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Schneider Electric is hiring for an FRESHER entry level Data Operations Analyst role in India




Position:

  • Data Operations Analyst

Company:

  • Schneider Electric

Location:

  • Gurgaon, Haryana, India

Job type:

  • Full Time

Job mode:

  • Hybrid

Job requisition id:

  • 107340

Years of experience:

  • 0 to 3 years


Company description

  • Schneider Electric is a multinational company known for its focus on energy management, industrial automation, and digital transformation solutions. The organization works toward building systems and technologies that help businesses and communities manage electricity and operational processes in a smarter and more efficient way. Through its products, software platforms, and consulting services, the company supports customers who want to improve productivity, reduce energy consumption, and move toward more sustainable operations.

  • The company has built a strong global presence with employees working across more than one hundred countries. This wide geographical reach allows Schneider Electric to support clients in multiple industries, including manufacturing, utilities, infrastructure, data centers, buildings, and residential energy systems. With thousands of professionals across engineering, analytics, operations, and consulting roles, the organization focuses on solving energy and automation challenges for modern enterprises.

  • Schneider Electric operates at the intersection of electrification, automation, and digital innovation. Its technology solutions range from basic electrical components to advanced industrial systems and digital monitoring platforms. These tools enable organizations to track energy usage, automate processes, and manage resources more efficiently.

  • The company places strong emphasis on sustainability and responsible energy usage. Many of its solutions are designed to help businesses reduce environmental impact while improving operational performance. Schneider Electric partners with organizations worldwide to help them manage energy consumption, monitor sustainability metrics, and implement strategies that support long term environmental goals.

  • Within Schneider Electric, the Energy and Sustainability Services division plays a major role in advising organizations on how to optimize energy usage and improve operational efficiency. This division includes thousands of professionals who help companies monitor their energy data, analyze consumption patterns, manage utility operations, and create strategies that support sustainability initiatives.

  • The organization also promotes a workplace culture centered on collaboration, learning, and inclusion. Employees are encouraged to work together across functions and regions while contributing ideas that improve systems and processes. Schneider Electric values transparency, innovation, and teamwork, creating an environment where individuals can grow professionally while contributing to global energy solutions.


Profile overview

  • The Data Operations Analyst position within the APAC Data Operations team focuses on supporting the management and processing of large volumes of operational and energy related data for clients located across multiple regions. The role involves working with internal teams and external partners to ensure that important data related to energy usage, invoices, and operational records is collected, organized, and maintained accurately.

  • Individuals in this position contribute to the execution of data operations programs that help clients manage their energy consumption and utility related activities more effectively. By maintaining accurate records and ensuring the smooth flow of data across systems, the analyst helps organizations make better decisions related to energy procurement, operational efficiency, and sustainability strategies.

  • The role requires strong coordination skills because the analyst works with multiple teams across different countries and time zones. These teams may include internal operations staff, external data providers, and partners responsible for delivering information related to client utilities and financial transactions.

  • Data Operations Analysts help ensure that invoices, contracts, and other financial records are properly processed so that clients can track payments and manage their accounts without disruptions. If issues arise in the data flow or processing systems, the analyst is responsible for identifying the root cause and working with relevant teams to resolve the problem.

  • A significant part of the role involves maintaining organized records and monitoring large data streams that may come from different sources across global markets. The analyst tracks various types of information, including invoices, energy consumption records, and contractual documents for multiple clients operating in many countries.

  • This role also provides an opportunity to learn about global energy markets and the operational systems used by Schneider Electric. By working closely with experienced professionals in the energy and sustainability domain, the analyst gains exposure to how energy data is collected, processed, and used to support business decisions.

  • The position is well suited for individuals who enjoy working with data, solving operational issues, and collaborating with teams across different functions. Attention to detail, analytical thinking, and the ability to manage multiple tasks at the same time are essential traits for success in this role.


Key responsibilities

Data operations management

  • Oversee various internal data processes that support Schneider Electric’s operational systems and client services.

  • Ensure that information entering internal systems is accurate, organized, and aligned with established data management practices.

  • Monitor the flow of operational data across systems and identify potential inconsistencies or missing records.

  • Support internal teams by maintaining structured data repositories that allow smooth access to required information.

  • Ensure that key operational data is recorded correctly so that clients and internal stakeholders can rely on the information for decision making.

Invoice management and financial data coordination

  • Manage the processing and tracking of client utility invoices within Schneider Electric’s internal systems.

  • Ensure that invoices are received, recorded, and stored properly to support accurate financial operations.

  • Coordinate with relevant teams to ensure that invoice related issues do not delay payments or disrupt financial reporting processes.

  • Identify discrepancies in invoice records and work with internal or external teams to correct them promptly.

  • Help ensure that all financial data related to energy consumption and utility services remains consistent and properly documented.

Communication with external data partners

  • Collaborate with third party data providers and external partners responsible for delivering operational data.

  • Communicate with these partners when data feeds experience disruptions or inaccuracies.

  • Work together with external stakeholders to resolve data issues and ensure continuous information flow.

  • Maintain professional communication channels that support efficient coordination between Schneider Electric and partner organizations.

