Data Analyst (Nutricia + Kate Farms)

Role Overview

The Data Analyst on the Enterprise Data Intelligence team turns data from across North America Medical Nutrition into trusted, actionable insights. In this role, you will partner with Commercial, Supply Chain, Finance, Marketing, Patient Services, and Medical/Regulatory teams to build reporting, analyze performance, and answer business questions that shape decisions.

What You Will Do

Develop, maintain, and enhance dashboards and reports in tools such as Power BI or Tableau, giving stakeholders clear visibility into sales, demand, patient and channel trends, and operational performance. Analyze large, multi-source datasets, including sales, claims, syndicated, CRM, supply chain, and patient services data, to identify trends, drivers, risks, and opportunities.

Why It Might Be a Fit

The ideal candidate will bring a combination of education, experience, and skills that enable them to excel in this position. The following qualifications outline what we’re looking for, including both required and preferred criteria: Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Business Analytics, Information Systems, or related field/equivalent experience. 2–4 years of experience in a data analyst, business intelligence, or analytics role.

Requirements

• Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Business Analytics, Information Systems, or related field/equivalent experience.
• 2–4 years of experience in a data analyst, business intelligence, or analytics role.
• Experience in healthcare, pharmaceutical, medical nutrition, consumer packaged goods, or another regulated industry is preferred.
• Experience with healthcare or commercial data sources, such as claims, syndicated data, CRM, specialty pharmacy, or distributor data, is preferred.
• Strong SQL skills, including joins, window functions, data validation, and query optimization.
• Hands-on experience with a business intelligence or visualization tool such as Power BI or Tableau.
• Experience with cloud data platforms such as Snowflake, Databricks, or a comparable platform.
• Strong analytical and problem-solving skills with close attention to detail.
• Ability to explain complex findings clearly to technical and non-technical audiences.
• Ability to manage multiple priorities and work effectively with cross-functional partners.
• Working knowledge of Python or R for analysis and automation is preferred.
• Understanding data modeling, ETL/ELT concepts, data governance, and advanced Excel is preferred.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Prescription Drug Coverage
• 401k Plan
• Wellness Program
• Life Insurance
• Tuition Reimbursement
• Flexible Time Off
• Paid Parental Bonding Leave

Tagged as: Data Analysis