Business Intelligence Analyst
Listed on 2026-09-15
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IT/Tech
Data Analyst, Business Intelligence, Business Systems & Technology Analysis, Data Engineering
• 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
- 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
- Advanced Microsoft Excel
- Multiple Regression Analysis
- Data Analysis
- Statistical Techniques
- SQL Querying
- Power Automate
- Data Structures
- KPI Reporting
- Forecasting Models
- Ad Hoc Reporting
- Attention to Detail
- Clear Communication
- Training and Documentation
- Business Intelligence
- Analytics
- Forecasting
- Reporting
- Data Visualization Best Practices
- Power BI
- Jira
- Qlik
- Power Query
- AI-Assisted Analysis
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