Continually analyze operational signals from AI Operations viz. cost, quality, and usage and translate them into the roadmap and resolutioning work, including vendor renewal and trueup decisions.
Continually analyze operational signals from AI Operations viz. cost, quality, and usage and translate them into the roadmap and resolutioning work, including vendor renewal and trueup decisions.
Trueup information
What is a trueup?
Trueup is not a traditional job title, but rather a technology company known for providing data-driven insights and analytics about the tech job market. The company aggregates information on job openings, layoffs, and hiring trends across tech companies, helping job seekers and employers stay informed. If you're interested in Trueup jobs, you might be looking for employment opportunities within the Trueup company itself, which could include roles in software engineering, data analysis, or business development.
What are the key skills and qualifications needed to thrive as a Trueup financial data analyst?
To thrive as a TrueUp Financial Data Analyst, you need strong analytical skills, proficiency in financial modeling, and a background in finance or accounting, often demonstrated by a relevant degree. Familiarity with data analytics platforms (such as Tableau or Power BI), advanced Excel capabilities, and experience with financial databases are typically required. Attention to detail, effective communication, and problem-solving abilities help you interpret data and present actionable insights to stakeholders. These skills are vital for delivering accurate financial analyses that guide business decisions and drive organizational growth.
What are some common challenges Trueup analysts face when interpreting complex financial data?
Trueup analysts often work with large volumes of financial data from various sources, which can present challenges in ensuring data accuracy and consistency. Reconciling discrepancies and identifying data integrity issues require strong attention to detail and advanced analytical skills. Additionally, analysts must communicate their findings clearly to both technical and non-technical stakeholders, making collaboration and strong communication essential. Staying updated with evolving financial regulations and best practices also plays a key role in overcoming these challenges.
What is the difference between Trueup vs Payroll Specialist?
| Aspect | Trueup | Payroll Specialist |
|---|---|---|
| Required Credentials | Knowledge of payroll processes, basic accounting, and compliance | Payroll certifications, accounting knowledge, and HR understanding |
| Work Environment | Finance or HR departments, office setting | HR or finance departments, office setting |
| Employer & Industry Usage | Used in payroll reconciliation and accounting adjustments | Used in processing payroll, tax filings, and employee payments |
Trueup and Payroll Specialist roles both involve payroll processes, but Trueup focuses on reconciling payroll accounts and adjusting discrepancies, while Payroll Specialists handle the entire payroll cycle, including processing payments and compliance. Both roles require payroll knowledge, but Payroll Specialists often need certifications and broader HR or accounting expertise.
What skills are needed for trueup jobs?
Trueup jobs typically require strong attention to detail, analytical skills, and proficiency with spreadsheets and accounting software. Good communication skills and the ability to work independently or as part of a team are also important for reconciling accounts and ensuring accuracy.
What states have the most Trueup jobs?
States with the most job openings for Trueup jobs include:
What job categories do people searching Trueup jobs look for?
The top searched job categories for Trueup jobs are:
Full-time
Medical, Dental, Vision, Retirement
Posted 28 days ago
Credit Acceptance rating
9.3
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!
This role operates at the intersection of business, product, engineering, and AI/ML, and serves as the single point of contact to the business for their assigned domains. The Staff AI ML Solutions Engineer partners closely with stakeholders across Business Operations, ML Engineering, Platform Engineering, Data Science, AI Operations, Analytics, and Marketing.
Outcomes and Activities:
- This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member.
- Serve as the single point of contact to the business for assigned AI/ML domains; understand business needs, identify AI/ML opportunities, and define solution direction.
- Lead discovery: frame the business problem, size the opportunity, and validate the need and feasibility before committing to a solution.
- Own the product roadmap and its prioritization, making and demonstrating value in what the organization should and should not pursue.
- Define success in measurable terms, the KPIs and the vision and roadmap perproduct.
- Translate framed problems into clear solution direction, technical specifications, and delivery plans in partnership with AI/ML Engineering and AI/ML Science teams.
- Own the buildversusbuy recommendation for assigned solutions, with a defensible rationale; lead vendor evaluation, commercial input, integration design, and proofofconcept scoping.
- Own the solution lifecycle from problem framing through delivery, adoption, and continuous improvement.
- Continually analyze operational signals from AI Operations viz. cost, quality, and usage and translate them into the roadmap and resolutioning work, including vendor renewal and trueup decisions.
- Establish, monitor, and analyze KPIs to evaluate effectiveness and drive iterative improvement.
- Act as a trusted advisor to business and technology leadership, influencing decisions through expertise, data, and clear communication, and protecting the roadmap from being captured by what is technically interesting rather than valuable.
Competencies: The following items detail how you will be successful in this role.
- Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience.
- Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions.
- One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively.
- Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business.
Required:
- Bachelor's degree in computer science, Engineering, Business, Data Science, Artificial Intelligence, Data Analytics or a related field (Master's degree preferred).
- 8+ years of experience in technical product management, solution ownership, or businessfacing solution roles, preferably within financial services, and including AI/ML or data products.
- Strong understanding of AI and machine learning concepts and system design, ability to set realistic expectations, and make defensible buildversusbuy decisions.
- Demonstrated ability to own a product outcome end to end, from problem framing through launch and post launch monitoring.
- Working proficiency with Python, system design and SQL sufficiently to engage credibly with technical teams and reason about feasibility.
- Strong understanding of AI features and capabilities including RAG, multi-agent systems, agentic AI, LLM applications, etc.
- Demonstrated ability to lead complex, crossfunctional initiatives without formal people management responsibility.
- Excellent problemsolving, analytical, and stakeholdercommunication skills, including ability to communicate value and ROI to senior leadership.
- Comfortable operating with significant autonomy, accountability, and ambiguity.
Preferred:
- Experience defining metrics and KPI frameworks for AIML or data products.
- Experience implementing solutions using Databricks, Mlflow, AWS technology stack.
- Experience owning vendor relationships, commercial negotiations, or integration design.
- Experience working in at least two of the following areas: Product, Data Science, Machine Learning, Data Engineering, Software Engineering.
- Strong working knowledge of Agile and Scrum methodologies.
Knowledge and Skills:
- Ability to translate fuzzy business needs into both a measurable definition of success and a feasible solution shape.
- Strong systems thinking and ability to solve problems at the root cause with practical, scalable solutions.
- Strong prioritization skills and the ability to say no, when required.
- Ability to communicate complex technical and analytical information clearly and concisely, both verbally and in writing, including senior and executive leadership.
- Ability to build trust, credibility, and strong relationships across all levels of the organization.
- Proven ability to prioritize effectively and execute in a fastpaced, highpressure environment.
Target Compensation: A competitive base salary range from $153,760 - $225,514.This position is eligible for an annual variable bonus of cash and equity, between 10-20%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications.
Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego.
INDENGLP
#zip
#LI-Remote
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.
What Credit Acceptance employees say
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About Credit Acceptance
Sourced by ZipRecruiter
Industry
Finance and insurance
Company size
1,001 - 5,000 Employees
Headquarters location
Southfield, MI, US
Year founded
1972