Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.
What You'll Do
- Independently partner with business stakeholders to understand complex operational challenges, build domain context, and frame analytical approaches — without predefined solutions or heavy direction
- Perform deep exploratory data analysis across payment operations, chart review workflows, and customer performance metrics to diagnose root causes and identify optimization opportunities
- Build and maintain dashboards and reporting infrastructure that give leaders real-time visibility into operational and financial performance
- Conduct business reviews including month-to-month bridges, waterfall analyses, and price-volume-mix decompositions to explain performance variance
- Use LLMs and AI-assisted tools (e.g., Claude, GPT) for data exploration, pattern identification, and accelerating analytical workflows
- Translate ambiguous business questions into structured analytical approaches with clear, actionable recommendations
- Work with both models and querying to understand problems — diagnosing first, then standardizing and building scalable solutions
- Partner cross-functionally with Product, Data Science, Engineering, and Operations teams to deliver analytics-ready solutions
- Build foundational data assets — base data sets, aggregates, and pipelines — required for robust reporting and insight generation
What You Bring
- 4-6 years of experience in product analytics OR a high-level business analytics role (quantifying product/business impact, translating data/insights/KPI into business decisions, showing impact using data and analysis, translating complex data analysis into stories to influence business decisions, etc.)
- Strong proficiency in SQL and Python for data manipulation, analysis, and visualization
- Demonstrated ability to independently diagnose complex business problems through exploratory data analysis — comfortable working without predefined solutions
- Experience with BI/visualization tools (e.g., Power BI, Tableau, Looker) and building dashboards for business stakeholders
- Familiarity with LLMs and AI tools for data analysis — comfortable using AI-assisted workflows to accelerate insight generation and excited to push the boundaries of what's possible
- Degree in a quantitative field (e.g., Economics, Statistics, Operations Research, Data Science, Engineering, or related discipline)
- Strong communication and storytelling skills — ability to work directly with senior stakeholders and present complex findings clearly to both technical and non-technical audiences
- Experience working with large-scale data warehouses (Databricks, Snowflake, BigQuery, or similar)
- Consulting mindset: ability to quickly build business context in unfamiliar domains, structure ambiguous problems, and deliver actionable recommendations
- Curiosity, growth mindset, and excitement about learning new areas — including healthcare, LLMs, and GenAI
- Comfort operating in a fast-paced, ambiguous environment and balancing short-term deliverables with longer-term strategic work
Nice-to-Haves
- Background in management consulting or strategic advisory (McKinsey, BCG, Bain, Deloitte, or similar)
- Economics background with understanding of causal reasoning and business impact measurement
- Experience in healthcare, payment integrity, or health insurance operations (or strong aptitude for quickly learning complex regulated domains)
- Experience with financial modeling and simulation — quantifying the impact of operational changes
- Familiarity with event-stream analytics and user behavior analysis
- Experience with dbt, Airflow, or similar data pipeline tools
What We Offer
- Work from anywhere in the US! Machinify is digital-first.
- Top Medical/Dental/Vision offerings
- FSA/HSA
- Tuition reimbursement
- Competitive salary, 401(k) with company match
- Unlimited PTO
- Additional health and wellness benefits and perks
- Flexible and trusting environment where you’ll feel empowered to do your best work
The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels and the base salary can range from $180k-$240k+ based on your assessed level. Compensation also includes meaningful equity, healthcare, unlimited PTO, and more.
Machinify Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Machinify and has not been reviewed or approved by Machinify.
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Healthcare Strength — Health coverage is described as employer-paid for employees with additional support for dependents, alongside dental, vision, mental health, and FSA/HSA options. Listings consistently depict comprehensive medical benefits.
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Leave & Time Off Breadth — Policies include unlimited PTO, paid holidays and sick time, and a weekly no‑meetings day. These elements indicate broad time‑off access alongside flexible scheduling.
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Parental & Family Support — Inclusive paid parental leave is stated at 14 weeks for birth and non‑birth parents. Family benefits are prominently featured across public materials.
Machinify Insights
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What We Do
Machinify is an AI start-up in the Healthcare space. Our software platform leverages the latest advances in machine learning, large language models, data analytics, and cloud processing to solve previously intractable problems in the healthcare industry impacting millions of lives.
Why Work With Us
We are a heavily cross-functional, collaborative diverse team working together to solve big problems that matter. If you are looking for an exciting environment where you'll be challenged to do the best work of your career, consider joining us!
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