Analytics Engineer

Summary

Join Machinify's Data Team as an Analytics Engineer and play a pivotal role in transforming raw data into actionable insights that drive product innovation. You will collaborate with cross-functional teams, building and refining data pipelines using Airflow, ensuring data accuracy and accessibility. Your expertise in data analysis, modeling, and SQL will be crucial in revealing insights on product performance, customer behavior, and financial metrics. This role requires 3+ years of experience in analytics engineering or related fields, advanced SQL skills, and proficiency in ELT/ETL and data modeling. Machinify offers a competitive salary (180-200k range), equity, excellent healthcare, flexible time off, and other benefits.

Requirements

• 3+ years in analytics engineering, data engineering, or data analysis, with a strong focus on building data pipelines and deriving insights
• Advanced SQL skills for complex queries and performance optimization on large datasets
• Experience with tools like Airflow to streamline data workflows
• A solid foundation in data modeling principles to design and optimize models for robust analytics
• A knack for troubleshooting data issues and optimizing data processes
• A commitment to data accuracy and integrity in every output
• Strong ability to translate complex technical information for diverse audiences

Responsibilities

• Dive deep into data to reveal insights on product performance, customer behavior, claims patterns, and key financial metrics
• Develop and refine data models, transformations, and visualizations that fuel decision-making across teams
• Design, build, and maintain scalable, efficient data pipelines using Airflow to keep our data flowing seamlessly
• Partner closely with product managers, data scientists, SMEs, and function to understand data needs, deliver insights, and support product innovation

Preferred Qualifications

• Experience with Python, AWS, and SparkSQL
• Familiarity with Medical Healthcare claims data models

Benefits

• Meaningful equity
• Excellent healthcare
• Flexible time off
• Other benefits and perks