Supply Chain Data Analyst

Schneider Electric has an exciting opening for a Supply Chain Data Analyst in based in Nashville, TN.

Discover the opportunity to join an international, dynamic, and responsible company that fosters the development of all its people around the world.

Every day, we empower employees to achieve more and experience exciting careers.

This Supply Chain Data Analyst position will be specializing in designing and delivering business intelligence solutions, encompassing ETL (Extract, Transform, Load) processes, data visualization, and data analysis.

You will collaborate with cross-functional teams, including IT, Finance, and business stakeholders, to understand requirements, design scalable and efficient solutions, and ensure the availability of insightful visualizations and reports.

Your expertise will be crucial in driving data-driven decision-making and empowering the organization with actionable insights.

Succeeding in this role will require creativity and the ability to work autonomously to analyze supply chain data and produce business intelligence dashboards.

Your primary focus will be to solve challenging operational problem trough the implementation of data products using classification models, time series analysis and computer vision techniques in some cases.

You will be responsible for leveraging data-driven insights to optimize and drive efficiency in NAM Supply chain planning processes.

Responsibilities


* Perform exploratory data analysis to identify patterns, trends, and potential problems.


* Utilize Databricks for big data processing and analytics.


* Extract and manipulate data from multiple source systems using SQL, Python, and Spark.


* Develop and maintain business data objects and visualizations to support decision-making processes.


* Develop and apply statistical and machine learning models to predict, classify or segment data.


* Acquire, clean, and transform data from various sources to ensure quality and consistency


* Optimize models to improve their performance and relevance in the business context.

• Collaborate with cross functional teams to understand the problems and objectives that can be addressed with data analytics.


* Web Systems Analysis, Design and Development, BackEnd / FrontEnd.


* Assess user experience base on UX/UI.


* identify system and workflow requirements, create software specifications from a business perspective

Requirements:


* Strong experience in developing and deploying classification models time series models.


* Proficient in Python, SQL, and Apache Spark.


* Experience with Databricks and Tableau.


* Strong understanding of statistical modeling, machine learning, data analysis, and exploratory data techniques.


* Experience working with large-scale datasets and implementing data preprocessing and feature engineering techniques.


* Strong problem-solving skills and ability to translate business requirements into actionabl...