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Data Analyst; Nutricia + Kate Farms

Remote / Online - Candidates ideally in
City of White Plains, White Plains, Westchester County, New York, 10601, USA
Listing for: Danone
Full Time, Remote/Work from Home position
Listed on 2026-10-19
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 76000 - 133000 USD Yearly USD 76000.00 133000.00 YEAR
Job Description & How to Apply Below
About the Job

Job Summary

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. You will help make data accessible, consistent, and easier to use across the organization.

Key Responsibilities

As a key member of our team, you will play an important role in driving our mission forward. The following responsibilities outline the core expectations and contributions for this position:

  • 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.
  • 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.
Physical Demands & Work Environment
  • This role is primarily performed in a remote office setting and requires the ability to remain in a stationary position (e.g., seated or standing) for extended periods.
  • The employee may be required to travel to Danone corporate offices as needed.

The salary range for this position is $76,K USD. The exact salary offered will depend on several factors, including the candidate’s relevant experience, geographic location, internal equity, and market conditions. Danone USA additionally offers a performance-based bonus and has a strong benefits package including Medical, Dental, Vision, Prescription Drug Coverage, 401k Plan, Wellness Program, Life Insurance, Tuition Reimbursement, Flexible Time Off, and Paid Parental Bonding Leave, among other benefit plan options.

To give our employees flexibility, Danone is a hybrid work environment.

About You

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:

Education & Experience:
  • 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.
Knowledge, Skills & Abilities:
  • Strong SQL skills,…
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