Data issue identification and resolution

  • Review incoming data sets to identify inconsistencies, missing entries, or formatting errors that may affect system accuracy.

  • Investigate the source of data issues by analyzing internal processes and external data feeds.

  • Coordinate with technical teams or data providers to correct the identified issues.

  • Follow through until the issue is resolved and the data flow returns to normal operations.

  • Document the resolution process so that similar problems can be handled more efficiently in the future.

Client data organization and tracking

  • Organize important client related information such as invoices, contracts, and accounting records.

  • Track numerous data streams associated with clients operating in different countries and regions.

  • Maintain structured records that allow teams to easily access client information when needed.

  • Ensure that documentation related to each client remains complete and up to date.

Exposure to global energy markets

  • Develop familiarity with energy related operations in both domestic and international markets.

  • Understand how energy consumption data, utility billing, and operational metrics are tracked across different regions.

  • Learn about Schneider Electric’s internal systems used to monitor and manage energy related information.

  • Gain knowledge about how energy management strategies are implemented for global clients.

Team collaboration and operational support

  • Support other members of the data team by assisting with operational tasks and system management activities.

  • Participate in team discussions and contribute ideas that improve operational efficiency.

  • Help maintain high standards for data management and process adherence across the organization.

  • Assist with additional responsibilities assigned by supervisors as part of ongoing operational projects.

Compliance with company processes

  • Follow Schneider Electric’s established data management procedures and operational guidelines.

  • Ensure that all work activities align with internal compliance policies and data governance practices.

  • Maintain confidentiality and integrity while handling sensitive client information.


Qualifications

  • Candidates are expected to possess a bachelor’s degree or equivalent educational background that demonstrates their ability to handle analytical and operational tasks. Academic exposure to data analysis, information management, business operations, or similar areas can help individuals succeed in this position.

  • Strong familiarity with computer applications is required, especially within the Microsoft Office suite. Proficiency in tools such as Microsoft Excel is particularly useful for organizing data, performing calculations, analyzing information, and maintaining structured datasets.

  • Attention to detail is a critical quality for this role. Data Operations Analysts must be able to review large volumes of information and identify inconsistencies or errors that could impact operational accuracy. Individuals who naturally pay close attention to details and maintain organized workflows are well suited for this position.

  • Analytical thinking and problem solving skills are also important. The role often involves investigating data issues, understanding how different systems interact, and determining the best way to resolve operational challenges.

  • Candidates should demonstrate strong organizational abilities. Managing multiple streams of data, coordinating with different teams, and tracking operational tasks requires the ability to prioritize responsibilities and maintain structured processes.

  • Communication skills play an important role in this position because analysts regularly interact with colleagues, clients, and external data providers. The ability to explain issues clearly, share updates effectively, and maintain professional relationships is essential.

  • Customer service awareness is another useful quality. Since the role indirectly supports clients who rely on Schneider Electric’s energy management services, analysts must ensure that operational processes run smoothly and that client needs are addressed efficiently.

  • Teamwork is a key expectation within Schneider Electric’s work culture. Candidates should be comfortable collaborating with colleagues across departments and regions while contributing positively to team goals.

  • Initiative and adaptability are valued qualities as well. The operational environment may involve changing priorities or new systems, so individuals should be comfortable adjusting their approach and learning new processes when needed.

  • Candidates should also demonstrate the ability to follow tasks through to completion. Many responsibilities involve identifying issues and continuing to work on them until a satisfactory resolution is achieved.


Additional info

  • In addition to the essential qualifications, knowledge of additional languages may be considered beneficial, especially in a global organization where teams collaborate across multiple regions and cultures. Language skills can help improve communication with international stakeholders and clients.

  • Basic familiarity with programming concepts may also be helpful for individuals interested in working with data. Knowledge of programming languages or database technologies such as Python, T SQL, MySQL, or PHP can provide an advantage when dealing with data processing tasks or technical troubleshooting.

  • Schneider Electric encourages employees to bring curiosity and creativity to their roles. Individuals are encouraged to challenge existing processes when they identify opportunities for improvement and contribute ideas that enhance efficiency or data accuracy.

  • The company promotes a culture of transparency and open communication. Employees are encouraged to share feedback, collaborate with colleagues, and maintain professional integrity in their daily work.

  • Schneider Electric places strong emphasis on diversity and inclusion in the workplace. The organization welcomes employees from different backgrounds and experiences, recognizing that varied perspectives contribute to stronger teams and better solutions.

  • The company also focuses on ethical conduct and responsible business practices. Employees are expected to adhere to high standards of professionalism and maintain trust with clients, colleagues, and partners.

  • Schneider Electric’s commitment to sustainability extends beyond its products and services. The organization encourages employees to participate in initiatives that promote environmental responsibility and efficient energy usage.

  • Professionals joining the company have the opportunity to work with global teams, learn about international energy markets, and develop skills that support long term career growth in data operations, analytics, and sustainability related fields.

  • Employees also benefit from being part of a company that invests in innovation and digital transformation. Exposure to advanced technologies and operational systems can help individuals expand their knowledge and build valuable expertise in the growing field of energy data management.


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