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Predictive Analytics Jobs (NOW HIRING)

Ardent

Cybersecurity Analytics Lead

Washington, DC

Support fraud analytics, predictive analytics, and forensic analysis activities across enterprise environments. * Conduct analysis of structured and unstructured data to identify suspicious or ...

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How much do predictive analytics jobs pay per year?

As of May 30, 2026, the average yearly pay for predictive analytics in the United States is $112,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $123,000.00 per year, depending on experience, location, and employer.

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 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.

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.
More about Predictive Analytics jobs
What cities are hiring for Predictive Analytics jobs? Cities with the most Predictive Analytics job openings:
What are the most commonly searched types of Predictive Analytics jobs? The most popular types of Predictive Analytics jobs are:
What states have the most Predictive Analytics jobs? States with the most job openings for Predictive Analytics jobs include:
What job categories do people searching Predictive Analytics jobs look for? The top searched job categories for Predictive Analytics jobs are:
Predictive Analytics jobs near you
Infographic showing various Predictive Analytics job openings in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $112,722 per year, or $54.2 per hour.
Predictive Analytics and Early Detection Lead

Predictive Analytics and Early Detection Lead

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 17 days ago

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 122 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

Job description

Purpose of Position:
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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