Nordson is hiring for an FRESHER entry level Data Analyst I role in India

Position:

• Data Analyst I - AMS

Company:

• Nordson

Location:

• India

Job Type:

• Full Time

Job Mode:

• Remote

Job Requisition ID:

• REQ51702

Years of Experience:

• 0-3 years

Company Description:

• Nordson is a globally recognized organization that develops, manufactures, and markets highly specialized products and systems that play an important role across a wide range of industries.

• Since its establishment in 1954, the company has built a reputation for delivering innovative engineering solutions that support customers operating in packaging, transportation, electronics, healthcare, industrial manufacturing, and several other sectors.

• The organization focuses on creating precision dispensing and processing technologies that help businesses improve efficiency, product quality, and operational performance.

• With operations spanning more than 35 countries, Nordson maintains a strong international presence supported by manufacturing facilities, sales teams, service centers, and technical experts located across different regions of the world.

• The company promotes a culture centered around innovation, accountability, customer focus, teamwork, integrity, and continuous improvement.

• Employees are encouraged to contribute ideas, develop new skills, and participate in initiatives that create measurable business value.

• Nordson invests in technology, digital transformation, and advanced analytics to help its business units make informed decisions and improve organizational effectiveness.

• The company values collaboration across departments and encourages professionals from different backgrounds to work together on solving complex business challenges.

• Through its commitment to operational excellence and customer success, Nordson continues to strengthen its position as a trusted partner for businesses seeking advanced manufacturing and engineering solutions.

• Employees joining Nordson gain exposure to global projects, modern technologies, and opportunities for long term career growth within a multinational environment.

Profile Overview:

• Nordson is seeking a Data Analyst who can transform large and complex datasets into meaningful business insights that support decision making and organizational performance.

• The role involves working with data collected from various systems and business functions, identifying trends, uncovering patterns, and providing actionable recommendations that help stakeholders achieve strategic goals.

• As part of the Data and Analytics ecosystem, the selected candidate will collaborate with business teams, technical experts, analysts, and decision makers across multiple business units.

• The position requires strong expertise in data analysis, reporting, visualization, troubleshooting, and business intelligence development.

• A major responsibility of this role involves designing and maintaining Power BI solutions that provide stakeholders with accurate and timely information.

• The professional will work extensively with Microsoft Azure technologies, cloud based data platforms, and enterprise reporting solutions.

• The role also includes working with Denodo architecture, metadata management, and data virtualization initiatives that support enterprise level reporting and analytics.

• The individual will engage directly with customers and internal stakeholders to understand requirements, translate business needs into analytical solutions, and ensure successful project execution.

• Responsibilities extend beyond reporting and include identifying opportunities for automation, improving data quality, enhancing existing processes, and supporting data driven business strategies.

• This opportunity is ideal for professionals who enjoy solving business problems using technology, analytics, and visualization tools while working in a collaborative global environment.

Key Responsibilities and Duties:

Data Analysis and Business Insights

• Analyze large, complex, and diverse datasets to identify meaningful patterns, trends, anomalies, and business opportunities.

• Transform raw information into actionable insights that support strategic planning and operational improvements.

• Examine structured and semi structured datasets to answer important business questions.

• Apply analytical techniques to identify opportunities for growth, optimization, and performance enhancement.

• Support business leaders by providing data driven recommendations.

• Develop methods for measuring business performance and monitoring progress against organizational goals.

• Interpret quantitative and qualitative information to generate practical business conclusions.

• Create analytical frameworks that help stakeholders make informed decisions.

• Assist in identifying operational bottlenecks and inefficiencies through data analysis.

• Deliver insights that contribute to improved organizational effectiveness.

Power BI Development and Reporting

• Design, develop, and maintain enterprise level Power BI dashboards and reports.

• Create interactive visualizations that simplify complex business information.

• Build reporting solutions that provide accurate, timely, and actionable insights.

• Ensure dashboards align with business objectives and stakeholder expectations.

• Optimize Power BI solutions for performance, scalability, and usability.

• Work with users to gather reporting requirements and convert them into effective visual solutions.

• Develop customized reporting frameworks for different business functions.

• Support continuous improvement of existing reporting assets.

• Maintain documentation related to dashboards and reporting solutions.

• Validate reporting outputs to ensure accuracy and consistency.

Azure Data Platform Integration

• Utilize Microsoft Azure services to support reporting and analytics initiatives.

• Integrate Power BI solutions with Azure SQL Database environments.

• Work with Azure Synapse Analytics to support advanced reporting requirements.

• Leverage Azure Data Lake Storage for data management and analytical processing.

• Support cloud based data architecture initiatives.

• Collaborate with technical teams responsible for Azure infrastructure.

• Ensure efficient movement of data across enterprise platforms.

• Assist in maintaining reliable and scalable data solutions.

• Contribute to cloud data modernization projects.

• Support best practices related to Azure based analytics environments.

Denodo Administration and Configuration

• Develop an understanding of corporate Denodo architecture and related processes.

• Support maintenance activities associated with enterprise Denodo environments.

• Configure Denodo components to support business requirements.

• Create, update, and maintain metadata within Denodo systems.

• Assist in ensuring consistent data delivery across reporting environments.

• Participate in data virtualization initiatives.

• Support integration between Denodo and other enterprise systems.

• Monitor data accessibility and performance within Denodo environments.

• Help maintain governance standards related to data virtualization.

• Contribute to long term improvements in enterprise data architecture.

