Analytics Engineer

Company: Machinify Inc.
Location: Palo Alto
Posted on: November 2, 2024

Job Description:

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.As an Analytics Engineer on our Data Team, you'll be at the heart of transforming raw data into powerful insights that drive smarter product decisions. Working alongside product managers, data scientists, subject matter experts, and functional leads, you'll build and fine-tune data pipelines, ensuring our data is always accurate, accessible, and actionable. Your insights into product usage and performance will fuel Machinify's innovative solutions.What You'll Do:

• Data Analysis: Dive deep into data to reveal insights on product performance, customer behavior, claims patterns, and key financial metrics.
• Analytics Engineering: Develop and refine data models, transformations, and visualizations that fuel decision-making across teams.
• Data Pipeline Development: Design, build, and maintain scalable, efficient data pipelines using Airflow to keep our data flowing seamlessly.
• Collaboration: Partner closely with product managers, data scientists, SMEs, and function to understand data needs, deliver insights, and support product innovation.What You'll Bring:
  • Experience: 3+ years in analytics engineering, data engineering, or data analysis, with a strong focus on building data pipelines and deriving insights.
  • SQL Mastery: Advanced SQL skills for complex queries and performance optimization on large datasets.
  • ELT/ETL & Orchestration: Experience with tools like Airflow to streamline data workflows.
  • Data Modeling: A solid foundation in data modeling principles to design and optimize models for robust analytics.
  • Problem Solving: A knack for troubleshooting data issues and optimizing data processes.
  • Attention to Detail: A commitment to data accuracy and integrity in every output.
  • Communication: Strong ability to translate complex technical information for diverse audiences.Bonus Skills:
    • Experience with Python, AWS, and SparkSQL
    • Familiarity with Medical Healthcare claims data modelsEqual Employment Opportunity at MachinifyMachinify 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.
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Keywords: Machinify Inc., Tracy , Analytics Engineer, Engineering , Palo Alto, California