Data Analyst - Manufacturing Industry

Key Responsibilities

Data Management & Automation

• Architect Automated Workflows: Develop and maintain high-performance dashboards in Power BI and Excel, eliminating manual reporting through robust data pipelines.
• Operational Integrity: Ensure the accuracy and integrity of critical performance reports across regional industrial units and product categories.
• Data Orchestration: Collect and transform raw data from ERP, SCADA systems, and CRM platforms into high-impact actionable insights.

Industrial Business Analytics

• Performance Deep-Dives: Conduct rigorous trend, variance, and root-cause analyses for industrial sales performance, contract pricing, and project-based margins.
• Operational Optimization: Support demand forecasting and supply chain planning by analysing production capacity, metallic yields, and energy consumption patterns.
• Channel Profitability: Provide granular analysis of customer and channel profitability, distinguishing between Direct Industrial Sales, Distributor Networks, and Large-Scale Tenders.
• Product Mix Optimization: Perform price elasticity and product mix analysis to optimize our offerings against fluctuating raw material costs.

Strategic Intelligence

• ROI Pursuit: Partner with Sales and Technical Support teams to evaluate the ROI of commercial campaigns, distributor incentives, and technical field services.
• Predictive modelling: Build models to assess market shifts, competitor capacity moves, and industrial demand cycles before they impact the P&L.
• Asset Utilization: Drive insights into Overall Equipment Effectiveness (OEE) and predictive maintenance schedules to minimize unplanned downtime.

Systems & Tools

• Advanced Visualization: Design sophisticated Power BI environments utilizing Advanced DAX and data modelling to merge disparate sources.
• Deep modelling: Leverage SQL, Python, or R for advanced statistical modelling and complex data cleaning.
• Governance: Maintain strict compliance with data security and organizational governance standards.

Stakeholder Engagement

• Cross-Functional Liaison: Collaborate aggressively across Sales, Finance, Supply Chain, and Plant IT to align data goals with business reality.
• Executive Communication: Present findings to senior management in clear, high-impact visual formats that drive immediate decision-making.
• Mentorship: Lead and guide junior team members in data handling excellence and visualization best practices.

Candidate Profile

• The Mindset: You don't wait for instructions; you find problems and solve them. You thrive in the "grit" of industrial environments.
• Technical Edge: Expert-level Power BI (DAX) and SQL skills are non-negotiable.
• Experience: 3+ years in an analytical role, preferably within a heavy manufacturing or energy-related field.