Senior Analyst, Predictive Analytics and Machine Learning locations USA - Remote time type Full time job requisition id R13535 Credit Acceptance is proud to be an award-winning company with local and national workplace recognition in multiple categories! Our world-class culture is shaped by dedicated Team Members who share a drive to succeed as professionals and together as a company. A great product, amazing people and our stable financial history have made us one of the largest used car finance companies nationally. 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.

• Own and drive the Data Team strategy • Design, communicate and execute a clear data strategy aligned with EPI’s goals • Develop, update and own the data product roadmap • Advocate for a decentralized data vision (e.g. Data Mesh–inspired approaches) and educate the organisation on what this means in practice • Influence direction and outcomes without relying on formal authority, using persuasion, alignment and impact-driven storytelling • Lead hands-on delivery • Stay close to the work of data engineers and analysts to ensure high-quality, pragmatic solutions • Act as a bridge between technical implementation, product thinking and business needs • Challenge assumptions and guide technical decisions without micromanaging execution • Drive project and delivery management • Plan and prioritise the team’s work based on capacity, impact and strategic value • Structure day-to-day work to ensure predictable delivery while protecting focus time • Manage ad hoc requests in a sustainable way and balance short-term needs with long-term goals • Shape stakeholder collaboration and requirements • Serve as the main interface between the Data Team and multiple stakeholders across the organisation • Set clear boundaries and collaboration models to avoid unstructured, disruptive requests • Help stakeholders clarify their needs and translate them into actionable, well-defined data and product requirements • Lead people and enable the team • Build trust, psychological safety and strong collaboration within a highly technical team • Lead an introverted or specialist-heavy team with empathy and proactive communication • Increase the visibility, impact and perceived value of the Data Team across EPI • Ensure governance, quality and responsible data use • Provide strategic guidance on data governance, GDPR, compliance and responsible data practices • Ensure data products (e.g. dashboards) are reliable, meaningful and aligned with business objectives

