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Global brand, metro location, mid-level generalist analytics role increases applicant density.
Core analytics skills transferable, but syndicated CPG data experience adds industry specificity.
Explicit years requirement plus mandatory R/Python and visualization skills narrows candidate pool.
Build insights and competitive intelligence solutions using large external and internal datasets including syndicated market data and point of sales.
Develop and maintain automated reporting trackers and dashboards meeting SLAs, responding to ad hoc analysis requests, ensuring data quality and validity.
Engage cross-functionally with business teams globally and coordinate with internal analytics and IT for sustainable reporting solutions.
Graduate degree in Engineering, Sciences, Statistics, or MBA.
3-4 years experience in Data Insights or Analytics role with client-facing/stakeholder management experience.
Experience with syndicated market data sources (e.g. Nielsen, Kantar, IRI), Point of Sales data, data transformation tools like R/Python, and visualization tools such as Tableau or DOMO.
Working knowledge of the consumer packaged goods industry.
Analytical problem solver comfortable linking diverse datasets (marketing, finance, digital, product) to business rationale and insights generation.
Experience creating automated insights and competitive intelligence solutions in a fast-evolving business environment.
Demonstrated ability to engage business stakeholders across multiple levels including corporate and regional teams, and collaborate with external data vendors.