ServiceNow and Data Initiatives

• Develop and maintain ServiceNow related data assets.

• Support Data and Analytics initiatives utilizing ServiceNow information.

• Evaluate ServiceNow issues and investigate underlying causes.

• Recommend solutions that improve system performance and user experience.

• Collaborate with technical teams to address operational challenges.

• Ensure accurate reporting and monitoring of ServiceNow related data.

• Assist in integrating ServiceNow datasets into reporting solutions.

• Support automation initiatives related to service management data.

Cross Functional Collaboration

• Partner with stakeholders across departments and business units.

• Gather business requirements from technical and non technical audiences.

• Participate in discussions related to strategic business initiatives.

• Provide analytical support to project teams and leadership groups.

• Collaborate with business analysts, data scientists, and other data professionals.

• Present analytical findings to stakeholders at different organizational levels.

• Support decision making through effective communication of insights.

• Contribute to enterprise wide data driven initiatives.

• Build strong working relationships across multiple teams.

• Ensure alignment between analytics activities and business priorities.

Process Improvement and Automation

• Identify opportunities to streamline existing business processes.

• Recommend automation initiatives that reduce manual effort.

• Assess current workflows and suggest improvements.

• Improve reporting efficiency through modern analytical tools.

• Support continuous improvement programs within the organization.

• Develop solutions that increase productivity and operational effectiveness.

• Help standardize analytical processes and methodologies.

• Contribute to initiatives that enhance data quality and reliability.

• Drive efficiency improvements through technology enabled solutions.

• Support long term process optimization efforts.

Troubleshooting and Problem Resolution

• Investigate reporting and system related issues.

• Perform root cause analysis for recurring business and technical challenges.

• Develop solutions that address underlying problems rather than symptoms.

• Support users experiencing reporting or data access issues.

• Collaborate with technical teams to resolve platform related concerns.

• Document findings and recommended corrective actions.

• Monitor implemented solutions to ensure effectiveness.

• Participate in issue resolution discussions with stakeholders.

• Improve system reliability through proactive problem management.

• Ensure business continuity through timely issue resolution.

Qualifications:

• Bachelor’s degree in Computer Science, Mathematics, Business Informatics, Information Technology, Data Analytics, Statistics, or a related discipline.

• Understanding of data analysis methodologies and business intelligence concepts.

• Experience working with large datasets and extracting actionable insights.

• Knowledge of SQL for querying, transforming, and analyzing data.

• Familiarity with NoSQL technologies and modern data platforms.

• Understanding of data warehousing concepts and architecture.

• Knowledge of ETL processes and data integration techniques.

• Experience with Power BI dashboard creation and reporting development.

• Exposure to Microsoft Azure cloud technologies.

• Familiarity with Azure SQL Database environments.

• Understanding of Azure Synapse Analytics.

• Knowledge of Azure Data Lake Storage concepts.

• Experience working with business intelligence tools.

• Ability to create effective visualizations and reports.

• Strong analytical and critical thinking abilities.

• Excellent problem solving skills.

• Ability to work with both quantitative and qualitative data.

• Strong communication and presentation skills.

• Ability to explain analytical findings to business stakeholders.

• Experience working in cross functional teams.

• Ability to prioritize tasks within fast paced environments.

• Strong organizational and time management skills.

• Understanding of enterprise reporting environments.

• Ability to work independently while contributing to team goals.

• Commitment to maintaining data accuracy and integrity.

Preferred Skills and Abilities:

• Experience developing business intelligence solutions.

• Knowledge of Denodo and data virtualization technologies.

• Familiarity with cloud based data warehousing solutions.

• Experience using Tableau for visualization and reporting.

• Knowledge of Looker and related analytics platforms.

• Ability to develop technology driven business strategies.

• Strong business acumen and commercial awareness.

• Experience working on enterprise analytics initiatives.

• Ability to identify opportunities for innovation.

• Strong stakeholder management skills.

• Ability to mentor and guide fellow analysts.

• Experience supporting data science and advanced analytics projects.

• Understanding of predictive analytics concepts.

• Ability to evaluate data quality and reliability.

• Strong attention to detail.

• Ability to translate business needs into technical solutions.

• Experience supporting digital transformation initiatives.

• Knowledge of reporting governance practices.

• Commitment to continuous learning and professional growth.

Additional Info:

• This position is offered as a remote opportunity based in India.

• The role provides exposure to global business operations and enterprise level analytics projects.

• Employees will have opportunities to collaborate with professionals from multiple business units and geographic regions.

• The position combines technical analytics work with business facing responsibilities.

• Candidates will gain experience with modern cloud technologies, reporting platforms, and data virtualization tools.

• The role supports strategic decision making through analytics, reporting, and process improvement initiatives.

• Travel requirements for the position are minimal.

• The work environment emphasizes collaboration, innovation, and continuous improvement.

• Reasonable accommodations may be provided to support individuals with disabilities in performing essential job functions.

• The position requires regular computer usage, communication with stakeholders, and interaction with analytical tools and platforms.

• Employees are expected to maintain high standards of professionalism, accuracy, and accountability.

• The organization encourages learning, career development, and knowledge sharing among team members.

• Successful candidates will have opportunities to contribute to high impact projects that influence business outcomes.

• The role offers exposure to modern business intelligence ecosystems, enterprise data platforms, and large scale analytics initiatives.

• Professionals joining this position will play a meaningful role in supporting Nordson’s ongoing digital transformation and data driven decision making journey.

Please click here to apply.