
Data Analyst (Nutricia + Kate Farms)
WHITE PLAINS, NY · HybridJob$76–133K/yrSeen todaySeen in employer's feed today
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Job overview
The Data Analyst on Danone North America’s Enterprise Data Intelligence team turns North American Medical Nutrition data into actionable insights. The role partners with commercial and operational teams to build reporting, analyze performance, and answer business questions. It also supports data quality, governance, and accessible, consistent data use across the organization.
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Full job description
Data Analyst (Nutricia + Kate Farms)Job LocationsUS-NY-White PlainsID2026-28508Number of People to Hire1Job FamilyInformation TechnologyLevel of ExperienceExperienced ProfessionalsShort Intro and About the JobJob SummaryThe 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 ResponsibilitiesAs 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 $76,000-133,000K 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 YouThe 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, spec
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