Supply Chain Data Analyst at Schneider Electric USA, Inc in FRANKLIN, Tennessee

Job Description:

Join Schneider Electric and power your career!

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.

Sr. Data Analyst 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,

• 
  
  • 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 actionable data science solutions.
  
  
  • Excellent communication skills to effectively collaborate with cross-functional teams and present findings to stakeholders.
  
  
  • Programming Language: Python, SQL, Spark. •Platforms: Databricks • Data visualization: Tableau, Business Objects, Power BI.
  
  

You must submit an online application to be considered for any position with us. This position will be posted until filled.

Why us?

At Schneider Electric we're committed to creating a workplace that gives you not just a job but a meaningful purpose in joining our mission to bring energy and efficiency to enable life, progress and sustainability for all.

We believe in e mpowering our team members to reach their full potential, fostering a sense of ownership in their work.

We embrace inclusion as a fundamental value, ensuring that every voice is heard and valued. We value differences, and welcome people from all walks of life. We believe in equal opportunities for everyone, everywhere.

If you want to be part of a company where your contributions truly matter, where you are empowered to make a difference and where inclusivity is valued, we would love to hear from you.

Discover your M eaningful, Inclusive and Empowered career at Schneider Electric.

€34.2bn global revenue
+12% organic growth
135 000+ employees in 100+ countries
#1 on the Global 100 World's most sustainable corporations

You must submit an online application to be considered for any position with us. This position will be posted until filled

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best.

We mirror the diversity of the communities in which we operate and we 'embrace different' as one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. This extends to our Candidates and is embedded in our Hiring Practices.

You can find out more about our commitment to Diversity, Equity and Inclusion here and our DEI Policy here

Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color , gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.Join Schneider Electric and power your career!

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.

Sr. Data Analyst 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,