Business Systems Analyst

MACHINE LEARNING TECHNOLOGIES LLC; Minneapolis (MN); On-site; USD 86,000 - 123,000; Full time

Job summary

Machine Learning Technologies LLC is seeking a Business Systems Analyst in Minneapolis, MN to gather, analyze, and document complex business, operational, and system requirements. You will translate needs into functional specs, workflows, and user stories while collaborating with stakeholders across business and technical teams.

The role involves working with data science to define model inputs/outputs and validation criteria, supporting AI governance and intelligent automation initiatives

Qualifications

• Gather, analyze, and document complex business, operational, and system requirements.
• Translate business needs into functional requirements, workflows, process models, and user stories.
• Collaborate with business, operations, product, engineering, and data science teams.

Responsibilities

• Gather, analyze, and document complex business, operational, and system requirements.
• Translate business needs into functional requirements, workflows, process models, and user stories.
• Conduct requirements workshops with stakeholders.
• Support end-to-end solution design, implementation, and validation.
• Analyze healthcare claims, provider billing patterns, member utilization, and payment integrity opportunities.
• Define business rules, signals, and intervention logic for AI-enabled workflows.
• Partner with Data Science teams to define model inputs, outputs, and success metrics.

Job description

Job Overview

• Job ID: J53964
• Job Title: Business Systems Analyst
• Location: Minneapolis, MN
• Duration: 12 Months + Extension
• Domain Exposure: Real Estate
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C
• Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other
• Bill Rate: $76/hour
• Job Type: W-2, 1099, C2C

Job Description

• Gather, analyze, and document complex business, operational, and system requirements.
• Translate business needs into functional requirements, workflows, process models, and user stories.
• Conduct requirements workshops with business and technology stakeholders.
• Support end-to-end solution design, implementation, and business validation.
• Analyze healthcare claims, provider billing patterns, member utilization, and payment integrity opportunities.
• Identify improper payments, financial leakage, root causes, and process improvement opportunities.
• Collaborate with healthcare SMEs to understand clinical and non-clinical claim scenarios.
• Translate business risks and operational challenges into AI-ready requirements.
• Define business rules, signals, thresholds, and intervention logic for AI-enabled workflows.
• Partner with Data Science teams to define model inputs, outputs, validation criteria, and success metrics.
• Support Human-in-the-Loop processes, AI governance, and intelligent automation initiatives.
• Analyze large healthcare datasets to identify trends, anomalies, and business improvement opportunities.
• Define KPIs, reporting requirements, and business validation strategies with analytics teams.
• Collaborate with business, operations, product, engineering, and data science teams.
• Present findings and recommendations to leadership and drive alignment across stakeholders.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.