Business Intelligence Architect at Schneider Electric USA, Inc. in FRANKLIN, Tennessee

Job Description:

Schneider Electric USA, Inc. seeks a Business Intelligence Architect in Franklin, TN.

Job Description: Create innovative and engaging business intelligence solutions using visualization tools like Tableau. Create data extracts and build data models using databases such as SQL Server, MySQL, Oracle, Redshift etc. and ETL tools such as Alteryx, SnapLogic, SSIS etc. Use advanced modeling techniques, AI, NLP (Python, R) and Cloud Computing to Predict outcomes and recommend actions to sales leadership. Build machine learning models using Python/Amazon SageMaker for Auto-Forecasting Order dollars for various Business segments in Schneider Electric. Perform Data cleansing, Exploration and Feature Engineering connecting to data in Redshift. Lead generation by processing the documents using Image recognition/NLP capabilities from AWS. Identify, design and implement internal process improvements: automate manual processes and optimize data delivery. Work with stakeholders to understand business challenges and translate data into insights. Resolve complex issues by applying analytical skills, knowledge and creativity. Lead an advanced analytics group to deliver fact-based and future-oriented insights for improving sales. Build a long-term roadmap for advanced analytics and help grow competency throughout the team. Eligible for 100% remote work, reporting to company management in Franklin, TN.

Requirements: Position requires a Master’s or Bachelor’s degree, or foreign equivalent, in Information Systems, Data Analytics, Computer Science, Engineering, Information Science or a related field, and progressive, post-Bachelor’s experience (2 years with Master’s or 4 years with Bachelor’s) in sales data analytics or related occupation. At least some experience in the following skills: Utilizing Tableau, Salesforce Lightning, Einstein Analytics platform to build visualizations; Utilizing SQL, Redshift, Oracle to build, store and query datasets for analysis/visualizations; Utilizing R, Python for data preprocessing, feature selection and machine learning model building; Utilizing SSIS, Databricks to extract, transform and load data for analytics; and Utilizing Big data and cloud computing technologies like AWS, Databricks, Spark etc. for solving complex data problems.

EOE.

To Apply: Visit http://careers.se.com and search Req#67185