Senior UX & Visualization Engineer

📍 Job Overview

Job Title: Senior UX & Visualization Engineer
Company: Eaton Corporation
Location: Pune, Maharashtra, India
Job Type: FULL_TIME
Category: Data & Analytics / Business Intelligence / Operations Technology
Date Posted: October 09, 2025
Experience Level: Mid-Senior Level (approx. 4+ years)
Remote Status: Hybrid

🚀 Role Summary

• This role is pivotal in transforming raw data into actionable insights through advanced Business Intelligence (BI) solutions, focusing on Power BI.
• It involves the end-to-end design and implementation of robust data models and sophisticated DAX measures to meet complex business requirements.
• The position demands a proactive approach to data transformation and cleaning using Power Query, ensuring the highest standards of data quality and accuracy.
• A key aspect is the creation of interactive and visually compelling Power BI reports and dashboards that drive strategic decision-making across various departments.
• This role requires a strong emphasis on performance optimization for large datasets, ensuring efficient data processing and visualization for a wide range of stakeholders.

📝 Enhancement Note: The job title "Senior UX & Visualization Engineer" is somewhat unconventional for the described responsibilities, which are heavily focused on Business Intelligence and Data Analytics within a Power BI context. Typically, such a role would be titled "Senior Business Intelligence Analyst," "Senior Power BI Developer," or "Senior Data Visualization Specialist." The "UX & Visualization" aspect likely refers to the emphasis on user experience in report design and the visual appeal of dashboards, rather than traditional UX research or design. This suggests a focus on making complex data accessible and understandable to non-technical stakeholders.

📈 Primary Responsibilities

• Data Model Design & Implementation: Architect and build scalable data models within Power BI that effectively support reporting and analytical needs, ensuring data integrity and efficient querying.
• Advanced DAX Development: Craft complex DAX (Data Analysis Expressions) measures and calculations to translate intricate business logic and requirements into quantifiable metrics.
• Data Transformation & Cleaning: Utilize Power Query (M language) to extract, transform, and load (ETL) data from various sources, ensuring data accuracy, consistency, and readiness for analysis.
• Interactive Report & Dashboard Creation: Design and develop visually engaging, user-friendly, and interactive reports and dashboards in Power BI that provide clear insights into key business performance indicators (KPIs).
• Performance Optimization: Implement best practices for performance tuning of Power BI reports and underlying data models, focusing on efficient data processing, query optimization, and quick load times for large datasets.
• Stakeholder Collaboration & Requirement Gathering: Partner closely with cross-functional teams, including Marketing, IT, Customer Service, and other business units, to understand their data needs, gather requirements, and deliver tailored BI solutions.
• Best Practice Implementation: Apply leading data visualization principles and techniques to ensure reports and dashboards are accessible, understandable, and actionable for a diverse audience, from executives to end-users.
• Data Quality Assurance: Monitor and maintain data integrity and accuracy within the BI environment, implementing checks and balances to ensure reliable reporting.

📝 Enhancement Note: The core responsibilities clearly align with a Senior Business Intelligence Analyst role, with a strong emphasis on Power BI's technical intricacies (Data Modeling, DAX, Power Query) and the strategic application of data visualization to drive business insights. The mention of "UX & Visualization Engineer" in the title likely emphasizes the importance of user-centric design in reporting, making data accessible and actionable for a broad range of stakeholders.

🎓 Skills & Qualifications

Education:

• A Bachelor's degree in Computer Science, Information Technology, Engineering, Statistics, Mathematics, or a closely related quantitative field is preferred. Advanced degrees in relevant fields may be considered a plus.

Experience:

• Approximately 4+ years of hands-on experience in Business Intelligence development, with a significant focus on Microsoft Power BI.
• Proven track record of designing, developing, and deploying effective BI solutions that have driven business impact.
• Experience working with large and complex datasets.

