Senior Data Analyst

CooperCompanies•Naperville, IL

18d•Onsite

About The Position

CooperSurgical is a leading fertility and women’s healthcare company dedicated to putting time on the side of women, babies, and families at the healthcare moments that matter most in life. As a business unit of CooperCompanies (Nasdaq: COO), we're driven by a unified purpose of helping people experience life’s beautiful moments. Guided by our shared values – dedicated, innovative, friendly, partners, and do the right thing – our offerings support patients throughout their lifetimes, from contraception to fertility and birth solutions, to women’s and family care, and beyond. We currently offer over 600 clinically relevant medical devices to healthcare providers, including testing and treatment options, as well as an innovative suite of assisted reproductive technology and genomic testing solutions. Learn more at www.coopersurgical.com. This role is not eligible for employer-sponsored work authorization now or in the future. Applicants must be authorized to work in the United States on a permanent and ongoing basis without the need for future sponsorship (i.e., H1B, STEM OPT extensions, TN, etc.)

Requirements

Advanced proficiency in SQL, Python, and Lua
High attention to detail, including experience with data validation techniques
Precise and effective communication skills for technical and non-technical audiences
Ability to understand the underlying needs of the business and drive impact in a fast-paced, ambiguous environment
Proficiency in analyzing operational workflows and systems to support data analytics to make strategic recommendations that will lead to both internal and external efficiency
Expert-level SQL skills to extract, manipulate, and query complex datasets and managing large-scale data warehouses.
Mastery with BI tools like such as Tableau, Power BI, or similar to design dashboards and reports.
Advanced proficiency in Python and/or Lua for scripting, and automation.
Deep understanding of data modeling, ETL processes, and database architecture.
5+ years of experience in a Data Engineering or Analyst role
Bachelor's degree in computer science, MIS, or a related technical field

Responsibilities

Own the integrity, usability and structure of customer data throughout the implementation and ongoing reporting.
Lead efforts to create efficiencies, improve quality and customer outcomes related to data.
Analyze and convert datasets (CSV, JSON, XML, Excel) into Lua tables or scripts.
Validate and test Lua output to ensure successful ingestion into the SaaS platform.
Provide clear, reproducible reports and analysis to help answer business questions for IVF centers and our product team.
Collaborate with our product team to identify new application features that help IVF centers better understand their patient data.
Serve as Python Subject Matter Expert for the Data team.
Assist with Implementing quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
Work with business leaders to identify data driven opportunities for improvement.
Participate in client calls, manage expectations, and confidently guide client through data review phase when needed.
Design, build, and maintain automated data pipelines, relational databases, and scalable reporting workflows.
Conduct deep-dive analyses, testing, and predictive modeling to drive product and operational decisions.
Design intuitive, self-serve business intelligence (BI) dashboards to serve as the source of truth for the organization.