DMG Data Mining Analyst II

Machinify
Remote - US$90k – $140kPosted 21 March 2026

Tech Stack

Job Description

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. About the Opportunity At Machinify, we’re constantly reimagining what’s possible in our industry—creating disruptively simple, powerfully clear ways to maximize our clients’ financial outcomes today and drive down healthcare costs tomorrow. As part of the Data Mining Group team, your role will require in-depth technical expertise in extracting hidden patterns and insights from large, complex datasets using advanced algorithms and data mining techniques. In this position, you will lead small projects , creating and maintaining comprehensive reports and visualizations that drive actionable insights. You will collaborate closely with other departments to ensure that data-driven solutions align with business objectives. Additionally, you will play a critical role in training new analysts , helping them develop technical and analytical skills. Your responsibilities will also include designing and refining data processes and procedures , ensuring continuous improvement in data mining operations. Working with over $600 billion in medical data annually , you will contribute to examining, interpreting, and visualizing trends in healthcare data, directly impacting business strategy and operational efficiencies. This role offers opportunities to innovate and take ownership of complex data-driven projects within a collaborative, forward-thinking team environment that fosters creative problem-solving. What you’ll do Examine, interpret, and visualize trends in medical data to generate actionable insights that support new business processes and refine existing ones. Execute, maintain, and monitor SQL queries efficiently to meet business objectives. Create and maintain detailed reports that combine narrative and visual elements to effectively communicate results to diverse audiences. Continuously evaluate and enhance data mining and enrichment processes, developing tools and programs to identify new opportunities. Lead and manage small data projects, ensuring timely and successful delivery. Work closely with other departments to align data insights with organizational goals. Build custom reporting queries for Business Operations. What experience you bring (Role Requirements) Bachelor's degree in business, technology, or a related field. Minimum of five years' expert experience with Microsoft SQL. Experience with medical and pharmacy claims strongly preferred. Advanced-level proficiency in Microsoft Excel. SQL experience in a Big Data environment. Ability to proactively develop innovative solutions while balancing multiple tasks. Strong analytical skills with the ability to work in a high-performing, collaborative environment. 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 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 our Recruiting team will let you know if you qualify for a different role/range. Pay range: $90,000 - $140,000 Equal Employment Opportunity at Machinify We are committed to equal ... (truncated, view full listing at source)
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