Western Digital Business Analyst (Analytics - Data Science) - 12+ years \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Business Analyst (Analytics - Data Science) - 12+ years Full-time Job Type (exemption status): Exempt position - Please see related compensation & benefits details below Business Function: Program Management Engineering Work Location: Bangalore Hallmark Office (IBS)--LOC\\_WDT\\_IBS Company Description At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, weve been doing just that. Our technology helped people put a man on the moon. We are a key partner to some of the largest and highest growth organizations in the world. From energizing the most competitive gaming platforms, to enabling systems to make cities safer and cars smarter and more connected, to powering the data centers behind many of the worlds biggest companies and public cloud, Western Digital is fueling a brighter, smarter future. Binge-watch any shows, use social media or shop online lately? Youll find Western Digital supporting the storage infrastructure behind many of these platforms. And, that flash memory card that captures and preserves your most precious moments? Thats us, too. We offer an expansive portfolio of technologies, storage devices and platforms for business and consumers alike. Our data-centric solutions are comprised of the Western Digital®, G-Technology, SanDisk® and WD® brands. Todays exceptional challenges require your unique skills. Its You & Western Digital. Together, were the next BIG thing in data. ABOUT ADVANCED ANALYTICS OFFICE (AAO) and BIG DATA PLATFORM (BDP) AAO is missioned with accelerating Analytics solutions at scale across the Enterprise to rapidly capture business value. These solutions target key business metrics, such as, reducing manufacturing cost, improve capital efficiency, reduce time-to market to develop new products, improve operational efficiency, and improve customer experience. These solutions are built using cutting edge Industrial 4.0 technologies and are delivered through a platform approach to enable rapid scaling. The solutions span AI/ML for improving manufacturing yield, quality, equipment uptime, and adaptive testing, Operations Research for capacity and scheduling optimization, Digital Twin for inventory and logistics optimization, and Product Telematics for managing customer fleet management solutions. Big data platform, BDP team provides self-service data and application platforms enabling rapid scaling of services to make ever increasing business impact. You will have the opportunity to partner in making remarkable things happen across WDTs more than dozen factories across the globe, global product development teams, customer solutions, and supporting operations like Finance, supply chain, Procurement, Sales etc Job Description As a Senior Business Analyst/Analytics Business Partner, you will play a pivotal role in transforming business processes through data-driven decision-making, automation, and advanced analytics. You will work cross-functionally to identify pain points, assess opportunities, and collaborate with technical teams to develop and implement impactful solutions.This is an Individual Contributor position based in Bengaluru. Essential Duties & Responsibilities: Engage with business leaders across Product Engineering, Sales, Finance, and Supply Chain to understand challenges and analytics needs. Facilitate workshops to map out bottlenecks and identify opportunities for automation and advanced analytics. Prepare solution blueprint or conceptual analytics solution by identifying the right mix of technology (Classical AI/ML, GenAI, Operations Research, Digital Twin, Big Data Analytics etc.) Prioritize initiatives based on business value, return on investment (ROI), and feasibility. Translate business needs into technical specifications for Data & Analytics teams. Coordinate solution development, ensuring effective collaboration between business stakeholders and technical teams. Communicate insights and solutions through presentations and reports for executive stakeholders. Qualifications Required: Education: MBA in Business Analytics or a related field. Alternatively, M aster of Science in Data Science, AI/ML with some technical accumen. Experience: 8+ years as a Business Analyst, preferably in consulting or supporting business functions within the technology sector. 12+ years in Analytics function. Business Acumen: Ability to assess business value, articulate ROI, and prioritize initiatives effectively. Business Process Expertise: Experience in value stream and process mapping for workflows such as Design to Build, Plan to Fulfill, Order to Cash, Procure to Pay, Record to Report, etc. Enterprise Data Knowledge: Understanding of Enterprise Data Warehouses, Data Lakes, Master Data Management (MDM), and data governance principles. Technical Awareness: Familiarity with data analytics, predictive modeling, and data platforms to bridge the gap between business and technical teams. Communication & Influence: Ability to translate complex concepts into clear business value and engage with executives and technical teams. Problem-Solving Mindset: Proven ability to identify challenges and drive actionable solutions. Preferences: Solved problems by applying Analytics in the field of Product Engineering - Firmware Engineering, ASIC, SoC etc. Prior implementation experience of AI/GenAI projects, first-of-a-kind product development and understands the technology concepts well. High-Tech / Semiconductor Industry experience Additional Information Because Western Digital thrives on the power of diversity and is committed to an inclusive environment where every individual can thrive through a sense of belonging, respect, and contribution, we are committed to giving every qualified applicant and employee an equal opportunity.  Western Digital does not discriminate against any applicant or employee based on their protected class status and complies with all federal and state laws against discrimination, harassment, and retaliation, as well as the laws and regulations set forth in the Equal Employment Opportunity is the Law poster. Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at  to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline or email . 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The role requires 12+ years in an analytics function and 8+ years as a Business Analyst, preferably in consulting or supporting business functions within the technology sector. Candidates should possess strong business acumen to assess business value, articulate ROI, and prioritize initiatives. Expertise in business process mapping for various workflows is necessary, along with an understanding of Enterprise Data Warehouses, Data Lakes, Master Data Management (MDM), and data governance principles. Technical awareness of data analytics and predictive modeling is needed to bridge business and technical teams, supported by strong communication and problem-solving skills. An MBA in Business Analytics or a related field, or a Master of Science in Data Science, AI/ML with technical acumen, is required.