Graduate Engineer Trainee

About the Role

Serve as the single point of contact and trusted partner for business data, reporting, analytics, and decision support across Ingersoll Rand India’s Compressor Division. This role will integrate internal performance data with customer, channel, installed base, market, competition, and macroeconomic intelligence to provide one reliable view of the business and convert insights into measurable action.

Key Responsibilities

• Business Performance & Executive Reporting: Own standardized dashboards, scorecards, and business-review packs covering orders, revenue, backlog, pipeline, price, margin, working capital, inventory, delivery, service, and key operational KPIs.
• Commercial & Growth Analytics: Analyze performance by customer, region, channel, industry, product, and salesperson. Strengthen pipeline governance, conversion, win-loss insights, territory productivity, pricing discipline, and forecast accuracy.
• Service, Aftermarket & Installed Base: Develop visibility of equipment installed base, contract coverage, parts potential, warranty conversion, renewal, churn, replacement cycles, and customer lifetime value to identify the next best opportunity.
• Market & Competitive Intelligence: Track competitor activity, imports, sector investments, customer projects, industrial corridors, and macroeconomic indicators. Translate external developments into zone-wise and industry-wise growth actions.
• Product, Pricing & Profitability: Provide price-volume-mix, discount, margin-leakage, product profitability, and portfolio insights to support pricing, localization, launches, and resource allocation.
• Operations & Supply Chain Analytics: Connect demand forecasts with production, procurement, and inventory. Identify delivery, capacity, material, supplier, quality, and working-capital risks through exception-based reporting.
• Data Governance & Quality: Maintain KPI definitions, data ownership, validation rules, and reporting calendars. Reconcile information across ERP, CRM, finance, service, and operating systems and eliminate conflicting reports.
• Automation, AI & Self-Service: Automate recurring workflows and develop secure, intuitive solutions using Power BI, SQL, Python, Power Query, Power Automate, and approved AI tools. Ensure outputs are traceable, validated, and responsibly used.

Requirements & Tech Stack

• Experience in business analytics, BI, commercial excellence, management reporting, or decision support.
• Experience in compressors, industrial equipment, capital goods, manufacturing, industrial services, or B2B environments preferred.
• Proficiency with Power BI, SQL, Python, Power Query, Power Automate, and approved AI tools.

Qualifications

• Bachelor’s degree in engineering, statistics, mathematics, economics, computer science, analytics, finance, or a related discipline.

Success Measures

• RELIABILITY: Critical KPIs have approved definitions and owners; high reconciliation accuracy; fewer conflicting reports and aged data issues.
• EFFICIENCY: On-time reporting; automation of recurring outputs; significant reduction in manual preparation and duplicated reports.
• ADOPTION: Leadership and functions consistently use standardized dashboards; strong active-user levels and stakeholder satisfaction.
• BUSINESS IMPACT: Better forecast accuracy, pipeline conversion, and pricing visibility; quantified service, margin, inventory, or working-capital opportunities realized.
• CAPABILITY: Higher self-service adoption, improved source-data ownership, and fewer routine manual data requests.