Senior Data Analyst — IVF Data & BI

CooperSurgical; Naperville (IL); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical coverage

401(k) plan

Parental leave

Fertility benefits

Paid time off

Job summary

CooperSurgical is a leading fertility and women’s healthcare company seeking a Sr. Data Analyst/Data Engineer to own data integrity, usability, and structure across implementations and ongoing reporting.

You will lead efforts to improve data quality, efficiency, and customer outcomes related to data. Responsibilities include building data pipelines, validating Lua outputs, and delivering reproducible reports for IVF centers and product teams, while collaborating on new features and dashboards.

Qualifications

• Advanced proficiency in SQL, Python, and Lua.
• 5+ years of experience in a Data Engineering or Analyst role.
• Bachelor’s degree in computer science, MIS, or a related technical field.
• Experience with ETL, data modeling, and large data warehouses.

Responsibilities

• Analyze and convert datasets (CSV, JSON, XML, Excel) into Lua tables or scripts.
• Validate and test Lua output for ingestion into the SaaS platform.
• Provide reports and analysis to help answer business questions for IVF centers and product team.
• Collaborate with product team to identify data-driven features for IVF centers.
• Serve as Python SME for the Data team.
• Design, build, and maintain automated data pipelines and scalable reporting workflows.
• Create intuitive BI dashboards as the source of truth for the organization.
• Conduct deep-dive analyses and predictive modeling to drive decisions.

Skills

SQL

Python

Lua

Data validation

BI dashboards

Data analysis

Data warehousing

Communication

Education

Bachelor’s degree in computer science or MIS

Tools

Tableau

Power BI

Job description

CooperSurgical is a leading fertility and women’s healthcare company seeking a Sr. Data Analyst/Data Engineer to own data integrity, usability, and structure across implementations and ongoing reporting.

You will lead efforts to improve data quality, efficiency, and customer outcomes related to data. Responsibilities include building data pipelines, validating Lua outputs, and delivering reproducible reports for IVF centers and product teams, while collaborating on new features and dashboards.