Required Skills:

• Power BI Expertise: Deep proficiency in Power BI Desktop, including report design, dashboard creation, and understanding of the Power BI service.
• Data Modeling: Strong expertise in designing relational and dimensional data models optimized for Power BI and analytical performance.
• DAX Development: Advanced proficiency in writing complex DAX measures, calculated columns, and calculated tables for sophisticated business logic.
• Power Query (M Language): Extensive experience in data extraction, transformation, and loading (ETL) using Power Query for data cleaning and shaping.
• Performance Optimization: Demonstrated ability to identify and resolve performance bottlenecks in Power BI reports and data models, including query tuning and data refresh optimization.
• SQL Proficiency: Solid understanding and practical experience with SQL for querying and manipulating data from relational databases.
• Data Visualization Best Practices: Knowledge of effective data visualization principles to create clear, concise, and impactful reports and dashboards.
• Collaboration & Communication: Excellent verbal and written communication skills, with the ability to effectively gather requirements from business stakeholders and present technical solutions clearly.

Preferred Skills:

• Database Technologies: Experience with various database systems beyond SQL, such as NoSQL databases.
• Cloud Data Warehousing: Familiarity or experience with cloud data warehousing solutions like Snowflake.
• Data Engineering Concepts: Understanding of data warehousing concepts, ETL pipelines, and data governance.
• Agile Methodologies: Experience working in an Agile development environment.
• Additional BI Tools: Exposure to other BI or data visualization tools (e.g., Tableau, Qlik Sense) can be beneficial.

📝 Enhancement Note: The required skills are heavily technical and specific to Power BI development. The emphasis on "UX & Visualization" in the title suggests that beyond technical proficiency, candidates should also possess an eye for user experience in report design, ensuring that the insights are not only accurate but also easily digestible and actionable by business users. The preferred skills like Snowflake indicate potential future or complementary technology stacks the company uses.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Power BI Project Showcase: A curated selection of Power BI projects demonstrating proficiency in data modeling, DAX complexity, Power Query transformations, and interactive report design.
• Performance Optimization Examples: Case studies or examples within projects that highlight specific challenges encountered in performance tuning and the strategies implemented to achieve significant improvements.
• Data Visualization Design: Visual examples of dashboards and reports that showcase a strong understanding of user experience (UX) principles, clarity, and aesthetic appeal, effectively communicating complex data.
• Business Impact Demonstration: Evidence within portfolio projects that clearly articulates the business problem addressed, the solution provided, and the measurable positive impact (e.g., increased efficiency, cost savings, revenue growth) achieved through the BI solution.

Process Documentation:

• Workflow Design & Optimization: Showcase examples of how you have documented and optimized data pipelines, ETL processes, and reporting workflows to enhance efficiency and reliability.
• Solution Architecture: Provide documentation or descriptions of the architectural design for complex Power BI solutions, including data sources, data models, and report structures.
• Requirement to Solution Mapping: Demonstrate the ability to map business requirements directly to technical specifications and implemented BI features, showing a clear lineage from need to delivered solution.

📝 Enhancement Note: For a role emphasizing "UX & Visualization," a portfolio is crucial. It needs to go beyond just showing functional reports to demonstrating how the candidate considers the end-user experience, data storytelling, and the tangible business outcomes of their work. The inclusion of process documentation examples highlights the need for structured thinking and a systematic approach to BI development.

💵 Compensation & Benefits

Salary Range:

• Based on industry benchmarks for Senior Business Intelligence Analysts/Power BI Developers in Pune, India, with 4+ years of experience, the estimated annual salary range is ₹8,00,000 to ₹15,00,000. This range can vary based on the candidate's specific skills, interview performance, and the final negotiation.

Benefits:

• Health Insurance: Comprehensive medical, dental, and vision insurance coverage for employees and eligible dependents.
• Paid Time Off: Generous vacation days, sick leave, and public holidays, allowing for work-life balance.
• Retirement Savings Plan: Contribution towards a provident fund or similar retirement savings scheme as per Indian regulations.
• Professional Development: Opportunities for training, certifications (e.g., Microsoft Certified: Data Analyst Associate, Power BI Data Analyst), and attendance at industry conferences to enhance skills in Power BI, DAX, and data visualization.
• Hybrid Work Arrangement: Flexibility to work remotely part of the week, balancing office-based collaboration with personal work preferences.
• Performance Bonuses: Potential for performance-based bonuses tied to individual and company achievements.
• Employee Assistance Program (EAP): Confidential counseling and support services for employees facing personal or work-related challenges.

