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Metro location, generalist analytics title, common Python/BI skills, and investor-backed startup increase competition.
Requires transferable analytics skills plus warehouse/ASRS domain knowledge, moderately industry-specific.
Mandatory Python/Pandas and one year analytics experience create moderate candidate filtering.
Collaborate with pre-sales engineering to analyze warehousing volume and propose optimal ASRS plans during sales.
Perform simulations, bottleneck analyses on operational logs, and develop operational reports for customers.
Improve processes and tools for analytics tasks and communicate findings 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 experience in analytics including analysis, reporting, and presentation.
Around 1 year of data handling experience using Python.
Excellent English verbal and written communication skills.
Demonstrates ability to perform hypothesis-driven analysis and suggest improvements based on data.
Experience working cross-functionally with sales, solutions, engineering, and operations teams in a technology-driven environment.
Comfortable with hands-on data analysis, simulation, and process improvement in a robotics or logistics context.