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Predictive Analytics Jobs (NOW HIRING)

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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Predictive Analytics information

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$27K

$112.7K

$200.5K

How much do predictive analytics jobs pay per year?

As of Jun 20, 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 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.

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:
Infographic showing various Predictive Analytics job openings in the United States as of June 2026, with employment types broken down into 79% Full Time, 13% Part Time, and 8% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $112,722 per year, or $54.2 per hour.
Senior Analyst, Predictive Analytics and Machine Learning

Senior Analyst, Predictive Analytics and Machine Learning

Credit Acceptance Corporation

Remote

$128K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 9 days ago


Credit Acceptance rating

9.3

Company rating: 9.3 out of 10

Based on 15 frontline employees who took The Breakroom Quiz


Job description

Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country.
Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture!
The Senior Analyst, Predictive Analytics and Machine Learning designs, develops, and maintains statistical and machine learning models that support high-impact business decisions across pricing, credit risk, and other areas. This role is a hands-on, advanced individual contributor position focused on rigorous analysis, model development, and production performance monitoring, with strong partnership across business and technical stakeholders.
Outcomes and Activities:
  • This position will work from home; occasional planned travel to our Southfield, Michigan office may be required. However, this position is permitted to work at our Southfield, Michigan office if requested by the team member.
  • Develop and maintain complex statistical and machine learning models that optimize high-volume, data-driven decisions and deliver measurable business value.
  • Actively monitor models in production, identify performance degradation or data issues, and recommend corrective actions or enhancements.
  • Develop complex SQL and analytical code to extract, transform, and validate large, multi-source datasets used for modeling, reporting, and decision support.
  • Perform ad hoc and exploratory analyses to address business questions, evaluate trade-offs, and inform policy or strategy decisions.
  • Translate high-level business objectives into analytical tasks, technical specifications, and modeling approaches.
  • Ensure data quality, consistency, and suitability for modeling; support testing, validation, and implementation activities required for production deployment.
Requirements:
  • Bachelor's degree or higher in a quantitative field (e.g., statistics, mathematics, economics, engineering, computer science, or related discipline).
  • 3+ years of experience applying analytical and programming skills in a business or research environment.
  • Proficiency in one or more analytical and programming languages such as Python, SQL, R, or SAS.
  • Strong analytical problem-solving skills with the ability to apply quantitative methods creatively to business problems.
  • Expertise in extracting, manipulating, and analyzing large-scale datasets.

Preferred:
  • Advanced proficiency in Python, SQL, and statistical tools (e.g., R, SAS).
  • Experience developing or supporting predictive models such as credit scorecards, pricing models, or collections strategies.
  • Experience in financial services analytics or a related regulated, data-intensive industry.
  • Familiarity with model performance monitoring, validation concepts, and production analytics.

Targeted Compensation: $128,000 - $165,000 base salary + an annual bonus plan
This position is not currently open to individuals who require sponsorship now or in the future to work legally for Credit Acceptance, such as H-1b / H-4 or F-1 OPT visa holders.
#LI-Remote
#zip
INDCSLP
Benefits
  • Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work

Our Company Values:
To be successful in this role, Team Members need to be:
  • Positive by maintaining resiliency and focusing on solutions
  • Respectful by collaborating and actively listening
  • Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions
  • Direct by effectively communicating and conveying courage
  • Earnest by taking accountability, applying feedback and effectively planning and priority setting

Expectations:
  • Remain compliant with our policies processes and legal guidelines
  • All other duties as assigned
  • Attendance as required by department

Advice!
We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application!
P.S.
We have great details around our stats, success, history and more. We're proud of our culture and are happy to share why - let's talk!
Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent.
Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person's age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic.
California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you.
Play the video below to learn more about our Company culture.

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