Assistant Analyst - Quality System Data Management

Eaton; Maharashtra; On-site; INR 800,000 - 1,400,000; Full time

Job summary

Eaton is seeking a skilled Business Intelligence Analyst for its Global Center of Excellence - Quality team in Maharashtra, India. The role focuses on digitalizing quality processes, building data-driven solutions, and delivering insightful reports using Power BI and related tools.

You will collaborate with multiple functions to drive efficiencies, monitor project performance, and ensure data accuracy through cleaning and transformation.

Qualifications

• Bachelor's degree in Computer Science and 2+ years of experience in business reporting or automation projects.
• Hands-on experience with BI tools and data workflows in a manufacturing or related environment.

Responsibilities

• Analyze data from multiple sources to identify trends, patterns and insights for operations.
• Develop digital solutions for manual processes using Power platform, Python, ML and AI.
• Create dashboards and reports to communicate key metrics to stakeholders.
• Collaborate with cross-functional teams to drive digitalization and productivity projects.
• Ensure dashboards refresh correctly and data is transformed and cleaned for accuracy.
• Troubleshoot apps and dashboards and maintain high visual quality standards.

Skills

Power BI

Power Automate

Power Query

Data analysis

Data visualization

Communication

Problem-solving

Cross-functional collaboration

Education

Bachelor's degree in Computer Science

Tools

OBIEE

Cloudera

SQL

DAX

Job description

What You’ll Do

• Seeking a skilled Business Intelligence Analyst to join our Global Center of Excellence - Quality team data analytics team. Reporting directly to the Quality Systems Manager, you will play a vital role digitalizing quality processes improving efficiency and productivity, developing solutions with use of Power platform, ML, Python and AI. You will also prepare and share reports to stakeholders providing data insights. \" List the main functions of the role, being clear and concise (avoid using abbreviations, use short sentences, stress what is unique, emphasize what makes your job and organization special). If this is a re-evaluation of an existing role, highlight the job responsibilities that are new to the role.\"
• Conduct in-depth analysis of data from various sources to identify trends, patterns, and insights that drive operational efficiencies and strategic decision-making.
• Develop digital solution for ESA business for manual processes using Power platform tools, Python, ML & AI
• Work collaboratively with cross functional teams and drive digitalization and productivity projects.
• Assist with design and generating reports, dashboards, and visualizations using Microsoft 365 digital tools (Power BI, PowerApps, Power Automate, etc.) to communicate key metrics and performance indicators to stakeholders across the organization.
• Monitor and analyze the performance of digitalization projects, providing regular updates and recommendations for optimization to the Business Intelligence and Analytics Manager.
• Work for all the suggested enhancements in current applications and dashboards.
• Ensure all the existing dashboards are live and refreshed correctly.
• Ensure that the data is correct by transforming and cleaning data.
• Troubleshoot and rectify Apps and dashboards whenever required.
• Dashboards should be of a high visual quality (using standards for spacing, fonts, margins, colour pallet, flow, ordering).
• Generate standards or custom reports summarizing business, financials, or economic data for review by executives, managers, clients, and other stakeholders

Qualifications

• Bachelor's degree in Computer Science\" 3-5 years of handson experience in similar areas. \"
• Minimum 2 years of experience in business reporting and Automation projects

Skills

• Power BI, Power Automate, Power Query,
• Proven experience as a Business Intelligence Analyst or similar role within a manufacturing or related industry.
• Knowledge of different types of Databases (Relational, Graphic…)

Good knowledge of Python, Machine learning and AI agents

• Data Manipulation skills, working with large datasets, Data Modeling
• Experience within large data environments (Cloudera, OBIEE, etc)
• Proficiency in data analysis, data visualization, and reporting using tools such as Power BI, PowerApps
• Technical skills in DAX, SQL

Good Presentation skills

• Problem-solving skills and the ability to translate complex data into actionable insights.
• Strong communication skills to effectively collaborate with cross-functional teams and present findings to non-technical stakeholders.
• Able to deal with complexity.
• Prior experience in a global organization and knowledge of manufacturing processes is a plus.
• To be able to deal with uncertainty and to bring clarity and definition.
• Willingness to take on challenges.