Job Title: Customer Insights Data Analyst Job Description We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled. Concentrix is the global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent. The Concentrix Technical Products and Services team is the driving force behind Concentrix’s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision. Our gamechangers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as "World's Best Workplaces," “Best Companies for Career Growth,” and “Best Company Culture,” year after year. Role: Customer Insights Data Analyst Location: Remote Job Summary: The Concentrix VOC Analytics team specializes in providing businesses with critical answers to guide their path. Using a variety of data collection methodologies underpinned by the latest data science, our team captures the voice of the customer across the lifecycle. As a Customer Insights Data Analyst, you have the unique opportunity to work on voice of the customer research for leading companies across a number of industries. Working in a team environment, you will participate in fast-paced projects and build expertise in client management skills, data analytics, and customer experience design. The ideal candidate will possess a strong analytical background, excellent problem-solving skills, and the ability to work collaboratively with cross-functional teams. As well as the ability to translate data into clear, actionable insights and tell a compelling story with the data. Data Analysis and Interpretation: - Analyze large datasets to identify trends, patterns, and insights. - Develop and maintain dashboards and reports to communicate findings to stakeholders. - Create compelling stories that address business questions based on voice of the customer and other customer experience data Client Consultation: - Understand the clients’ customer experience opportunities and take responsibility for planning analyses that answer, ‘what to do' and ‘why’ - Consult with clients to identify key business questions and data needs and translate these into analytic insights - Present data-driven insights in a clear and concise manner to non-technical audiences. Data Visualization: - Prepare charts, tables, and diagrams (primarily in Power Point) to assist in analysis of business questions based on survey data - Knowledge of Power BI or other business intelligence tools a plus Statistical Acumen/Aptitude: - Expertise in understanding and interpreting statistical concepts such as key driver modeling and segmentation - Effectively communicate technical data science and analysis in a way that business owners understand - Have a working knowledge of how to manipulate and analyze data in R or Python Collaboration and Communication: - Work with cross-functional teams, both internally and within clients’ organizations - Own client discussions and delivery of presentations - Function independently with little intermediate supervision of assigned tasks prior to completion Innovation and Research: - Propose innovative approaches to data analysis and problem-solving. Required Skills and Qualifications: Education: Bachelor’s or master’s degree in social sciences, market research, business analytics, or a related field. Experience: 3+ years of experience in data analysis, market research/voice of the customer experience or related experience in quantitative analysis. Technical Skills: Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools like Tableau, Power BI, or similar. Experience working with generative AI, particularly LLMs Familiarity with cloud platforms Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and presentation skills. Ability to work independently and as part of a team The base salary for this position is $80,217 – 114,596 plus incentives that align with individual and company performance. Actual salaries will vary based on work location, qualifications, skills, education, experience, and competencies. Benefits available to eligible employees in this role include medical, dental, and vision insurance, comprehensive employee assistance program, 401(k) retirement plan, paid time off and holidays and paid learning days. The deadline to apply for this position is: 04/22/2026. This position is for an existing, immediate vacancy. We are currently seeking to fill this role with an individual who can start as soon as possible. As part of the hiring process, candidates may be required to undergo background screening and identity verification, where permitted by applicable law and consistent with the requirements of the role. Certain verification processes used by the Company or its service providers may involve technologies that rely on biometric identifiers or biometric information, where permitted by law. If biometric identifiers or biometric information are collected, used, or stored, the Company will provide the legally required disclosures and obtain any required written consent prior to such collection, and will handle such information in accordance with applicable biometric privacy laws and Company policies. Physical and Mental Requirements The employee is regularly required to operate a computer, keyboard, telephone/headset, and/or other office equipment as essential functions of this position. Work is generally sedentary in nature. Equal Employment Opportunity Concentrix is an equal opportunity and affirmative action (EEO-AA) employer. We promote equal opportunity to all qualified individuals and do not discriminate in any phase of the employment process based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy or related condition, disability, status as a protected veteran, or any other basis protected by law. For more information regarding your EEO rights as an applicant, please visit the following websites: - English: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf - Spanish: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRightsSp6.12.pdf Accommodation Concentrix welcomes and encourages applications from candidates with disabilities and is committed to providing an inclusive recruitment process. If you require reasonable accommodation to participate in any stage of the application or interview process, please let us know. Requests may be made by contacting app.acco@concentrix.com. All information will be treated confidentially and used solely to facilitate your participation in the recruitment process. Artificial Intelligence As part of our recruitment process, we may use artificial intelligence (AI) tools to assist in the screening and/or assessment of job applicants. These tools could be used to evaluate resumes, applications, and other materials submitted to help us identify the best candidates for the role. Work Authorization In accordance with federal law, only applicants who are legally authorized to work in the United States will be considered for this position. Must reside in the United States or have a valid U.S. address for residence. For further information on available work states and Equal Employment Opportunity as an applicant, please visit: https://jobs.concentrix.com/north-america-equal-employment-opportunity-information/ #WAH #LI-Remote #Concentrix Location: USA MI Work-at-Home Language Requirements: Time Type: Full time Physical and Mental Requirements: The employee is regularly required to operate a computer, keyboard, telephone/headset, and/or other office equipment as essential functions of this position. Work is generally sedentary in nature. Equal Employment Opportunity: Concentrix is an equal opportunity and affirmative action (EEO-AA) employer. We promote equal opportunity to all qualified individuals and do not discriminate in any phase of the employment process based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy or related condition, disability, status as a protected veteran, or any other basis protected by law. For more information regarding your EEO rights as an applicant, please visit the following websites: · English · Spanish Accommodation: Concentrix welcomes and encourages applications from candidates with disabilities and is committed to providing an inclusive recruitment process. If you require reasonable accommodation to participate in any stage of the application or interview process, please let us know. Requests may be made by contacting app.acco@concentrix.com. All information will be treated confidentially and used solely to facilitate your participation in the recruitment process. Artificial Intelligence: As part of our recruitment process, we may use artificial intelligence (AI) tools to assist in the screening and/or assessment of job applicants. These tools could be used to evaluate resumes, applications, and other materials submitted to help us identify the best candidates for the role. Work Authorization: In accordance with federal law, only applicants who are legally authorized to work in the United States will be considered for this position. Must reside in the United States or have a valid U.S. address for residence. For further information on available work states and Equal Employment Opportunity as an applicant, please click HERE

Job Summary The Campaign Specialist support the production and day‑to‑day operations of multiple direct mail fundraising campaigns in alignment with agency‑wide and departmental goals. The Specialist coordinates campaign timelines, creative assets, data inputs, vendor deliverables, and quality controls to ensure accurate, timely execution. Working under the direction of the Manager and in collaboration with internal partners, s/he supports performance tracking, issue resolution, and continuous improvement efforts while building foundational skills in direct response fundraising, donor experience, and campaign operations. Role and Key Responsibilities - Execute direct mail fundraising strategies by supporting multiple campaigns from planning through completion, ensuring alignment with agency and departmental goals. - Coordinate campaign schedules, documentation, and workflows; track milestones to support timely delivery of creative assets, data files, and production outputs. - Support campaign production by working closely with internal writers, editors, and graphic designers, and by coordinating deliverables with external vendors such as mailshops and printers. - Support internal fulfillment activities by preparing job specifications, instructions, and purchase orders; maintain vendor capability lists; and review vendor invoices for accuracy prior to submission for payment. - Perform quality checks on campaign materials, including proofreading and reviewing letters, cards, brochures, catalogs, and other mail components before production. - Prepare mail file orders and audience segmentation instructions; verify accuracy of coding, personalization, and setup in collaboration with data and analytics teams. - Track campaign expenses and performance, completing backend reporting and supporting analysis against established metrics and budgets. - Maintain tracking tools for campaign expenses, production samples, and inventory to support operational accuracy and reconciliation. - Assist with identifying and resolving day‑to‑day production issues, escalating risks or delays as appropriate.