Working Hours:

• Standard working hours are typically 40 hours per week. The role is based in Pune, requiring office presence. A hybrid working model may be available, suggesting a balance between in-office and remote work, potentially with specific days designated for office attendance based on project needs or team collaboration requirements.

📝 Enhancement Note: The salary range is an estimation for a Senior BI role in Pune, India. Actual compensation will depend on Eaton Corporation's specific compensation bands, the candidate's experience, and negotiation. The benefits listed are standard for a large multinational corporation like Eaton, with a focus on employee well-being and professional growth relevant to a technology-focused role.

🎯 Team & Company Context

🏢 Company Culture

Industry: Diversified Industrial Manufacturing and Electrical Equipment. Eaton Corporation is a global power management company, providing energy-efficient solutions that help customers effectively manage electrical, hydraulic, and mechanical power. This context means the operations and data analytics roles are critical for optimizing manufacturing processes, supply chains, product development, and customer service. Company Size: Eaton Corporation is a large, publicly traded company (Fortune 500), employing over 85,000 people globally. This scale implies structured processes, a global presence, and significant investment in technology and talent. Founded: Founded in 1911, Eaton has a long history of innovation and growth, indicating stability, established corporate practices, and a mature approach to business operations.

Team Structure:

• Operations Technology/Analytics Focus: The team likely comprises professionals focused on leveraging data to improve operational efficiency, product performance, and customer satisfaction within the manufacturing and industrial sectors.
• Reporting Hierarchy: As a "Senior" role, this position will likely report to a BI Manager, Analytics Lead, or Operations IT Director, with potential for mentorship of junior analysts.
• Cross-functional Collaboration: Close partnerships are expected with manufacturing operations, engineering, IT infrastructure, supply chain management, sales, and marketing teams to gather data requirements and deploy relevant insights.

Methodology:

• Data-Driven Decision Making: Emphasis on using data analytics and BI tools to inform strategic and operational decisions across the organization.
• Process Improvement: A strong focus on identifying inefficiencies in operations and business processes and leveraging data to propose and implement solutions.
• Technology Integration: Utilizing modern BI platforms and potentially cloud technologies to create integrated data solutions that support business objectives.

Company Website: https://www.eaton.com/

📝 Enhancement Note: Understanding Eaton's core business in power management within industrial sectors is key. This means the BI and analytics efforts will likely be tied to improving manufacturing efficiency, energy management solutions, product reliability, and supply chain logistics. The "UX & Visualization" aspect in the title suggests a push towards making complex industrial data more accessible to operational teams and management.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior-level individual contributor role. It signifies a level of expertise and autonomy where the engineer is expected to lead projects, mentor others, and drive significant improvements in data analysis and visualization capabilities without direct supervision on day-to-day tasks. Reporting Structure: The role will likely report to a manager or director within the IT, Operations, or Data Analytics department. Collaboration will be extensive with various business units, requiring strong stakeholder management skills. Operations Impact: The Senior UX & Visualization Engineer will directly influence operational efficiency, product development insights, sales performance analysis, and strategic decision-making by providing clear, actionable data visualizations and insights. Their work will help identify areas for cost reduction, process optimization, and market opportunity.

Growth Opportunities:

• Technical Specialization: Deepen expertise in Power BI, DAX, advanced data modeling, and potentially explore related Microsoft data stack technologies.
• Leadership Development: Transition into a team lead or management role, overseeing BI projects and mentoring junior analysts.
• Cross-Functional Mobility: Move into roles within specific business units (e.g., Operations Analytics, Supply Chain Analytics) or broader data science/engineering positions.
• Industry Certifications: Pursue advanced Microsoft certifications or specialized data visualization/UX certifications to enhance professional credentials.
• Project Management: Develop skills in managing complex BI implementation projects from inception to delivery.

