Job Description Key Responsibilities:
• Collect and analyze complex datasets, turning data into meaningful and actionable insights and metrics.
• Use statistical and analytical techniques to find trends, interpret the data and study patterns that help influence business decisions and recommend changes in enterprise operations.
• Perform analysis that helps the company improve efficiency, understand customer requirements, and increase profits.
• Develop processes, tools and checklists to monitor and analyze data model performance and accuracy.
• Deliver analytical insights in a manner that is scalable, repeatable, and automated.
• Work with all Operational functions to identify leading and lagging indicators of operational performance in manufacturing, supply chain, warehousing, planning, and scheduling.
• Develop and publish meaningful metrics and reports that will drive action towards business goals and objectives.
• Participate in presentation of reports to key internal stakeholders, effectively communicating the steps taken to create the output.
• Collaborate with global business teams to understand the problems and design scalable solutions. • Work with Global Technology to ensure that solutions are up to current standards and best practices.
• Stay up-to-date on the latest technologies and build new skills in data engineering, technologies and platforms. Basic Qualifications:
• BS in Engineering, Mathematics, Statistics, Analytics, Economics with 9+ years prior relevant engineering experience OR Advanced Degree in Data Science, Engineering, Mathematics, Statistics with and 4+ years prior relevant engineering experience.
• 4+ years as a Data Analyst, with a strong track record of designing and implementing data analytics solutions.
• Predictive modeling experience.
• Experience with Databricks, Snowflake, MapReduce, Spark or other Big Data platforms
• Experience working in cloud platforms such as AWS and Azure.
• Outstanding written and verbal communication skills in English.
• Exceptional interpersonal skills with the ability to cultivate strong relationships with internal and external stakeholders. Demonstrated experience in fostering collaboration and driving alignment across diverse teams.
• Self-starter with high level of intellectual curiosity.
• Strong analytical and hardworking problem-solving mindset