Data Analyst, Software Engineering Track

AcuityMD is a software and data platform that accelerates access to medical technologies. In this role, you'll investigate customer data inquiries while building a technical foundation for a career in software engineering, with opportunities to transition into Junior Software Engineer roles.

Responsibilities:

• Investigate customer questions about data displayed throughout the AcuityMD platform using SQL
• Research issues end-to-end, identify root causes, and validate findings across multiple data sources
• Distinguish between expected platform behavior, customer education opportunities, and true product defects
• Communicate findings clearly to Customer Success, Support, and customers when appropriate
• Create detailed engineering tickets with reproduction steps, supporting evidence, and root-cause analysis
• Build deep expertise in AcuityMD's data model, business logic, and data pipelines
• Partner closely with Engineering, Product, Customer Success, and Support to improve platform quality and customer trust
• Identify recurring issues and opportunities to improve data quality, tooling, and operational processes
• Help Engineering validate fixes and ensure customer issues are fully resolved
• Expand your technical skills in Python, AI-assisted development, Git, and modern software engineering practices
• Learn how production software is designed, built, tested, and maintained by working alongside experienced software engineers
• Take on increasingly technical projects as your skills grow
• Build the technical foundation needed to transition into a Junior Software Engineer role through demonstrated performance and technical development

Requirements:

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Data Science, or another quantitative discipline (or equivalent practical experience)
• 0–2 years of professional experience. Recent graduates and candidates with relevant internship experience are encouraged to apply
• Experience writing SQL to analyze or investigate data
• Strong analytical and problem-solving skills with the ability to investigate ambiguous questions and identify root causes
• Excellent written and verbal communication skills
• Curiosity, ownership, and a passion for learning new technologies
• Interest in building a long-term career in software engineering
• Comfortable working in a collaborative, fast-paced startup environment
• Experience with Google BigQuery or other modern cloud data warehouses
• Experience writing Python
• Familiarity with AI-assisted development tools such as ChatGPT, Cursor, or GitHub Copilot
• Experience working with large analytical datasets
• Exposure to Git, software development workflows, or programming through internships, coursework, or personal projects