📝 Enhancement Note: The growth path for a Senior BI professional at a large corporation like Eaton is robust. The emphasis on "UX & Visualization" also opens doors to roles that bridge technical expertise with business communication and user-centric design, potentially leading to product management or strategic consulting roles within the company.

🌐 Work Environment

Office Type: Eaton Corporation is a large, established company, so the office environment in Pune is likely to be a professional corporate setting. This could include open-plan areas for collaboration, dedicated cubicles or offices for focused work, and meeting rooms equipped with technology for presentations and virtual collaboration. Office Location(s): The role is based in Pune, Maharashtra, India. This location is a significant industrial and IT hub, offering accessibility and a pool of skilled talent. Specific office details would need to be confirmed, but it's expected to be a modern facility.

Workspace Context:

• Collaborative Spaces: Access to meeting rooms and common areas designed for team discussions, problem-solving sessions, and cross-functional alignment.
• Technology Infrastructure: A well-equipped workspace with reliable IT infrastructure, including high-speed internet, necessary hardware (e.g., powerful workstations for data analysis), and access to relevant software licenses.
• Team Interaction: Opportunities for regular interaction with the immediate BI/Analytics team and broader IT/Operations departments, fostering knowledge sharing and collaborative project work.

Work Schedule:

• The standard work week is 40 hours. While the role is office-based with hybrid options, the nature of data analysis and project deadlines may occasionally require flexibility. The hybrid arrangement suggests a structured approach to work-from-home days, likely balancing individual focus time with in-office collaboration.

📝 Enhancement Note: The hybrid work model is a key aspect for this role, indicating a modern approach to workplace flexibility within a traditional industrial company. Candidates should be prepared for a structured hybrid schedule, understanding that specific days may be required in the office for collaborative activities.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely conduct an initial phone screen to assess basic qualifications, experience, and cultural fit.
• Technical Assessment: Candidates may be given a technical test or coding challenge focusing on Power BI, DAX, Power Query, and data modeling principles. This could be a take-home assignment or an in-interview exercise.
• Hiring Manager/Team Interviews: In-depth interviews with the hiring manager and potential team members to discuss experience, problem-solving skills, and approach to data visualization and UX.
• Portfolio Review: A dedicated session where candidates present their portfolio, explaining their projects, design choices, technical approaches, and the business impact achieved. This is a critical stage for this role.
• Final Round: Potentially an interview with a senior leader or executive to assess strategic thinking and overall fit within Eaton Corporation.

Portfolio Review Tips:

• Curate Selectively: Choose 3-4 of your strongest, most relevant projects that showcase a range of skills, especially complex DAX, efficient data models, and impactful visualizations.
• Storytelling: For each project, clearly articulate the business problem, your role and approach, the technical solutions you implemented (data modeling, DAX logic, Power Query steps), and the quantifiable business outcomes and insights derived.
• Focus on UX: Highlight how you considered the end-user experience, data clarity, and dashboard interactivity. Explain your design decisions and how they facilitate understanding and action.
• Technical Depth: Be prepared to dive deep into the technical aspects – explain your DAX formulas, data model design choices, and performance optimization techniques.
• Quantify Impact: Whenever possible, use metrics to demonstrate the value of your work. Did your report lead to cost savings? Increased efficiency? Better strategic decisions?
• Visual Presentation: Ensure your portfolio presentation is clean, professional, and visually appealing, mirroring the quality expected in the reports you create.

Challenge Preparation:

• DAX Practice: Brush up on common and complex DAX functions, time intelligence calculations, and iterative functions.
• Data Modeling Concepts: Review star schema, snowflake schema, relationships, and data granularity best practices.
• Power Query Skills: Prepare for scenarios involving complex data cleaning, merging, appending, and transforming data from various sources.
• Visualization Principles: Revisit best practices for dashboard design, chart selection, and conveying insights effectively.
• Behavioral Questions: Prepare for questions about teamwork, problem-solving, handling challenging stakeholders, and managing project priorities.

