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Metro location and common analytics/Python+BI skillset increase applicant competition.
Python, Pandas, Excel and BI skills are highly transferable across industries.
Explicit ~1 year requirement plus mandatory Python/Pandas and BI skills enforces moderate filtering.
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Collaborate with pre-sales engineering to analyze warehousing volume and propose optimal ASRS plans during the sales phase.
Conduct simulations, bottleneck analyses using operational logs, and develop operational reports for customers.
Improve processes, tools, and share insights to enhance product development and customer negotiations.
Proficiency in Python (especially Pandas, Matplotlib), Excel (functions, aggregations, charts), and some BI tools.
Approximately 1 year of professional analytics experience including data analysis, reporting, and presentation.
Excellent English verbal and written communication skills.
Work Experience: Around 1 year in analytics or equivalent data handling experience with Python.
Comfortable working cross-functionally with sales, engineering, and operations to drive product accessibility and utility.
Experienced in hypothesis-driven analysis to identify issues and suggest improvements.
Capable of improving processes and tools to support data-driven decision making and customer engagement.