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Metro location, broad analytics skillset, and a product-related title increase applicant competition.
Analytics skills (SQL, Python, A/B testing) transfer easily across industries despite logistics domain preference.
Explicit 7+ years and mandatory SQL, Python, and analytics tooling create strict shortlisting filters.
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Develop and implement data-driven solutions and methodologies to address business problems within the product and technology teams.
Conduct deep dive analyses and present insights and recommendations to senior leadership to influence strategic decisions.
Automate reporting and scale data-driven processes while continuously identifying opportunities to improve product performance through measurement and analysis.
Bachelor’s or Master’s degree in Engineering, Computer Science, Math, Statistics, or MBA from a reputed institute.
7+ years of hands-on experience in Product and Business analytics, preferably within the logistics domain.
Expertise in Excel, SQL, Python, and experience with data visualization tools such as Power BI or Tableau.
Strong understanding of A/B testing, statistics, and application of data science algorithms.
Experienced in bridging business context with advanced analytics and data science techniques to impact product strategy and operations.
Demonstrates ability to communicate complex analytical findings effectively to senior leadership and cross-functional teams.
Skilled in developing scalable data processes and solutions, driven by a deep understanding of key business metrics and continuous improvement mindset.