📝 Enhancement Note: The emphasis on "UX & Visualization" means the portfolio review will likely be more rigorous in evaluating the design and user-centric aspects of the candidate's work, not just the technical execution. Candidates should be prepared to articulate their design philosophy and how they translate complex data into user-friendly interfaces.

🛠 Tools & Technology Stack

Primary Tools:

• Microsoft Power BI: The core tool for data modeling, analysis, report creation, and dashboard development. Proficiency in Power BI Desktop and the Power BI Service is essential.
• Power Query (M Language): The primary tool for data extraction, transformation, and loading (ETL).
• DAX (Data Analysis Expressions): The formula language for Power BI, critical for creating measures and calculated columns.

Analytics & Reporting:

• SQL: Essential for querying and manipulating data from relational databases.
• Data Visualization Libraries/Tools (Potential): While Power BI is primary, familiarity with other visualization concepts or tools might be beneficial for understanding broader principles.

CRM & Automation:

• Data Warehousing Concepts: Understanding of how data is structured and managed in enterprise data warehouses.
• Snowflake (Preferred): Experience with cloud data warehousing platforms like Snowflake would be advantageous, suggesting potential integration patterns or data sources.
• Microsoft Azure/Cloud Platforms (Likely): As a large enterprise, Eaton likely utilizes cloud services, so familiarity with Azure data services (e.g., Azure Data Factory, Azure Synapse Analytics) could be a plus.

📝 Enhancement Note: The technology stack is heavily centered around the Microsoft BI ecosystem. Proficiency in Power BI, DAX, and Power Query is non-negotiable. The preferred mention of Snowflake indicates a potential move towards or integration with cloud-based data warehousing solutions, which is a valuable skill to highlight if present.

👥 Team Culture & Values

Operations Values:

• Data-Driven Excellence: A commitment to leveraging data and analytics to make informed decisions, optimize processes, and drive business performance.
• Innovation & Efficiency: Pursuing innovative solutions and continuous improvement to enhance operational efficiency and deliver value.
• Collaboration & Accountability: Working effectively across teams, taking ownership of responsibilities, and delivering high-quality results.
• Customer Focus: Understanding the needs of both internal and external customers and delivering solutions that meet those needs, even in a B2B industrial context.
• Integrity & Safety: Upholding high ethical standards and prioritizing safety in all operations, reflecting Eaton's core values in the industrial sector.

Collaboration Style:

• Cross-Functional Partnership: Expect a collaborative environment where teamwork with various departments (IT, Operations, Engineering, Sales) is standard practice to gather requirements and deploy solutions.
• Solution-Oriented Approach: A focus on problem-solving and delivering practical, actionable insights rather than just reporting numbers.
• Knowledge Sharing: An environment that encourages sharing best practices, technical learnings, and insights within the BI and analytics community.

📝 Enhancement Note: Eaton's culture, as a large industrial manufacturer, will likely emphasize reliability, efficiency, and a strong adherence to processes. For a BI role, this translates to building robust, dependable data solutions that support operational excellence and strategic growth. The "UX & Visualization" aspect hints at a growing appreciation for making data accessible and user-friendly, bridging the gap between technical operations and business users.

⚡ Challenges & Growth Opportunities

Challenges:

• Data Complexity & Integration: Working with diverse and potentially siloed data sources across a large enterprise, requiring robust ETL and data modeling skills.
• Translating Business Needs: Effectively capturing nuanced business requirements from non-technical stakeholders and translating them into precise BI solutions.
• Performance Tuning Large Datasets: Optimizing Power BI reports and data models to deliver fast and responsive insights from massive amounts of industrial operational data.
• Driving Adoption: Encouraging broader adoption and effective utilization of BI tools and insights across different departments and user levels.
• Staying Current: Keeping pace with the rapid evolution of BI technologies, visualization techniques, and data analytics best practices.

