictive analytics to uplift product offerings and enhance customer value. This role focuses on market discovery, product strategy, and end ...
Senior Product Manager, Theft Prevention & Recovery
Atlanta, MI · On-site
$115K - $152K/yr
The ideal candidate will leverage Geotab's telematics and predictive analytics to uplift product offerings and enhance customer value. This role focuses on market discovery, product strategy, and end ...
This role blends operational excellence, people leadership, and digital transformation-leveraging AI, predictive analytics, and ERP systems (SAP) to optimize material flow, improve inventory ...
This role blends operational excellence, people leadership, and digital transformation-leveraging AI, predictive analytics, and ERP systems (SAP) to optimize material flow, improve inventory ...
Senior Product Manager, Theft Solutions
Detroit, MI · On-site
$125K - $150K/yr
... predictive analytics. What you'll do: Your key responsibilities include identifying and scaling products that prevent vehicle and asset theft, enable rapid recovery, and reduce insurance costs. You ...
Senior Product Manager, Theft Solutions
Detroit, MI · On-site
$125K - $150K/yr
... predictive analytics. What you'll do: Your key responsibilities include identifying and scaling products that prevent vehicle and asset theft, enable rapid recovery, and reduce insurance costs. You ...
Predictive Modeler
Lansing, MI · Hybrid
$55.50 - $72/hr
Auto-Owners Insurance, a top-rated insurance carrier, is seeking a predictive modeler to join our ... Conduct ad-hoc analysis and present results clearly at multiple-levels of stakeholders through ...
Predictive Modeler
Lansing, MI · Hybrid
$55.50 - $72/hr
Auto-Owners Insurance, a top-rated insurance carrier, is seeking a predictive modeler to join our ... Conduct ad-hoc analysis and present results clearly at multiple-levels of stakeholders through ...
Materials Manager
Auburn Hills, MI · On-site
This role blends operational excellence, people leadership, and digital transformation--leveraging AI, predictive analytics, and ERP systems (SAP) to optimize material flow, improve inventory ...
Materials Manager
Auburn Hills, MI · On-site
This role blends operational excellence, people leadership, and digital transformation--leveraging AI, predictive analytics, and ERP systems (SAP) to optimize material flow, improve inventory ...
This role blends operational excellence, people leadership, and digital transformation-leveraging AI, predictive analytics, and ERP systems (SAP) to optimize material flow, improve inventory ...
This role blends operational excellence, people leadership, and digital transformation-leveraging AI, predictive analytics, and ERP systems (SAP) to optimize material flow, improve inventory ...
Simulation Engineer 3
Southfield, MI · On-site
Use predictive analytics to simulate different production scenarios and anticipate potential bottlenecks or inefficiencies. * Integrate data from various systems, such as MES, ERP, and IoT devices ...
Simulation Engineer 3
Southfield, MI · On-site
Use predictive analytics to simulate different production scenarios and anticipate potential bottlenecks or inefficiencies. * Integrate data from various systems, such as MES, ERP, and IoT devices ...
Use predictive analytics to simulate different production scenarios and anticipate potential bottlenecks or inefficiencies. * Integrate data from various systems, such as MES, ERP, and IoT devices ...
Use predictive analytics to simulate different production scenarios and anticipate potential bottlenecks or inefficiencies. * Integrate data from various systems, such as MES, ERP, and IoT devices ...
Analyze large financial datasets to identify variances, trends, efficiency opportunities, and support scenario modeling and predictive analytics * Support finance data modeling aligned with ...
Analyze large financial datasets to identify variances, trends, efficiency opportunities, and support scenario modeling and predictive analytics * Support finance data modeling aligned with ...
Analyze large financial datasets to identify variances, trends, efficiency opportunities, and support scenario modeling and predictive analytics * Support finance data modeling aligned with ...
Analyze large financial datasets to identify variances, trends, efficiency opportunities, and support scenario modeling and predictive analytics * Support finance data modeling aligned with ...
Predictive Analytics information
See Michigan salary details
$23.5K - $37.3K
4% of jobs
$37.3K - $51K
1% of jobs
$51K - $64.8K
14% of jobs
$71.6K is the 25th percentile. Wages below this are outliers.
$64.8K - $78.5K
12% of jobs
$78.5K - $92.3K
14% of jobs
The median wage is $95.4K / yr.
$92.3K - $106K
23% of jobs
$110.5K is the 75th percentile. Wages above this are outliers.
