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Business Data Analyst

Emerson

Salary not specified
Oct 27, 2025
Marshalltown, IA, United States of America
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Emerson is looking to solve business challenges by leveraging data analytics to provide high-impact business solutions, shape business strategies and decisions, and optimize operations.

Requirements

  • Build SQL queries and algorithms to mine data for hidden patterns and predictive insights
  • Create compelling interactive reports, dashboards, and visualizations using Power BI, Excel, Python, etc.
  • Develop statistical models forecasting, classification, and optimization
  • Leverage Intelligent Automation tools, including but not limited to: Robocorp, Python, Power BI, Power Query, Power Automate, Power Apps and Noetix
  • Knowledge of programming languages like SQL, R, Python
  • Ability to balance various responsibilities and meet deadlines efficiently
  • Knowledge of how to create and apply the most accurate algorithms to datasets

Responsibilities

  • Collect, clean, categorize, and analyze large, complex datasets from multiple sources
  • Build SQL queries and algorithms to mine data for hidden patterns and predictive insights
  • Create compelling interactive reports, dashboards, and visualizations using Power BI, Excel, Python, etc.
  • Develop statistical models forecasting, classification, and optimization
  • Continuously monitor and enhance analytical solutions for accuracy and performance
  • Leverage Intelligent Automation tools, including but not limited to: Robocorp, Python, Power BI, Power Query, Power Automate, Power Apps and Noetix
  • Design, develop and implement custom solutions for the automation of existing or new processes

Other

  • Support Flow Controls North America internal customers to provide insights which will enable data-driven decision-making
  • Develop understanding of business systems, processes, and business goals & objectives
  • Communicate insights through clear data storytelling to influence decisions
  • Collaborate with team members to provide effective solutions for our data needs
  • Demonstrate commitment to providing superior service levels