We develop software that helps people get the right medical care, at the right time, at the right price.
The Role
Transform and validate large healthcare claims and eligibility datasets, perform data quality audits and reconciliation, design data mappings and ETL validations, generate recurring and ad-hoc reports, partner with engineers, data scientists, and business stakeholders to support analytics, ML use cases, and client deliverables, and drive continuous improvement in data architecture and reporting processes.
Summary Generated by Built In
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.
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 a Senior Data Analyst, you will play a critical role in transforming complex healthcare claims and eligibility data into actionable insights that shape business strategy, drive clinical decisions, and support machine learning and analytics initiatives. You’ll architect data mappings, ensure data integrity, and serve as the go-to expert on healthcare data—bridging the gap between raw data and actionable outcomes.
What You’ll Do:
Data Quality & Analysis
- Perform detailed data quality audits to detect, troubleshoot, and resolve issues impacting accuracy and completeness.
- Conduct in-depth analysis of data quality and integrity to identify and resolve issues.
- Create and execute SQL queries to validate data transformations and support data analysis efforts.
- Analyze and troubleshoot ETL processes and data architectures for performance and quality.
- Develop, generate, and maintain client program reports, ensuring accuracy, timeliness, and alignment with client expectations and business objectives.
- Perform detailed data analysis and reconciliation activities to ensure program integrity, including validating outputs against source data and expected results.
- Track and analyze program performance over time, identifying variances, root causes, and trends to ensure accuracy and consistency of results.
- Reconcile data across multiple sources (e.g., claims, eligibility, and reporting outputs) to ensure alignment and completeness.
- Partner with internal teams to investigate discrepancies, implement corrections, and ensure accurate downstream reporting and client deliverables.
- Develop, generate, and maintain recurring and ad hoc reports for both internal stakeholders and external clients, ensuring accuracy, clarity, and timeliness.
Collaboration & Communication
- Collaborate cross-functionally with business stakeholders to translate data needs into technical specifications.
- Support onboarding new client data feeds, ensuring smooth integration with minimal disruption.
- Partner with data engineers to build and scale data pipelines, improving performance and reliability.
- Serve as a subject matter expert for healthcare claims data—advising on risk, trends, and business impact.
- Work closely with data scientists to enable advanced analytics, ML models, and reporting use cases.
- Excellent written and verbal communication skills, especially when explaining technical concepts to non-technical stakeholders.
- Coordinate and support cross-functional project activities, including tracking deliverables, timelines, and dependencies to ensure successful project execution.
- Work directly with internal teams and client stakeholders to define reporting requirements, KPIs, and success metrics.
- Translate analytical findings into clear, actionable insights through dashboards, reports, and presentations tailored to both technical and non-technical audiences.
- Ensure consistency and standardization of reporting outputs across programs and clients.
Continuous Improvement
- Troubleshoot ETL workflows and performance issues, driving continuous improvement in data architecture.
- Create comprehensive documentation of data mapping, transformation, and validation processes.
- Identify opportunities to improve reporting processes, streamline workflows, and enhance project coordination efficiency.
- Continuously evaluate and enhance reporting frameworks, dashboards, and delivery processes to improve efficiency, scalability, and client value.
- Collaborate with data engineering teams to evaluate and implement new data pipelines, mining engines, and other technologies to enhance data analysis capabilities.
Data Transformation & Mapping
- Design and maintain robust data transformations and mappings to convert raw medical claims and eligibility data into standardized canonical models.
- Develop complex data mappings and structures to support advanced analytics, reporting, and decision-making.
- Document data transformation logic and lineage to ensure transparency and reusability.
What experience you bring (Role Requirements):
- Bachelor’s degree in business, Computer Science, Health Informatics, or a related field.
- 3+ years of experience as a data analyst or business analyst working with large datasets.
- 2+ years of hands-on experience with healthcare claims data (e.g., 837 EDI, medical billing, encounter data).
- Experience within a healthcare-related field working with very large data sets of medical and pharmacy claims.
- Advanced proficiency in SQL and familiarity working with Spark, Snowflake, DPE or similar big data frameworks.
- Solid understanding of data modeling concepts and best practices for analytics.
- Proven problem-solving skills and attention to detail in complex data environments.
- Strong organizational skills and ability to manage multiple concurrent initiatives.
- Excellent communication, time-management, and task prioritization skills.
- Ability to build and maintain strong working relationships across the organization.
- Self-starter with a strong sense of ownership and accountability.
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: $95,000 - $110,000
Equal Employment Opportunity at Machinify
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/
Skills Required
- Bachelor's degree in Business, Computer Science, Health Informatics, or a related field.
- 3+ years of experience as a data analyst or business analyst working with large datasets.
- 2+ years of hands-on experience with healthcare claims data (e.g., 837 EDI, medical billing, encounter data).
- Experience working with very large medical and pharmacy claims datasets.
- Advanced proficiency in SQL.
- Familiarity working with Spark, Snowflake, DPE, or similar big data frameworks.
- Solid understanding of data modeling concepts and best practices for analytics.
- Proven problem-solving skills and attention to detail in complex data environments.
- Strong organizational skills and ability to manage multiple concurrent initiatives.
- Excellent communication, time-management, and task prioritization skills.
- Ability to build and maintain strong working relationships across the organization.
- Self-starter with a strong sense of ownership and accountability.
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.
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The Company
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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