$106K - $119.8K
21% of jobs
$119.8K - $133.5K
2% of jobs
$133.5K - $147.3K
2% of jobs
$147.3K - $161K
5% of jobs
$161K - $174.8K
1% of jobs
$23.5K
$98.2K
$174.8K
How much do predictive analytics jobs pay per year?
What is a Predictive Analytics job?
A Predictive Analytics job involves using statistical techniques, machine learning models, and data analysis to forecast future trends and outcomes. Professionals in this field work with large datasets to identify patterns, assess risks, and provide data-driven recommendations. They commonly apply predictive models in industries such as finance, marketing, healthcare, and supply chain management. The role typically requires expertise in programming languages like Python or R, data visualization, and strong problem-solving skills.
What are some typical challenges faced in a Predictive Analytics position?
Professionals in Predictive Analytics often encounter challenges such as dealing with incomplete or inconsistent data, selecting the most appropriate modeling techniques, and ensuring models are both accurate and interpretable for business stakeholders. Additionally, balancing multiple projects with tight deadlines and aligning analytics solutions with strategic objectives can be demanding. However, these challenges provide excellent opportunities for creative problem-solving, collaboration with various departments, and continuous learning in a rapidly evolving field. Supportive team structures and access to up-to-date analytical tools typically help professionals overcome these obstacles. Embracing these challenges can significantly enhance your expertise and career trajectory in predictive analytics.
What are the key skills and qualifications needed to thrive in the Predictive Analytics position, and why are they important?
To thrive in Predictive Analytics, you need strong skills in statistical analysis, data modeling, and a solid educational background in mathematics, statistics, computer science, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as certifications like SAS or Microsoft Certified Data Analyst, is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating complex data into actionable insights. These skills are essential for accurately forecasting trends, informing business decisions, and effectively collaborating with cross-functional teams.

Full-time
Re-posted 28 days ago
Stellantis rating
7.5
Based on 127 frontline employees who took The Breakroom Quiz
15th of 44 rated automakers
Job description
Provides strategic and operational leadership over Early Detection, tool development and Helpline Investigations. This role ensures early risk identification, high-quality data analytics, effective tool development, and consistent support to investigations, recalls, and regulatory compliance activities.
Job Description:
Lead and supervise the early detection, tool development and helpline investigations team, setting priorities and aligning resources with the goal of identifying earlier detection indications of potential safety field issues.
- Management will consist of establishing/tracking deliverables, escalating risk items, developing continuous process improvement initiatives (improved early detection leading indicators, process accuracy and efficiencies), and establishing synergies.
- Oversee identification and analysis of emerging safety and compliance trends from structured and unstructured data sources.
- Ensure consistent methodologies for trend validation, escalation, recall scope assessment, and remedy effectiveness monitoring.
- Translate analytical results into clear, actionable insights for investigators and leadership.
- Oversee development, maintenance, and enhancement of analytics platforms, dashboards, and investigation tools.
- Ensure data anomaly detection, audits, and automated accuracy checks are established and maintained.
- Serve as primary liaison with ICT on data feeds, platform changes, audits, and enhancements.
- Provide oversight of Helpline intake and triage for safety, non-compliance, and emissions concerns.
- Ensure appropriate screening, escalation, confidentiality controls, and coordination with the Business Practices Office
Basic Qualifications:
- Bachelor's degree in Data Analytics, Management Information Systems (MIS), Computer Information Systems (CIS) Information Systems, Engineering, or a related technical or quantitative discipline
- Minimum of 8 years of experience working with data in a safety, regulatory, investigations, compliance, or operational analytics environment
- Experience working with large, complex datasets from multiple sources, including field data, warranty data, service data, customer feedback with a focus on predictive analytics
- Ability to analyze data to identify trends, patterns, gaps, and inconsistencies and clearly summarize findings
- Working knowledge of reporting, data analysis, and visualization tools (e.g., Excel, databases, dashboards); ability to learn internal systems quickly
- Experience supporting investigations, reporting, or program execution through timely and accurate data preparation
- Strong attention to detail with the ability to manage multiple priorities and meet time sensitive deadlines
- Ability to understand and break down complex data or issues into clear, actionable information
- Strong written and verbal communication skills to support internal stakeholders, including investigators, program managers, and leadership
- Ability to work independently on assigned tasks while collaborating effectively within cross functional teams
- Ability to clearly communicate both written and verbal to management, engineering, internal and external stakeholders and regulators
- Ability to lead a team in the execution of deliverables on a condensed timeline
Preferred Qualifications:
- Palantir experience
- Advanced degree
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