Rockwell Automation – Data Analyst

Job Description

Rockwell Automation is hiring for the role of Data Analyst, offering an excellent opportunity for experienced professionals passionate about data analytics, business intelligence, enterprise reporting, and digital transformation. As a global technology leader focused on industrial automation and smart manufacturing solutions, Rockwell Automation empowers businesses worldwide to become more productive, sustainable, and agile through innovative technology and data-driven decision-making. This role is ideal for professionals who enjoy working with business stakeholders, enterprise systems, and analytics platforms to design scalable solutions that support strategic business objectives. Candidates joining this role will work in a collaborative environment where data, technology, and business processes intersect to drive operational excellence and enterprise innovation.

The Data Analyst role involves gathering, analyzing, and translating complex business requirements into technical and functional specifications that enable the development of effective analytics and reporting solutions. Professionals in this position will collaborate with business teams, enterprise architects, data engineers, and technical stakeholders to build scalable data models, improve governance processes, and ensure data quality across enterprise systems. The role also focuses on leading planning and prioritization sessions, supporting analytics initiatives, and contributing to long-term digital transformation strategies. Candidates will gain exposure to modern analytics technologies such as Power BI, Azure SQL Data Warehouse, Python, Azure Data Factory, and enterprise data platforms while working on large-scale business intelligence and analytics projects.

This opportunity at Rockwell Automation is highly suitable for professionals looking to strengthen their expertise in data analytics, enterprise architecture, cloud data engineering, and business intelligence solutions. Employees will work on impactful projects that support manufacturing, finance, and operational systems while contributing to data-driven innovation initiatives across the organization. The company promotes collaboration, innovation, continuous learning, and professional growth, making it an ideal workplace for experienced data professionals seeking long-term career advancement in analytics, cloud technologies, and enterprise data management.

Roles & Responsibilities

• Collaborate with business stakeholders and technology teams to gather, analyze, and validate business, technical, and data requirements for enterprise analytics projects.
• Translate high-level business requirements into clear technical specifications, functional requirements, and scalable data models for development and implementation teams.
• Lead Program Increment planning sessions with stakeholders to identify short-term priorities while ensuring alignment with long-term strategic business goals.
• Ensure data quality, governance, accuracy, and consistency by supporting metadata management, validation processes, and data approval workflows.
• Work closely with data engineers and analytics teams to guide implementation activities, resolve production issues, and improve reporting and analytics solutions.
• Partner with enterprise architects to design and maintain scalable data models aligned with organizational data architecture and governance standards.
• Utilize analytics and visualization tools such as Power BI to create dashboards, prototypes, reports, and business intelligence solutions that support decision-making.
• Analyze business processes and identify opportunities to improve operational efficiency, reporting accuracy, and enterprise data accessibility.
• Support cross-functional collaboration by mapping team dependencies, coordinating analytics initiatives, and ensuring smooth project execution.
• Participate in troubleshooting, production support, and issue resolution activities related to analytics systems, enterprise data platforms, and reporting environments.
• Work with cloud-based analytics technologies and enterprise systems to support digital transformation and data-driven innovation initiatives.
• Maintain detailed documentation of business requirements, data models, workflows, governance standards, and reporting processes for project transparency and compliance.

Requirements & Eligibility

• Candidates must possess a Bachelor’s degree in Computer Science, Management Information Systems, Information Technology, Data Analytics, or a related technical field.
• Applicants should have 5–7+ years of relevant professional experience working as a Data Analyst, Business Intelligence Analyst, or Analytics Consultant.
• Strong experience translating business requirements into technical specifications, data models, and analytics solutions is essential for this role.
• Hands-on expertise in analytics and business intelligence tools such as Power BI, Azure SQL Data Warehouse, Azure Analysis Services, and Python is highly preferred.
• Familiarity with data engineering technologies including Azure Data Factory (ADF), Azure Data Lake Storage Gen2 (ADLS G2), and enterprise data platforms is beneficial.
• Candidates should possess strong analytical thinking and problem-solving skills to evaluate business processes and design effective data-driven solutions.
• Understanding of system engineering principles, object-oriented design, information security standards, and enterprise architecture practices is important.
• Experience with enterprise systems such as SAP ECC, CRM platforms, Hybris, Hyperion, or Enterprise Planning Management tools will provide an added advantage.
• Good understanding of finance processes including General Ledger, Cost Center Accounting, Profitability Analysis, and enterprise reporting concepts is desirable.
• Excellent verbal and written communication skills are required for stakeholder management, requirement discussions, technical documentation, and cross-functional collaboration.

Expected Salary

The expected salary for the Rockwell Automation Data Analyst role in Pune generally ranges between ₹12 LPA to ₹22 LPA depending on professional experience, technical expertise, domain knowledge, and proficiency in analytics platforms and cloud technologies. Candidates with strong Power BI, Azure, SAP, and enterprise analytics experience may receive higher compensation packages.

In addition to competitive salaries, Rockwell Automation offers hybrid work flexibility, career development opportunities, enterprise-scale project exposure, learning programs, and the chance to work on innovative digital transformation initiatives that impact global manufacturing and industrial operations.

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