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Business Planning and Intelligence Manager

Job in Spring, Harris County, Texas, 77391, USA
Listing for: HP
Full Time position
Listed on 2026-09-14
Job specializations:
  • Business
    Business Intelligence, Data Analyst
  • IT/Tech
    Business Intelligence, Data Analyst
Salary/Wage Range or Industry Benchmark: 105050 - 161800 USD Yearly USD 105050.00 161800.00 YEAR
Job Description & How to Apply Below

Description -

We are seeking a Business Planning and Intelligence Manager to drive business performance through strategic planning, financial analysis, business intelligence, performance management, and data-driven decision-making. This role will partner closely with cross-functional teams to develop business plans, monitor key performance indicators, identify growth opportunities, and deliver executive-level insights that shape strategic priorities.

Description -

We are seeking a Business Planning and Intelligence Manager to drive business performance through strategic planning, financial analysis, business intelligence, performance management, and data-driven decision-making. This role will partner closely with cross-functional teams to develop business plans, monitor key performance indicators, identify growth opportunities, and deliver executive-level insights that shape strategic priorities.

Key Responsibilities
  • 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.
Qualifications And Experience
  • 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.
  • Demonstrated 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.
  • Proven ability to influence cross-functional stakeholders and manage competing priorities in a fast-paced environment.
Preferred Qualifications
  • Experience supporting executive leadership, annual operating plans, and long-term strategic planning.
  • 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…
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