Machinify

Sr. Data Analyst

Palo Alto, California, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, SoftwareIndustries

About Machinify

Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.

About the Opportunity

Join our Data Engineering team as a Sr. Data Analyst and help transform complex healthcare claims data into powerful insights that shape business strategy, drive clinical decisions, and support ML and analytics initiatives. You’ll architect data mappings, ensure data integrity, and serve as the go-to expert on claims data—bridging the gap between raw data and actionable outcomes.

What You’ll Do

  • Design and maintain robust data transformations and mappings to convert raw medical claims into standardized canonical models.
  • Perform detailed data quality audits to detect, troubleshoot, and resolve issues impacting accuracy and completeness.
  • Write and optimize Spark SQL queries to validate data pipelines and support ongoing analytics.
  • Document data transformation logic and lineage to ensure transparency and reusability.
  • Collaborate cross-functionally with business stakeholders to translate data needs into technical specs.
  • Support onboarding of new client data feeds, ensuring smooth integration with minimal disruption.
  • Partner with data engineers to build and scale data pipelines, improving performance and reliability.
  • Act 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.
  • Troubleshoot ETL workflows and performance issues, driving continuous improvement in data architecture.

What You’ll Bring

  • 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).
  • Advanced proficiency in SQL and familiarity working with Spark or similar big data framework will be a bonus.
  • 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 written and verbal communication skills, especially when explaining technical concepts to non-technical stakeholders (e.g., clinicians, account managers, data scientists).
  • Self-starter with a strong sense of ownership and accountability.

Employment Details

  • Employment Type: FullTime
  • Location Type: Remote

Equal Employment Opportunity at Machinify

Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.

Skills

Data Analysis
Data Transformation
Data Mapping
Data Quality Audits
Spark SQL
ETL
Healthcare Claims Data
Business Strategy
Clinical Decisions
Machine Learning
Analytics
Data Pipelines
SQL

Machinify

AI-driven solutions for healthcare administration

About Machinify

Machinify provides AI-driven solutions to improve decision-making in the healthcare industry. Its platform helps health plans, payers, and providers optimize their operations, particularly in areas like claims processing and utilization management. The applications offered by Machinify can be quickly deployed, allowing clients to see immediate returns on investment. This focus on rapid implementation sets Machinify apart from competitors, as healthcare organizations increasingly seek cost efficiency and better patient outcomes. The company's goal is to enhance operational efficiency and help clients manage healthcare expenditures more effectively.

Palo Alto, CaliforniaHeadquarters
2016Year Founded
$15.2MTotal Funding
SERIES_ACompany Stage
AI & Machine Learning, HealthcareIndustries
51-200Employees

Benefits

Medical, dental, & vision
Flexible work environment
Generous PTO
Competitive salary
Equity
401(k)
Sponsorship
Generous L&D Reimbursement policy

Risks

Integration challenges with Evolent Health could disrupt Machinify's operations.
Slow adoption of new technologies in healthcare may hinder Machinify's rapid deployment.
Reliance on a few large clients poses a risk if they switch providers.

Differentiation

Machinify leverages AI to optimize healthcare decision-making and administrative processes.
The company offers rapid deployment of AI applications for immediate ROI in healthcare.
Machinify's AI platform addresses the entire healthcare claims lifecycle efficiently.

Upsides

AI-driven automation in healthcare claims processing is gaining significant traction.
The healthcare AI market is projected to reach $45.2 billion by 2026.
Machinify's AI solutions reduce administrative costs and improve patient care access.

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