Aftermarket Business Data Analyst

Analyze large and complex datasets to identify trends, risks, opportunities, and root causes impacting business performance Develop and maintain Power BI dashboards, reports, and visualizations that enable data-driven decision-making across the organization Partner with stakeholders to gather requirements, define business needs, and translate those needs into scalable analytics solutions Serve as a bridge between business and technical teams, ensuring alignment on requirements, capabilities, and project objectives Build data models, predictive analytics, and forecasting tools to improve planning and operational effectiveness Write and optimize SQL queries and leverage Python or other analytical tools to automate reporting and perform advanced analyses Support inventory optimization, fill-rate performance, supply-demand balancing, and forecasting initiatives Present findings and recommendations to audiences ranging from operational teams to senior leadership Lead and contribute to cross-functional projects focused on process improvement, business intelligence, and operational excellence Requirements Bachelor's degree in Computer Science, Statistics, Data Analytics, or a related field with 5+ years of relevant experience OR Master's degree in a related field with 3+ years of relevant experience Experience with Power BI, DAX, Power Query, Plotly, Python, SQL, Snowflake, or

SAP HANA

Knowledge of supply chain planning, demand forecasting, inventory optimization, and service operations Experience in high-mix, low-volume manufacturing environments Understanding of MRP processes, BOM structures, FRU planning, and aftermarket operations Experience building predictive models and advanced analytical frameworks Strong proficiency in data analysis, visualization, and reporting tools Advanced analytical and problem-solving skills Excellent communication and stakeholder management abilities Demonstrated success leading or supporting cross-functional business initiatives Core Competencies Demonstrates expertise in data analysis, predictive modeling, and visualization using tools like Power BI and SQL. Proven ability to translate business needs into scalable analytics solutions while effectively communicating findings to diverse stakeholders. Highest-signal resume keywords Power BI Development SQL Query Optimization Predictive Analytics Data Visualization Stakeholder Management ATS Optimization Keywords Hard Skills Data Analysis Predictive Modeling DAX Power Query Python Snowflake SAP HANA Forecasting Inventory Optimization Business Intelligence Soft Skills Communication Problem-Solving Collaboration Leadership Stakeholder Engagement Industry Keywords Supply Chain Planning Demand Forecasting MRP Processes BOM Structures Aftermarket Operations Tools & Technologies Power BI SQL Python Plotly Snowflake

SAP HANA

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