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Business Intelligence Analyst

Job in Kansas City, Jackson County, Missouri, 64101, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-09-15
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Business Systems & Technology Analysis, Data Engineering
Salary/Wage Range or Industry Benchmark: 80000 - 110000 USD Yearly USD 80000.00 110000.00 YEAR
Job Description & How to Apply Below

• Design, build, and maintain automated dashboards, KPI reporting, and forecasting models

• Develop and maintain revenue forecasting models to support the sales team in new business opportunities

• Apply statistical techniques, including multiple regression analysis, to identify performance drivers and improve forecast accuracy

• Develop intuitive visualizations for operational and financial decision-making

• Perform ad hoc reporting submitted through Jira for multiple divisions

• Partner with IT and business teams to integrate data sources and validate outputs

• Automate recurring reporting and forecasting workflows to reduce manual effort

• Provide training and documentation to help users effectively consume insights

Requirements
  • 3+ years of experience in business intelligence, analytics, forecasting, or reporting roles
  • Expert-level Microsoft Excel skills including advanced formulas, Pivot Tables, Power Query, and basic modeling
  • Experience building reports or dashboards in Power BI
  • Strong understanding of data analysis, forecasting concepts, and data visualization best practices
  • Foundational statistics knowledge, including correlation and multiple regression analysis
  • Basic understanding of data structures, tables, and relationships
  • Strong attention to detail and data accuracy
  • Ability to communicate insights clearly to non-technical stakeholders
  • Understanding of how automation and AI can be embedded into analytics and forecasting workflows
  • Working knowledge of Python for data cleaning, automation, statistical analysis, or forecasting workflows
  • Experience using Power Automate to automate workflows, integrate systems, or support low-code solutions
  • Exposure to building low-code or no-code internal tools or lightweight web applications
  • Familiarity with AI-assisted analysis, including how to structure effective AI prompts and questions to support analysis, documentation, and insight generation
  • Basic SQL experience for querying and validating data
  • Experience working with enterprise BI platforms such as Qlik or similar tools

Demonstrates expertise in business intelligence and analytics, with a strong focus on revenue forecasting, data visualization, and automation. Proficient in utilizing advanced Excel functions, Power BI, and Python for data analysis and reporting.

Highest-signal resume keywords
  • Business Intelligence
  • Revenue Forecasting
  • Data Visualization
  • Power BI Reporting
  • Python for Data Analysis
Hard Skills
  • Advanced Microsoft Excel
  • Multiple Regression Analysis
  • Data Analysis
  • Statistical Techniques
  • SQL Querying
  • Power Automate
  • Data Structures
  • KPI Reporting
  • Forecasting Models
  • Ad Hoc Reporting
Soft Skills
  • Attention to Detail
  • Clear Communication
  • Training and Documentation
Industry Keywords
  • Business Intelligence
  • Analytics
  • Forecasting
  • Reporting
  • Data Visualization Best Practices
Tools & Technologies
  • Power BI
  • Jira
  • Qlik
  • Power Query
  • AI-Assisted Analysis
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