Product Designer - BI

📍 Job Overview

Job Title: Product Designer - BI

Company: KONE

Location: Chennai, India / Pune, India

Job Type: Full time

Category: Business Intelligence / Data Analytics / Product Design

Date Posted: September 10, 2026

Experience Level: 2-5 Years

Remote Status: On-site

🚀 Role Summary

• Designs, conceptualizes, and enhances Business Intelligence (BI) products to foster data-driven decision-making across KONE.

• Collaborates closely with product owners, users, architects, and developers to ensure BI solutions are intuitive, scalable, secure, and aligned with enterprise architecture and governance standards.

• Integrates hands-on development tasks in Microsoft Fabric and Power BI, combining design thinking, data modeling, and iterative solution development.

• Drives the evolution of BI products according to vision and roadmap, enabling informed decision-making through effective BI solutions.

📝 Enhancement Note: This role bridges the gap between user needs and technical BI solutions, requiring a strong understanding of both UX principles and data architecture. The emphasis on "Product Designer" suggests a focus on the end-to-end lifecycle of BI assets, from conceptualization to user adoption and ongoing optimization, rather than purely technical development.

📈 Primary Responsibilities

• Analyze business and user needs, translating them into BI product concepts, functional specifications, and backlog items.

• Design fit-for-purpose and fit-for-use BI solutions considering functional (analytics, usability, accessibility) and non-functional (security, performance, scalability) requirements.

• Design APPs, Reports, and semantic models involving very large datasets, ensuring accuracy, efficiency, and maintainability.

• Create and maintain high-quality technical design documents, including data models, logic descriptions, and architectural diagrams in Confluence & SharePoint.

• Provide clarifications and support to developers, data engineers, and testers during implementation, verification, and validation phases.

• Identify data-quality issues early in the pipeline and escalate appropriately.

• Support Operations teams in managing major incidents and critical issues related to BI product operations.

• Enforce governance policies, data quality practices, and architectural standards for BI solutions.

• Actively support the Product Owner in backlog prioritization and maintaining the BI product roadmap.

• Participate in Scrum or Kanban workflows, ensuring work items are properly captured, documented, and updated in Jira.

• Communicate proactively, raising blockers, risks, and design concerns early to ensure smooth project execution.

📝 Enhancement Note: The responsibilities highlight a hybrid role encompassing product design, solution development, and operational support within the BI domain. The explicit mention of "major incidents" and "governance policies" indicates a need for robust operational awareness and adherence to enterprise standards, typical for roles supporting critical business systems.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Information Technology, or a related field.

Experience: 2-5 years of experience in Business Intelligence, Data Analytics, or a related product design/development role.

Required Skills:

• Strong grasp of UX principles in BI design and delivery, ensuring intuitive and user-friendly interfaces.

• Hands-on experience with Microsoft Power BI and Microsoft Fabric for data visualization and analytics.

• Proficiency with Data Build Tool (DBT) for data transformation and modeling.

• Advanced proficiency in scripting languages: SQL for data querying, DAX for Power BI calculations, and Power Query for data transformation.

• Experience with Python for data analysis and scripting, particularly in BI contexts.

• Familiarity with modern data architectural principles and best practices.

• Proficiency with version control systems, specifically GitHub, for code management and collaboration.

• Strong analytical and problem-solving skills to diagnose issues and design effective solutions.

• Excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.

• Outstanding emotional intelligence skills, with the ability to motivate teams, remove impediments, build excellent collaboration, and foster a psychologically safe environment.

• Experience working in virtual matrix teams. Preferred Skills:

• Familiarity with Agile development methodologies (Scrum, Kanban).

• Experience with documentation tools like Confluence and SharePoint.

• Experience with project management/issue tracking tools like Jira.

• Knowledge of AI-assisted capabilities to improve productivity in BI solution development and delivery.

• Preferred Certifications: PL-300: Microsoft Power BI Data Analyst, DP-600: Microsoft Fabric Analytics Engineer, DP-605: Develop Reports with Power BI.

📝 Enhancement Note: The emphasis on specific certifications (PL-300, DP-600, DP-605) and a broad range of technical skills (SQL, DAX, Python, Power BI, Fabric, DBT) indicates a preference for candidates with validated expertise in Microsoft's BI ecosystem. The "2-5 years" experience level suggests a mid-level role where foundational knowledge is expected, but deep expertise in all areas might be developed on the job.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate a portfolio showcasing BI product design projects, including mockups, wireframes, and user flow diagrams.

