Data Analyst, Software Engineering Track

Responsibilities

Customer Data Investigation

• 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.

Platform & Product Improvement

• 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.

Software Engineering Track

• 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.

Nice-to-Haves

• 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.

Compensation & Benefits

• Base salary range: $80,000–$100,000 USD.
• Competitive equity.
• Remote Work: full-remote flexibility for employees in the US with a work-from-home stipend.
• Flexible PTO.
• 100% paid health, dental, and vision plans for employees (75% for dependents).
• Home Office Stipend: $1,000 plus Wi-Fi reimbursement.
• Learning Budget for professional development.
• Optional Team Retreats.
• Parental Leave: 8–16 weeks fully paid.