Business Data Analyst
Koch Industries
Business Data Analyst
Koch Engineered Solutions (KES) in Wichita, KS, is seeking a curious and driven Business Data Analyst to join our Information Technology (IT) team in Wichita, KS or Tulsa, OK. In this role, you'll work with business and IT partners to turn data into meaningful insights, dashboards, and reporting that support operational and strategic decisions across our Equipment, Technology, and Services (ET&S) business. You'll gain hands-on experience solving business problems, improving data quality, and helping drive profitable transformation. Visa sponsorship is not available.
The Data & Information Technology team is collaboratively focused on transforming business data into trusted, actionable information that enables effective decisions across Koch Engineered Solutions. Our team brings together data analysts, business data specialists, and data governance to partner closely with stakeholders to improve data quality, streamline decision making, and support digital transformation initiatives. We thrive on solving complex business challenges, driving continuous improvement, and creating practical solutions that help our organization work smarter. Above all, we value teamwork, curiosity, and commitment to delivering reliable data that drives long-term business value.
Partner with stakeholders to identify opportunities and develop data-driven solutions that create long-term business value.
Apply business acumen, analytical thinking, and technology capabilities to identify opportunities that drive innovation and competitive advantage.
Translate complex business challenges into scalable data, analytics, and technology solutions that enable better decision-making and outcomes.
Collaborate across business and technical teams to design solutions that improve performance, unlock value, and advance strategic objectives.
Work closely with solutions delivery leads, data engineers, developers, architects, analysts, product owners, and IT partners throughout the delivery lifecycle.
Support solution design, validation, testing, deployment, change management, and continuous improvement activities.
Serve as a trusted advisor, connecting people, processes, data, and technology to create lasting value.
Professional or educational experience working with data and analytics
Experience presenting data, analysis, or recommendations through coursework, internships, projects, or professional experience
Experience working with data in Excel (formulas, pivot tables, data manipulation)
Demonstrated problem-solving and analytical skills
Bachelor's degree in Business, Analytics, Data Science, Information Systems, or a related field
Experience using GenAI to create work efficiencies
Exposure to data visualization tools such as Power BI, Tableau, or similar platforms
Understanding of business concepts or business operations
Familiarity with SQL, Python, or other analytics tools
Demonstrated economic thinking or ability to connect analysis to business value
Experience with project management, Agile concepts, or cross-functional project work
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