• Present case studies of BI solutions designed, highlighting the problem statement, design process, implemented features, and user impact.

• Include examples of data models designed for large datasets, detailing the logic, relationships, and optimization strategies employed.

• Showcase experience with iterative design and development, illustrating how feedback was incorporated into product enhancements.

• Provide evidence of collaboration with stakeholders, demonstrating how user needs were translated into functional BI outputs. Process Documentation:

• Showcase experience in creating and maintaining technical design documents for BI solutions, including data models and architectural diagrams.

• Provide examples of how data quality issues were identified, documented, and resolved within a BI development lifecycle.

• Illustrate the process of supporting developers and testers, ensuring smooth implementation and verification of BI products.

• Demonstrate familiarity with documenting workflows and logic descriptions within tools like Confluence and SharePoint.

• Present examples of how BI solutions were monitored and optimized for performance, scalability, and security.

📝 Enhancement Note: For a Product Designer role, a portfolio is crucial. The requirements emphasize not just the final output but also the process behind it, including user collaboration, iterative design, and technical documentation. This suggests KONE values candidates who can articulate their design thinking and demonstrate a structured approach to BI development.

💵 Compensation & Benefits

Salary Range:

Based on the location (Chennai/Pune, India), experience level (2-5 years), and the specialized skill set required (Microsoft Power BI, Fabric, DBT, SQL, DAX, Python), a competitive salary range for a Product Designer - BI would typically fall between ₹8,00,000 to ₹15,00,000 per annum. This estimate is derived from industry benchmarks for similar roles in India, considering the demand for skilled BI professionals and the specific technical proficiencies required by KONE.

Benefits:

• Career development opportunities, including training and potential for advancement within KONE's technology and innovation units.

• Support for personal goal achievement, aligning professional growth with individual aspirations.

• Provision for a healthy and balanced life, reflecting KONE's commitment to employee well-being.

• Access to KONE's global network and innovative projects in the elevator and escalator industry.

• Opportunity to work with cutting-edge technologies in BI, AI, and automation.

Working Hours: 40 hours per week, typically aligning with standard business hours in India, with potential for flexibility as needed for project delivery and incident management.

📝 Enhancement Note: The salary range is an estimate based on industry data for similar roles in India. Actual compensation will depend on the candidate's specific experience, qualifications, and negotiation. The listed benefits are derived from KONE's general company culture description and AI-generated insights.

🎯 Team & Company Context

🏢 Company Culture

Industry: Elevators, Escalators, and Automatic Building Doors (Building Technology and Services). KONE is a global leader in this sector, focusing on improving urban mobility and making cities better places to live through innovative solutions.

Company Size: KONE is a large, global corporation with operations in over 60 countries, indicating a structured yet international work environment.

Founded: 1910. KONE has a long history, suggesting stability, established processes, and a deep understanding of its industry.

Team Structure:

• The role is within the KONE Technology and Innovation Unit (KTI), specifically within KONE IT. This unit merges physical building systems with smart digital solutions.

• The BI Product Designer will be part of the Business Intelligence team within KONE IT, collaborating with Product Owners, Lead Developers, Data Engineers, and business stakeholders.

• This structure implies a matrix organization where IT professionals partner closely with business functions to drive digital transformation and enable new business opportunities. Methodology:

• Data-driven decision-making: Central to the role's purpose.

• Agile methodologies: Scrum or Kanban workflows are explicitly mentioned, indicating iterative development and continuous improvement.

• Collaboration: Emphasis on working in virtual matrix teams, fostering cross-functional partnerships.

• Innovation & Sustainability: Core values of KONE, influencing how solutions are developed and implemented.

• User-centric design: Focus on creating intuitive, usable, and effective BI products.

Company Website: https://www.kone.com/en/

📝 Enhancement Note: KONE's focus on "People Flow" and "Sustainable Success with Customers" underscores the importance of user experience and business value in their technological solutions. The IT unit's role in digital transformation, AI, and automation aligns with modern tech trends, making this a dynamic environment for operations and product professionals.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-level Product Designer - BI, typically requiring 2-5 years of experience. It represents an opportunity to specialize in the design and development of critical Business Intelligence assets within a large, global technology company. The role involves significant autonomy in design and conceptualization, alongside collaborative development and operational support.

