Ingersoll Rand is hiring for an FRESHER entry level Business Analyst (GET) role in India

Position: Graduate Engineer Trainee - Business Analyst

Company: Ingersoll Rand Compressor Systems & Services

Location: Gurugram, Haryana, India

Job type: Full-time

Job mode: On-site

Job requisition id: 20247

Years of experience: 0 Years (Freshers / Graduate Engineer Trainee)

Company Description

• Ingersoll Rand Inc. (NYSE: IR) operates as a leading global provider of mission-critical flow creation and industrial solutions across more than 40 respected brands.

• Driven by an entrepreneurial spirit and a dedicated ownership mindset, the organization is committed to helping make life better for employees, customers, and communities worldwide.

• Customers across diverse sectors lean on the company for its technology-driven excellence, high-reliability equipment, and low-maintenance industrial systems that perform under complex and harsh operating conditions.

• For over 145 years, the organization has consistently designed and delivered technologically advanced air compressors, vacuum systems, flow control equipment, and specialized industrial tools.

• The company employs over 10,000 workforce members globally, ensuring high productivity, deep industry knowledge, and long-term customer partnerships through every stage of planning, installation, and field service.

• Ingersoll Rand fosters an inclusive environment that values workforce diversity reflective of global communities, maintaining equal opportunity standards for all qualified professional applicants regardless of background.

• The organization continues to expand its footprint in manufacturing, digital engineering, and B2B capital goods through sustainable innovations, automated industrial services, and data-driven operational decision-making platforms across its global networks.

Profile Overview

• The Graduate Engineer Trainee - Business Analyst acts as the central single point of contact and trusted data partner for reporting, analytics, and executive decision support across the Compressor Division in India.

• The role integrates internal performance systems with external datasets, including customer analytics, channel partner metrics, installed base tracking, competitive intelligence, and macroeconomic parameters.

• The primary objective is to deliver a reliable, single source of truth across business operations and translate complex operational and financial insights into measurable growth actions.

• The position takes complete ownership of standardized executive dashboards, scorecards, and business-review packs covering orders, revenue metrics, order backlogs, active pipelines, pricing dynamics, margins, working capital, inventory, delivery schedules, and service operations.

• Commercial and growth analytics responsibilities include evaluating multi-dimensional performance across regions, customer segments, distribution channels, product lines, industrial sectors, and sales reps.

• The analyst strengthens pipeline governance, forecast precision, win-loss conversion rates, territory productivity metrics, and discount discipline across commercial teams.

• In service and aftermarket analytics, the role builds comprehensive visibility into the active equipment installed base, warranty conversions, contract coverage rates, replacement lifecycles, churn risks, and customer lifetime value.

• Market and competitive tracking tasks involve monitoring macroeconomic indicators, major industrial project announcements, sector investments, importer activities, and competitor movements across regional zones.

• Product, pricing, and profitability responsibilities focus on evaluating price-volume-mix trends, margin leakage points, discount structures, product line profitability, localization strategies, and resource allocation models.

• Operational and supply chain analytical workflows connect demand forecasting models directly with procurement schedules, production capacities, inventory movements, and supplier delivery risk metrics.

• Data governance duties require establishing strict KPI definitions, validating data cross-references between ERP, CRM, and financial tools, maintaining operational calendars, and eliminating conflicting reporting structures.

• The position actively advances automation and digital capabilities by converting routine manual reporting processes into automated, self-service applications using SQL, Python, Power BI, Power Query, Power Automate, and approved artificial intelligence frameworks.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, Analytics, Statistics, Mathematics, Economics, Finance, or a related quantitative academic discipline.

• Academic coursework or project exposure in business analytics, business intelligence, management reporting, commercial performance, or data-backed decision support systems.

• Strong conceptual understanding of enterprise metrics, commercial operations, pipeline management, and B2B industrial service business models.

• Familiarity with B2B sectors, manufacturing environments, industrial capital goods, fluid management systems, or air compressor products is highly desirable.

• Hands-on foundational proficiency in data analytics languages and scripting tools such as SQL and Python for data querying, transformation, and statistical calculations.

• Technical competence in building automated reports and dynamic visual dashboards using Power BI, Power Query, and Power Automate workflows.

• Strong skills in Microsoft Excel and data manipulation libraries for structured data modeling, trend analysis, and business reporting.

• Understanding of enterprise application software ecosystems including Customer Relationship Management (CRM) platforms, Enterprise Resource Planning (ERP) systems, and financial ledger data structures.

• Analytical mindset with the capability to perform price-volume-mix calculations, margin leakage analysis, discount tracking, and operational KPI modeling.

• Exposure to modern automation concepts, enterprise data governance principles, database schema structures, and responsible artificial intelligence applications.

• Excellent written and verbal communication skills to present quantitative insights clearly to cross-functional leaders and non-technical stakeholders.

• Proven ability to work collaboratively in team environments while displaying strong personal ownership, self-driven learning, detail orientation, and high standards for data accuracy.

Additional Info

• Successful performance in this role is evaluated through measurable success metrics covering data reliability, operational efficiency, system adoption, business impact, and capability development.

• Reliability measures focus on establishing standardized, approved definitions for critical KPIs, ensuring seamless cross-system data reconciliation, and eliminating conflicting metrics.

• Efficiency metrics assess the on-time delivery of scheduled reports, successful automation of recurring analytical tasks, and significant reduction in manual reporting efforts.

• Adoption criteria track the active usage of standardized dashboards, active engagement from leadership, and positive feedback from operational stakeholders across functional business units.

• Business impact measures judge the quality of contributions toward improved forecasting accuracy, higher pipeline conversion, optimized pricing strategies, and identified margin or working capital efficiency opportunities.

• Capability development metrics measure the successful shift of user teams toward self-service analytical models, improved source-data ownership, and a reduction in ad-hoc manual analytical requests.

• The position offers exposure to global B2B industrial engineering practices, cross-functional collaboration across executive management teams, and direct interaction with commercial leadership.

• Candidates gain hands-on experience in managing large-scale industrial data infrastructures, continuous process automation, enterprise-wide analytics implementation, and market intelligence frameworks.

• Ingersoll Rand provides structured training, professional development opportunities, and career advancement pathways designed specifically for Graduate Engineer Trainees.

• The workplace environment emphasizes innovation, customer-centric problem solving, sustainability, equal opportunity practices, and continuous learning in modern analytical technologies.

Please click here to apply.