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Strong Tier-1 employer and generalist data-analyst title increase competition.
Core analytical skills are transferable, though product-marketing and industry specifics moderate fit.
No explicit years but mandatory SQL/Python and BI skills create moderate filters.
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Lead data analysis and KPI tracking for product lifecycle management across business units using Salesforce (SFDC) and SAP data.
Develop and maintain dashboards, templates, and automated workflows to support pricing initiatives and competitive intelligence.
Collaborate with product management, sales, and operations teams to recommend improvements based on data trends and proxy performance.
Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field.
Proven experience in data analysis, business intelligence, or related roles.
Proficiency with data analysis tools and programming languages (SQL, Python, R).
Experience with data visualization tools is a plus; knowledge of machine learning is desirable.
Experienced operating in cross-functional teams involving product management, commercial operations, and supply chain in a B2B or industrial environment.
Comfortable with multi-source data integration (e.g., SFDC, SAP) and creating tools for pricing and competitive analysis.
Able to manage analytics projects supporting product lifecycle and pricing strategy with emphasis on driving actionable insights and operational improvements.