Reporting Structure: The BI Product Designer will work directly with the BI Product Owner, Lead Developer, and Data Engineer. They will also collaborate closely with business stakeholders and potentially report through a BI Manager or Head of Data & Analytics within KONE IT. The matrix team structure means collaboration will extend across various functional units.

Operations Impact: The BI Product Designer's work directly impacts KONE's ability to make informed, data-driven decisions across all business functions. By designing and enhancing BI products, they contribute to improved operational efficiency, better strategic planning, increased customer value, and the overall success of KONE's digital transformation initiatives. The role is integral to translating raw data into actionable insights that drive business growth and innovation.

Growth Opportunities:

• Specialization in BI Product Design: Deepen expertise in designing and conceptualizing complex BI solutions using Microsoft Fabric, Power BI, and related technologies.

• Cross-functional Leadership: Develop skills in leading design initiatives within agile teams, influencing product roadmaps, and collaborating with diverse stakeholders.

• Technical Advancement: Gain hands-on experience with AI-assisted capabilities in BI, advanced data modeling, and enterprise-level data governance.

• Career Progression: Potential to move into senior Product Designer roles, BI Solution Architect positions, or Product Owner roles within the KONE IT organization.

• Industry Exposure: Work within the building technology sector, contributing to innovative solutions that shape urban environments.

📝 Enhancement Note: The growth opportunities highlight a path for individuals to become subject matter experts in BI product design within a large enterprise, with clear avenues for advancement into leadership or specialized technical roles. The emphasis on AI and enterprise-level collaboration suggests a forward-looking career trajectory.

🌐 Work Environment

Office Type: The role is primarily On-site, with preferred locations in Chennai or Pune, India. This suggests an office-based environment that facilitates direct collaboration and team interaction.

Office Location(s):

• Chennai, India (preferred): KONE has a significant presence in Chennai, likely offering well-equipped office facilities.

• Pune, India: Another major city in India where KONE operates, providing similar office-based work advantages. Workspace Context:

• Collaborative Environment: The emphasis on teamwork, virtual matrix teams, and close collaboration with product owners, developers, and business stakeholders indicates a dynamic and interactive workspace.

• Technology-Rich: As part of KONE IT and KTI, the workspace will likely be equipped with modern IT infrastructure, including access to the necessary BI tools, development environments, and communication platforms.

• Cross-functional Interaction: Opportunities to engage with professionals from various disciplines, fostering a rich learning and problem-solving environment.

Work Schedule: Standard 40-hour work week, indicative of a professional corporate environment. While on-site, there may be some flexibility offered, especially concerning project deadlines or specific team needs, but the core expectation is office presence for collaboration.

📝 Enhancement Note: The on-site requirement suggests KONE values in-person collaboration for design thinking, problem-solving, and team cohesion, which is common for product design and development roles. This environment is conducive to spontaneous idea generation and rapid feedback loops.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Application review focusing on qualifications, experience, and alignment with required skills.

• Technical/Skills Assessment: This may involve a practical exercise or technical questions related to Power BI, Fabric, SQL, DAX, Python, and UX design principles. A portfolio review will likely be a key component here.

• Case Study/Design Challenge: Candidates may be asked to present a BI product design case study from their portfolio or tackle a hypothetical design problem. This assesses problem-solving, design thinking, and communication skills.

• Behavioral Interview: Focus on assessing soft skills like emotional intelligence, teamwork, collaboration, problem-solving approach, and cultural fit with KONE's values. Questions will likely probe how candidates handle conflict, motivate teams, and foster psychological safety.

• Final Interview: Potentially with senior leadership or key stakeholders to discuss overall fit, strategic alignment, and career aspirations.

Portfolio Review Tips:

• Curate Effectively: Select 2-3 of your strongest BI design projects that best showcase your skills in Power BI, Fabric, data modeling, and UX design.

• Tell a Story: For each project, clearly articulate the business problem, your role, the design process, the solutions you implemented, the technologies used, and the measurable impact (e.g., improved efficiency, better decision-making, cost savings).