Learning & Development Opportunities:

• Advanced Power BI & DAX Training: Opportunities for specialized training and certifications to deepen expertise in the Microsoft BI stack.
• Cloud Data Platform Exposure: Learning and working with cloud data warehousing solutions like Snowflake or Azure Synapse Analytics.
• Cross-Departmental Projects: Gaining exposure to various business functions within Eaton, understanding their unique data challenges and operational intricacies.
• Mentorship Programs: Access to experienced professionals who can provide guidance on career development, technical skills, and navigating a large corporate environment.
• Industry Conferences: Potential to attend relevant data analytics and visualization conferences to learn about emerging trends and network with peers.

📝 Enhancement Note: The challenges are typical for a Senior BI role in a large, established industrial company. The growth opportunities highlight Eaton's commitment to professional development, especially in areas critical to modern data analytics and operational improvement.

💡 Interview Preparation

Strategy Questions:

• Data Modeling Approach: "Describe your process for designing a Power BI data model for a complex operational dataset. What factors do you consider for performance and scalability?" (Focus on star schema, relationships, data types, and optimization techniques).
• DAX Problem Solving: "Imagine you need to calculate Year-over-Year growth for a specific operational metric, considering potential data sparsity. How would you approach this using DAX, and what potential DAX functions would you use?" (Prepare examples of time intelligence and iterative functions).
• Visualization Design Philosophy: "How do you approach designing a dashboard for executives versus one for operational floor managers? What are the key differences in your UX and visualization strategy?" (Emphasize tailoring to audience, clarity, actionability, and avoiding clutter).

Company & Culture Questions:

• Eaton's Business: "What do you understand about Eaton Corporation's business in the power management sector, and how do you see data analytics contributing to its success?" (Research Eaton's products, markets, and recent news).
• Team Collaboration: "Describe a time you had to collaborate with a challenging stakeholder or a team with diverse technical backgrounds to deliver a BI solution. How did you manage the communication and ensure project success?" (Use the STAR method).
• Impact Measurement: "Can you provide an example of a BI project where your work led to a significant business impact? How did you measure that impact?" (Prepare a case study from your portfolio).

Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, use a clear story arc: Problem -> Your Solution (Technical & Design) -> Results (Quantified Impact).
• Highlight Technical Nuances: Be ready to walk through specific DAX formulas, data model diagrams, and Power Query steps when asked.
• Emphasize UX Decisions: Clearly explain why you chose certain visualizations, layouts, and interactions, linking them back to user needs and clarity.
• Demonstrate Adaptability: Show how you handled unexpected data issues or requirement changes during a project.
• Engage Your Audience: Make the presentation interactive, ask if they have questions, and tailor your explanations to their likely technical understanding.

📝 Enhancement Note: The interview process will heavily scrutinize both technical prowess in Power BI and the ability to translate complex data into user-friendly, impactful visualizations. Candidates should be prepared to articulate their thought process, design rationale, and the business value of their work, not just list technical skills.

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📌 Application Steps

To apply for this Senior UX & Visualization Engineer position:

• Submit Your Application: Navigate to the provided job link on Eaton's careers portal and complete the online application form.
• Tailor Your Resume: Ensure your resume clearly highlights your experience with Power BI, DAX, Power Query, data modeling, performance optimization, and data visualization. Quantify your achievements and use keywords relevant to Business Intelligence and Operations Analytics.
• Prepare Your Portfolio: Compile 3-4 of your most impactful Power BI projects. Focus on showcasing your data modeling skills, complex DAX implementations, effective data transformations, and particularly your talent for creating user-friendly, visually appealing, and insightful reports and dashboards. Be ready to present these projects clearly, detailing the business problem, your solution, and the quantifiable results.
• Research Eaton Corporation: Familiarize yourself with Eaton's business, its products, and its role in the power management industry. Understand how data analytics and visualization can drive value in their specific operational and market contexts.
• Practice Interview Questions: Prepare for technical questions on Power BI, DAX, and data modeling, as well as behavioral questions using the STAR method. Rehearse your portfolio presentation to ensure it is clear, concise, and effectively communicates your skills and impact.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.