Job description

You will transform complex datasets into business insights with creativity, technical skill, and strategic focus. You will craft sophisticated models and interactive visualizations to drive informed decision-making. You will partner with cross-functional stakeholders to understand their requirements, apply analytics to uncover insights, and build automation that improves team efficiency. You will communicate findings in relatable terms to senior leadership, highlighting business impact and guiding strategic choices, and navigate ambiguity in a fast-paced, dynamic environment. Bachelor's degree in Supply Chain, Business Analytics, Data Science, Computer Science, Mathematics/Statistics, Engineering, Business, Finance, Economics, or a related field. 3 or more years of experience in advanced analytics or relevant operations, with a track record of solving complex business problems with data. Proficient in analyzing large, complex datasets from multiple sources using SQL/Python for data wrangling, cleansing, and transformation. A keen eye for design and proven ability to tell compelling stories using data visualization tools such as ThoughtSpot, Tableau, or Power BI. Strong curiosity for understanding business needs and translating them into tangible analytical outputs, with a foundational understanding of AI/ML concepts to help guide the development of innovative, technology-driven solutions. MBA or advanced degree preferred. Proven data-driven decision-making skills, with the ability to influence peers and gain acceptance of others in sensitive situations. Extensive experience in reporting, data mining, and ad hoc analytics tools, adept at working with large quantities of data from a variety of sources; advanced Excel skills including macros. Ability to articulate complex AI/ML concepts in business terms, tell a story that highlights key insights, and present analysis effectively to senior leadership. Aptitude to synthesize quantitative and qualitative signals, rapidly understand complex business processes, and think strategically to execute operational strategies that produce measurable improvement. Demonstrated collaboration, leadership, and influencing skills, with comfort operating in a fast-paced, highly matrixed environment; process improvement experience such as Six Sigma or BPI is a plus. Core functional skills in Operations, Supply Chain, Logistics, and Supply/Demand Planning.

Requirements

Must-haves

Bachelor's degree in Supply Chain, Business Analytics, Data Science, Computer Science, Mathematics/Statistics, Engineering, Business, Finance, Economics, or a related field.
3 or more years of experience in advanced analytics or relevant operations, with a track record of solving complex business problems with data.
Proficient in analyzing large, complex datasets from multiple sources using SQL/Python for data wrangling, cleansing, and transformation.
A keen eye for design and proven ability to tell compelling stories using data visualization tools such as ThoughtSpot, Tableau, or Power BI.
Proven data-driven decision-making skills, with the ability to influence peers and gain acceptance of others in sensitive situations.
Extensive experience in reporting, data mining, and ad hoc analytics tools, adept at working with large quantities of data from a variety of sources; advanced Excel skills including macros.
Ability to articulate complex AI/ML concepts in business terms, tell a story that highlights key insights, and present analysis effectively to senior leadership.
Aptitude to synthesize quantitative and qualitative signals, rapidly understand complex business processes, and think strategically to execute operational strategies that produce measurable improvement.
Core functional skills in Operations, Supply Chain, Logistics, and Supply/Demand Planning.

Nice-to-haves

MBA or advanced degree preferred.
Demonstrated collaboration, leadership, and influencing skills, with comfort operating in a fast-paced, highly matrixed environment; process improvement experience such as Six Sigma or BPI is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythonaiml

Platform: apple
Effort: medium