• Showcase Process: Detail your approach to user research, requirements gathering, iterative design, and stakeholder collaboration.

• Highlight Technical Proficiency: Be ready to discuss the data models, DAX measures, Power Query transformations, and any Python scripts used.

• Demonstrate Impact: Quantify results whenever possible. Use metrics to show how your designs solved problems or added value.

Challenge Preparation:

• Understand KONE's Business: Research KONE's products, mission, values, and recent news. Consider how BI solutions could support their goals in areas like operational efficiency, customer service, or sustainability.

• Practice Design Thinking: Be prepared to walk through your design process for a hypothetical BI challenge, focusing on problem definition, ideation, prototyping, and testing.

• Technical Readiness: Brush up on SQL, DAX, Power Query, and core Power BI/Fabric concepts. Be ready to write queries or explain complex DAX measures.

• Behavioral STAR Method: Prepare examples using the STAR (Situation, Task, Action, Result) method for common behavioral questions, focusing on teamwork, problem-solving, and leadership.

📝 Enhancement Note: The emphasis on a portfolio and case studies suggests KONE places high value on practical application and the ability to articulate the impact of BI solutions. Interview preparation should focus on demonstrating both technical competence and a strategic, user-centric design approach.

🛠 Tools & Technology Stack

Primary Tools:

• Microsoft Power BI: For data visualization, dashboard creation, and reporting. Candidates must demonstrate proficiency in developing interactive and insightful reports.

• Microsoft Fabric: A unified analytics platform for data engineering, data warehousing, data science, and Power BI, indicating a move towards integrated data solutions.

• DBT (Data Build Tool): For data transformation and modeling, ensuring data accuracy and maintainability in the data pipeline.

• Version Control: GitHub is specified, indicating a need for collaborative code management and CI/CD practices in BI development.

Analytics & Reporting:

• SQL: Essential for data querying, manipulation, and understanding relational databases.

• DAX (Data Analysis Expressions): Critical for creating custom calculations and formulas within Power BI models.

• Power Query: Used for data extraction, transformation, and loading (ETL) within Power BI and Fabric.

CRM & Automation:

• Python: For advanced data analysis, scripting, and potentially integrating with BI tools or automating tasks.

• Confluence & SharePoint: For technical documentation, knowledge sharing, and project management.

• Jira: For agile project management, backlog tracking, and issue resolution.

• AI-assisted capabilities: Expected to be explored and applied to enhance productivity in BI solution development.

📝 Enhancement Note: The technology stack is heavily centered around the Microsoft ecosystem, with a clear focus on Power BI and the emerging Microsoft Fabric platform. Proficiency in SQL, DAX, Power Query, and Python is essential, alongside experience with version control (GitHub) and agile project management tools.

👥 Team Culture & Values

Operations Values:

• Innovation: A core value at KONE, encouraging the exploration of new technologies like AI and modern data architectures to improve BI solutions.

• Sustainability: Integrated into KONE's operations, implying that BI solutions should consider efficiency, resource optimization, and ethical data practices.

• Customer Focus: The mission to improve urban life and create value for customers means BI solutions should directly support business objectives and enhance user experience.

• Collaboration: Working in virtual matrix teams and fostering psychological safety are key to effective teamwork and knowledge sharing.

• Curiosity: A mindset that drives continuous learning and exploration of new capabilities, particularly relevant in the rapidly evolving BI landscape.

Collaboration Style:

• Iterative and Incremental: Working within Scrum or Kanban workflows emphasizes continuous delivery of value and regular feedback loops.

• Proactive Communication: Encouraging early raising of blockers, risks, and concerns to ensure smooth project progress.

• Cross-functional Partnership: Close collaboration with Product Owners, developers, data engineers, and business stakeholders to ensure alignment and shared understanding.

• Psychologically Safe Environment: Fostering an atmosphere where team members feel comfortable sharing ideas, asking questions, and admitting mistakes without fear of negative consequences.

📝 Enhancement Note: KONE's culture emphasizes a blend of innovation, sustainability, and customer-centricity, all underpinned by strong collaboration and a commitment to ethical practices. For a BI Product Designer, this translates to building solutions that are not only functional and efficient but also contribute to KONE's broader mission.

