Data Analyst I

Candidates typically face a timed online aptitude test followed by a technical interview focused on Excel functions, data validation scenarios, and basic database concepts. The HR round assesses communication skills, cultural fit, and career goals. Overall difficulty is moderate; thorough preparation of Excel use‑cases and clear articulation of analytical thinking greatly improve chances.

Round 1: Online Aptitude Test (quantitative, logical reasoning, English) → Round 2: Technical Interview (Excel, data handling, scenario‑based questions) → Round 3: HR Interview (fitment, communication skills, career aspirations)

Schneider Electric promotes a people‑first culture with a strong emphasis on sustainability, continuous learning, and work‑life balance. Employees enjoy flexible work arrangements, regular skill‑upgradation programs, and clear performance‑linked growth opportunities. The company’s inclusive environment encourages collaboration across geographies and functions.

Any university or college degree (B.Tech, B.Com, B.Sc, BA, etc.) – preferably Finance, Economics or Mathematics. Freshers / junior candidates from the 2026 batch are eligible. Minimum CGPA/percentage not specified; candidates should have no active backlogs. Mandatory fluency in English. Strong knowledge of Microsoft Excel required; MS Access knowledge is a plus. Good analytical, logical reasoning and attention to detail. Ability to work in an international, cross‑functional environment.

Schneider Electric is a global leader in energy management and automation, operating in more than 100 countries. The company’s mission is to make energy safe, reliable, efficient and sustainable for all. In India, Schneider Electric has a strong presence across manufacturing, infrastructure and services, offering a culture that blends innovation with a focus on sustainability. Employees benefit from a collaborative environment, continuous learning programs, and exposure to cutting‑edge technologies that drive the transition to a low‑carbon future. The firm is known for its inclusive policies, robust mentorship, and clear career progression pathways for fresh talent. The Data Analyst I role in Gurgaon is an entry‑level position designed for recent graduates who are comfortable working with large data sets, spreadsheets, and financial documents. As a member of a global billing and contract data team, you will help ensure that invoices are accurate, contractual terms are correctly applied, and billing discrepancies are resolved promptly. The role bridges finance and analytics, requiring strong Excel proficiency, logical reasoning, and clear communication with internal stakeholders and external suppliers. Key Responsibilities: 1. Analyse invoices and billing data to identify errors and discrepancies. 2. Perform invoice audits using advanced Excel functions and internal tools. 3. Communicate with suppliers via phone or email to resolve billing issues. 4. Update and maintain contract‑based calculation sheets in Excel. 5. Generate and distribute regular reports on invoice analysis outcomes. 6. Support contract administration activities, ensuring data integrity. 7. Maintain a dedicated database for contracting and billing information, optionally using MS Access. 8. Collaborate with cross‑functional teams across regions to align on data standards. 9. Ensure high accuracy and quality control in all routine tasks. 10. Assist the manager with ad‑hoc analytical projects as required. Tech Stack: Microsoft Excel (pivot tables, VLOOKUP/XLOOKUP, macros), MS Access (basic queries), PowerPoint for reporting, and email/communication tools. While not a data‑science role, familiarity with data‑cleaning techniques and basic SQL concepts is advantageous. Growth Path: Successful analysts can progress to Senior Data Analyst, Business Analyst, or Finance Operations Manager roles within 2‑3 years, with opportunities to move into global finance, supply‑chain analytics, or product data teams. Schneider Electric encourages certifications in data analytics and finance, providing tuition assistance and internal training. Why Join: The position offers exposure to a multinational environment, hands‑on experience with real‑world financial data, and a clear roadmap for professional growth. Freshers gain mentorship from seasoned analysts, access to Schneider’s learning platforms, and a competitive compensation package that reflects industry standards.