Data Analyst (Nutricia + Kate Farms)

Danone•White Plains, NY

9d•Hybrid

About The Position

The Data Analyst on the Enterprise Data Intelligence team turns data from across North America Medical Nutrition into trusted, actionable insights. The role partners with Commercial, Supply Chain, Finance, Marketing, Patient Services, and Medical/Regulatory teams to build reporting, analyze performance, and answer business questions that shape decisions. It helps make data accessible, consistent, and easier to use across the organization. The position develops and maintains dashboards and reports, analyzes multi-source datasets, translates business questions into analytical requirements, and communicates findings to technical and non-technical audiences. It also writes and optimizes SQL queries, works with data engineering and stewardship partners to improve pipelines, models, and data quality, and supports governance and responsible handling of sensitive information. The role supports ad hoc and executive requests, reporting automation, documentation, and continuous improvement. The role is primarily performed in a remote office setting, with travel to Danone corporate offices as needed. Danone describes its work environment as hybrid. The salary range is $76,000–$133,000 USD, with the exact offer dependent on relevant experience, geographic location, internal equity, and market conditions. Danone USA also offers a performance-based bonus and benefits including medical, dental, vision, prescription drug coverage, a 401(k) plan, wellness program, life insurance, tuition reimbursement, flexible time off, and paid parental bonding leave, among other plan options.

Requirements

Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Business Analytics, Information Systems, or a related field, or equivalent experience.
2–4 years of experience in a data analyst, business intelligence, or analytics role.
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.
Demonstrates curiosity and ownership, business partnership, collaboration, clear communication, and integrity with data.

Nice To Haves

Experience in healthcare, pharmaceutical, medical nutrition, consumer packaged goods, or another regulated industry.
Experience with healthcare or commercial data sources, such as claims, syndicated data, CRM, specialty pharmacy, or distributor data.
Working knowledge of Python or R for analysis and automation.
Understanding of data modeling, ETL/ELT concepts, and data governance.
Advanced Excel skills.

Responsibilities

Develop, maintain, and enhance dashboards and reports in tools such as Power BI or Tableau to provide 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.
Translate business questions into clear analytical requirements and communicate findings in concise, non-technical language.
Write and optimize SQL queries to extract, transform, and validate data from enterprise data platforms such as Snowflake or Databricks.
Partner with data engineers and data stewards to improve data pipelines, data models, and data quality.
Perform data validation, reconciliation, and root-cause analysis to improve accuracy and consistency across reports.
Support data governance practices, including metric definitions, documentation, data lineage, and a single source of truth for key performance indicators.
Handle sensitive data responsibly and follow applicable privacy, security, and compliance requirements.
Support ad hoc analysis and executive requests, prioritizing work based on business impact and urgency.
Identify opportunities to automate manual reporting and contribute to team documentation, best practices, and continuous improvement.