⚡ Challenges & Growth Opportunities

Challenges:

• Integrating New Technologies: Staying abreast of and effectively integrating emerging technologies like Microsoft Fabric and AI-assisted capabilities into existing BI frameworks.

• Data Complexity and Scale: Designing and optimizing BI solutions for very large datasets while ensuring performance, accuracy, and scalability.

• Balancing Design and Development: Effectively switching between conceptual design, user collaboration, and hands-on development tasks.

• Cross-functional Stakeholder Management: Navigating diverse stakeholder needs and priorities within a matrix organization to ensure BI solutions meet broad business requirements.

• Maintaining Governance and Security: Adhering to enterprise architecture, data governance, and cybersecurity standards while delivering agile BI solutions.

Learning & Development Opportunities:

• Microsoft Fabric Expertise: Gaining deep expertise in Microsoft's unified analytics platform, a key area of strategic investment for KONE.

• AI in BI: Exploring and applying AI-assisted tools and techniques to enhance BI development productivity and analytical capabilities.

• Advanced Data Modeling & Architecture: Developing skills in designing robust and scalable data models for complex enterprise data environments.

• Product Management Skills: Enhancing skills in product roadmapping, backlog prioritization, and user story development through close work with Product Owners.

• Leadership and Mentorship: Opportunities to mentor junior team members, lead design initiatives, and contribute to fostering a collaborative team environment.

📝 Enhancement Note: The challenges are typical for a role at the intersection of evolving technology and enterprise-scale operations. The growth opportunities are significant, particularly in gaining expertise with Microsoft's latest data platforms and AI integrations within a stable, global company.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex BI product you designed from concept to deployment. What were the key design decisions, challenges, and outcomes?" (Focus on your design process, user empathy, and impact.)

• "How would you approach designing a new set of dashboards for our sales team, considering their key performance indicators and reporting needs?" (Demonstrate your understanding of user needs analysis and iterative design.)

• "Walk us through a situation where you had to resolve a significant data quality issue impacting a BI report. What steps did you take?" (Highlight your problem-solving, analytical, and communication skills.) Company & Culture Questions:

• "How do KONE's values of innovation and sustainability align with your approach to BI product design?" (Research KONE's values and connect them to your work.)

• "Describe your experience working in a virtual matrix team. How do you ensure effective collaboration and overcome communication barriers?" (Emphasize your emotional intelligence and teamwork skills.)

• "How do you ensure your BI designs are not only functional but also user-friendly and accessible?" (Showcase your UX principles and user-centric approach.) Portfolio Presentation Strategy:

• Structure for Impact: For each portfolio piece, clearly state the problem, your role, the solution, the technologies used, and the measurable results.

• Focus on Process: Explain how you arrived at your design decisions, not just what you designed. Discuss user research, stakeholder input, and iterative refinements.

• Technical Depth: Be prepared to briefly explain your data models, DAX logic, or Power Query transformations if asked.

• Visual Clarity: Ensure your presented mockups, dashboards, and diagrams are clear, well-organized, and easy to understand.

• Enthusiasm and Confidence: Present your work with passion, demonstrating your belief in its value and your ability to deliver high-quality solutions.

📝 Enhancement Note: Interview preparation should focus on showcasing a blend of technical acumen, design thinking, and strong collaborative skills, all tailored to KONE's industry and operational context. Demonstrating an understanding of their values and strategic direction will be key.

📌 Application Steps

To apply for this Product Designer - BI position:

• Submit Your Application: Utilize the provided link on KONE's careers portal (workdayjobs.com).

• Tailor Your Resume: Highlight experience with Microsoft Power BI, Fabric, DBT, SQL, DAX, Python, Power Query, data modeling, and UX design. Quantify achievements where possible, focusing on the impact of your BI solutions.

• Prepare Your Portfolio: Curate 2-3 of your best BI design projects. Be ready to present them, detailing the problem, your process, the solution, and the outcomes. Focus on showcasing your design thinking and user-centric approach.

• Research KONE: Familiarize yourself with KONE's mission, values, products, and recent innovations. Understand their focus on "People Flow," sustainability, and digital transformation.

• Practice Interview Questions: Prepare answers to technical, behavioral, and situational questions, using the STAR method for behavioral responses and focusing on demonstrating your BI design expertise and collaborative skills.

⚠️ 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.

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