Upgrade Inc.
AI Process Improvement Analyst - Ops
Phoenix
Sponsorship not specifiedDetected 22 days ago
SQLData AnalysisLLMsAI OrchestrationJiraConfluenceGoogle AnalyticsProcess ImprovementRecruitingCustomer SupportCritical Thinking
About the role
- We are seeking a highly motivated AI Process Improvement Analyst to join our high-performing team within the Business Operations Department.
- Over the past 9 years, Upgrade has grown rapidly and launched several main products
- This role is based in our Phoenix Office on a Hybrid basis 3 days per week.
Responsibilities
- Leverage AI prompt engineering and workflow automation to design, test, and execute virtual agent workflows and automated business processes.
- Gather anecdotal and quantitative data across Upgrade's proprietary back-end tools, contact center platforms, and third-party system integrations to drive cost-business analysis.
- Monitor key systems for Upgrade across operational areas including verifications, servicing, virtual agents, and customer support.
- Collaborate cross-functionally with operations, product, and customer experience teams to identify and triage issues across domains, translating operational friction into product scoping, user stories, and business requirements (BRDs) for process improvement
- Possesses a strong internal drive for Process Improvement, leveraging a natural curiosity to instinctively spot friction points and transform complex workflows into smarter, more scalable processes.
Requirements
- 2-3 years of professional experience in business operations, data analytics, product operations, or a systems analyst role.
- Financial Services or Fintech background of at least 1 year working within financial services, lending, digital banking, or a similarly regulated fast-paced environment.
- Strong understanding and applied use of SQL for deep-dive data analysis.
- Experience with Web Analytics or Conversation Analytics tools (e.g., Heap, Full Story, Adobe, Google Analytics, or contact center analytics platforms).
Nice to have
- Bachelor's degree in Business Administration, Finance, Management Information Systems (MIS), Economics, Data Analytics, or a related field.
- Experience with third-party APIs, solutions integration, and AI middleware.
- Familiar with Atlassian products (Jira, Confluence, OpsGenie).
- Opportunities for professional growth and development
- Upgrade does not accept unsolicited resumes from staffing agencies, search firms, or any third parties.
- Any resume submitted to any employee of Upgrade without a prior written agreement in place will be considered the property of Upgrade, and Upgrade will not be obligated to pay any referral or placement fee.
- Agencies must obtain advance written approval from Upgrade's Talent Acquisition department to submit resumes and only in conjunction with a valid, fully executed agreement.
- English is required for all positions, as it involves interacting with staff at Upgrade's offices worldwide.
Skills
- Critical thinking skills to recommend original, AI-driven, and highly productive process optimization ideas.
- Practical understanding of AI technologies, prompt engineering, and LLM behavior in a customer service or virtual agent context.
Compensation
- Competitive salary and stock option plan
Benefits
- Competitive salary and stock option plan
- 100% paid coverage of medical, dental and vision insurance
- Paid parental leave
- Health & wellness initiatives
- We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Company info
- We are seeking a highly motivated AI Process Improvement Analyst to join our high-performing team within the Business Operations Department. Over the past 9 years, Upgrade has grown rapidly and launched several main products
Equal opportunity
- equal opportunity employer and value diversity at our company.
- We are an equal opportunity employer and value diversity at our company.
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This listing is sourced directly from Upgrade Inc.'s careers page and normalized into a canonical job model.