Senior Business Analyst
Indexed description
Location: Houston, TX (Preferred), hybrid
Key Responsibilities
Business Analytics & Insights
- Analyze large and complex datasets to identify trends, opportunities, risks, and key business performance drivers.
- Develop actionable insights and recommendations that support commercial and operational decision-making.
- Create executive-level reports, dashboards, and KPI analyses for global leadership teams.
Continuous Improvement
- Identify opportunities to improve data quality, reporting capabilities, forecasting techniques, and analytical processes.
- Recommend and implement enhanced analytics, business intelligence, and planning solutions.
- Promote best practices in data analysis, forecasting, reporting, and business performance management.
- Develop, maintain, and continuously improve sales, demand, and production forecasts for the global aftermarket business.
- Monitor forecast accuracy, identify variances, and recommend corrective actions to improve predictability.
- Partner with commercial, operations, supply chain, and finance teams to align forecasting assumptions and business plans.
- Extract, validate, cleanse, normalize, and analyze data from ERP and other enterprise systems.
- Ensure a high level of data accuracy, consistency, integrity, and governance across reporting processes.
- Develop and maintain standardized reporting tools, dashboards, and performance metrics.
- Bachelor’s degree in business, Finance, Economics, Analytics, Engineering, Supply Chain, or a related field.
- 5+ years of experience in business analysis, commercial analytics, sales forecasting, demand planning, financial planning, or a related analytical role.
- Strong experience supporting commercial operations, business planning, and operational decision-making.
- Advanced Excel skills, including data modeling, forecasting, scenario analysis, pivot tables, and complex formulas.
- Experience working with ERP platforms such as SAP, Oracle, BPC, or similar enterprise systems.
- Proven experience developing reports, dashboards, KPIs, and business performance analyses.
- Strong data extraction, validation, cleansing, normalization, and quality management skills.
- Excellent communication, presentation, collaboration, and stakeholder-management capabilities.
- Demonstrated ability to translate complex data into actionable recommendations for senior leadership.
- Experience in industrial manufacturing or related industries.
- Proficiency in SQL and Power BI for data analysis and reporting.
- Knowledge of data integration, enterprise reporting, and data engineering concepts.
- Experience with Python for analytics and process automation.
- Understanding forecasting, predictive analytics, and demand planning.
- Experience supporting global commercial operations and cross-functional teams.
- Proven track record of improving forecasting accuracy, reporting, and analytical processes.
- Advanced Microsoft Excel
- ERP Systems (SAP, Oracle, BPC, or equivalent)
- Power BI and Business Intelligence Reporting Tools
- SQL and Database Querying
- Data Validation, Cleansing, and Quality Management
- Sales, Demand, and Production Forecasting
- KPI Development and Performance Analytics
- Data Visualization and Executive Reporting
- Python (Preferred)
- Statistical Analysis and Forecasting Techniques
- Enterprise Data Management and Reporting Processes
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