Senior Business Analyst

Flowserve; Santiago de Querétaro; Presencial; MXN 400.000 - 650.000; Jornada completa

Descripción de la vacante

Flowserve is seeking a Senior Business Analyst with strong English proficiency to support the Pumps & Seals Aftermarket group. You will analyze complex data, build forecasts, and deliver insights to senior leadership across a global organization.

You will partner with commercial, operations, supply chain, and finance teams to improve forecasting accuracy, reporting capabilities, and commercial performance. This is a highly visible role influencing decisions at the highest levels.

Formación

• Bachelor’s degree in a related field.
• 5+ years in business analysis or analytics roles.
• Advanced Excel skills with data modeling and forecasting.
• Experience with ERP platforms (SAP, Oracle, BPC).
• Proven ability to create reports, dashboards, and KPIs.

Responsabilidades

• Analyze large datasets to identify trends, risks, and performance drivers.
• Develop sales, demand, and production forecasts for global aftermarket.
• Create executive reports, dashboards, and KPI analyses for leadership.
• Translate requirements into analytical solutions to improve visibility.
• Collaborate with commercial, operations, supply chain, and finance teams.

Conocimientos

Advanced Excel

Forecasting & analytics

Data modeling

Stakeholder management

Educación

Bachelor's degree in Business, Finance, Economics, Analytics, Engineering, or Supply Chain

Herramientas

SAP

Oracle

BPC

Power BI

SQL

Python

Descripción del empleo

We are seeking a Senior Business Analyst with ENGLISH PROFICIENCY to support the global Pumps & Seals Aftermarket business and partner closely with senior commercial operations leadership. This highly visible individual contributor role will analyze complex business data, develop sales, demand, and production forecasts, deliver actionable insights, and support strategic decision-making across a global organization. The ideal candidate combines strong business acumen, advanced analytical capabilities, and experience working with ERP, business intelligence, and reporting systems to improve forecasting accuracy, identify business opportunities and risks, enhance reporting capabilities, and drive commercial performance and operational excellence. This role offers the opportunity to influence key decisions at the highest levels of the organization while collaborating with commercial, operations, supply chain, and finance teams worldwide.Key ResponsibilitiesBusiness Analytics & InsightsAnalyze 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.Translate business requirements into analytical solutions that improve visibility, decision-making, and performance.Continuous ImprovementIdentify 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.Forecasting & PlanningDevelop, 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.Data Management & ReportingExtract, 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.Required QualificationsBachelor’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.Preferred QualificationsExperience 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.Technical SkillsAdvanced Microsoft ExcelERP Systems (SAP, Oracle, BPC, or equivalent)Power BI and Business Intelligence Reporting ToolsSQL and Database QueryingData Validation, Cleansing, and Quality ManagementSales, Demand, and Production ForecastingKPI Development and Performance AnalyticsData Visualization and Executive ReportingPython (Preferred)Statistical Analysis and Forecasting TechniquesEnterprise Data Management and Reporting ProcessesThis role is ideal for a strategic, data-driven analyst who thrives in a fast-paced global environment and enjoys transforming complex data into actionable business insights that drive growth, improve forecasting accuracy, and support executive decision-making.