Senior Analyst Market and Customer Analytics
New
Based in the United StatesFull-TimeSenior
Salary100,000 - 110,000 USD per year
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Job Details
- Experience
- 3+ years
- Required Skills
- SQLBusiness AnalysisMicrosoft Power BITableauData scienceMicrosoft Excel
Requirements
- Bachelor’s or Master’s degree in Business Analytics, Data Science, Marketing Analytics, Information Management, or a related field.
- 3+ years of experience in CPG analytics, preferably within client-side or supplier-side environments (nutritional supplements experience is a plus).
- Strong hands-on experience with data visualization and reporting tools such as Power BI or Tableau.
- Advanced proficiency in Excel, including Power Query, and familiarity with SQL or other database querying tools.
- Experience working with syndicated data sources such as Circana, NielsenIQ, SPINS, Stackline, or POS datasets.
- Strong ability to translate complex data into clear, actionable business insights and strategic recommendations.
- Excellent communication and presentation skills with the ability to influence cross-functional stakeholders.
- Highly organized, self-motivated, and able to manage multiple priorities in a fast-paced environment.
- Comfortable working with ambiguity and complex, evolving datasets and business requirements.
- Experience leveraging AI tools to enhance analytics and reporting efficiency is a plus.
Responsibilities
- Design, develop, and maintain scalable dashboards, reports, and analytical tools that deliver accurate and actionable insights to support category and brand growth.
- Translate complex datasets into clear narratives, identifying key trends, risks, and opportunities for business stakeholders.
- Manage data integration and harmonization across multiple sources, including syndicated and internal datasets, to build unified omni-channel reporting structures.
- Execute and improve data governance processes to ensure accuracy, consistency, and reliability across reporting systems and databases.
- Collaborate with Marketing, eCommerce, IT, and external vendors to improve data quality, automation, and reporting efficiency.
- Develop deep category and product hierarchy expertise to ensure correct attribution, reporting integrity, and meaningful business interpretation.
- Support continuous improvement initiatives by enhancing analytics capabilities, streamlining reporting workflows, and adopting automation tools.
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