Business Planning and Intelligence Manager
Job in
California, Moniteau County, Missouri, 65018, USA
Listed on 2026-09-04
Listing for:
Jobtailor
Full Time
position Listed on 2026-09-04
Job specializations:
-
IT/Tech
Business Intelligence, Data Analyst, Business Systems & Technology Analysis -
Business
Business Intelligence, Data Analyst, Business Systems & Technology Analysis
Job Description & How to Apply Below
- Lead business planning, forecasting, budgeting, and performance tracking across key strategic initiatives
- Design, develop, and maintain executive dashboards, KPI scorecards, and self-service business intelligence solutions using Power BI
- Define, standardize, and monitor business metrics aligned with strategic and financial objectives
- Translate business requirements into data models, reporting frameworks, and scalable BI solutions
- Analyze financial and operational performance to identify risks, opportunities, trends, and growth drivers
- Develop business cases, scenario models, and investment analyses to support strategic decisions
- Partner with Finance, Product, Sales, Marketing, Operations, and Data Engineering teams to align priorities and execution
- Conduct trend analysis, forecasting, root-cause analysis, and performance diagnostics to generate actionable recommendations
- Validate data quality and ensure consistency, accuracy, and governance across reporting solutions
- Develop executive-ready presentations and communicate complex insights clearly to senior leadership
- Improve reporting processes through automation, data integration, and scalable analytical solutions
- Support annual operating plans, long-term strategic planning, and quarterly business reviews
- Manage multiple strategic initiatives while ensuring timely, high-quality deliverables
- Master’s degree in Business, Finance, Economics, Engineering, Analytics, Information Systems, or a related field
- Five or more years of experience in business planning, business intelligence, strategy, business analytics, or a related discipline
- Strong experience in performance management, forecasting, budgeting, and financial modeling
- Advanced proficiency in Power BI, including dashboard development, data modeling, DAX, visualization, and report optimization
- Strong SQL skills, with experience extracting, integrating, validating, and analyzing data from multiple sources
- Experience developing executive dashboards, automated reporting solutions, and self-service BI capabilities
- Ability to translate business requirements and complex data into clear recommendations
- Strong analytical, problem-solving, and strategic-thinking capabilities
- Excellent written, verbal, and executive presentation skills
- Ability to influence cross-functional stakeholders and manage competing priorities in a fast-paced environment
- Familiarity with Databricks, cloud analytics platforms, data warehouses, and enterprise data ecosystems
- Understanding of data architecture, ETL processes, semantic models, and data-governance principles
- Experience with statistical analysis, predictive modeling, or scenario planning
- Knowledge of Agile project-management methodologies
Demonstrates expertise in business planning, forecasting, and performance management, with advanced proficiency in Power BI and SQL for data analysis and reporting. Capable of translating complex business requirements into actionable insights and executive-ready presentations while managing cross-functional stakeholder relationships.
Highest-signal resume keywords- Business Planning
- Power BI Dashboard Development
- SQL Data Analysis
- Performance Management
- Financial Modeling
- Business Planning
- Forecasting
- Budgeting
- Financial Modeling
- Data Analysis
- Performance Management
- DAX
- Data Integration
- Statistical Analysis
- Predictive Modeling
- Analytical Skills
- Problem-Solving
- Strategic Thinking
- Communication Skills
- Influencing Stakeholders
- Business Intelligence
- Data Governance
- Agile Project Management
- Executive Presentations
- KPI Scorecards
- Power BI
- Databricks
- Cloud Analytics Platforms
- Data Warehouses
- ETL Processes
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