Analyst 5, Data Analytics

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, we've 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 world's biggest companies and public cloud, Western Digital is fueling a brighter, smarter future.

Binge-watch any shows, use social media or shop online lately? You'll 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? That's 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.

Today's exceptional challenges require your unique skills. It's You & Western Digital. Together, we're the next BIG thing in data.

ESSENTIAL DUTIES AND RESPONSIBILITIES 

• Gathering data from diverse sources, including databases, APIs, and web scraping. 
• Possessing deep knowledge of data analytics principles, tools, and technologies. 
• Handling missing values, correcting errors, and ensuring data consistency, data quality, and optimizing data performance. 
• Create and maintain data models that structure and organize data within a domain, ensuring clarity and consistency. 
• Create data products, designed to solve specific business problems within a domain. 
• Performing statistical analysis and modeling to identify trends, patterns, and relationships in the data.
• Preparing reports, presentations, and dashboards to communicate insights and findings. 
• Using data to identify and solve business problems, improve processes, and make data-driven decisions. 
• Collaborating with cross-functional teams including, Data Engineers, Data scientists, Business Analysts, Solution Architects, IT & Business teams.
• Document and maintain end to end data flows, Data Lineage, Data Catalog for various data marts.
• Be a liaison between solution architects, BSA's and data engineers to ensure compliance to standards of Data integrations, data management and review the data solutions.
• Stay updated with the latest industry trends and best practices, sharing knowledge and encourage team to continuously improve their skill's

REQUIRED

• Bachelor's degree or higher in Computer Science or Engineering or related field
• Minimum 12+ years of experience working with diverse data platform technologies.
• Experience on any of the data Quality tools like Informatica Data Quality, Atlan, Collibra, etc.
• Demonstrable experience working with data structures coming from variety of ERP, CRM and other data sources.
• Experience working with at least one major cloud data platforms like AWS, Azure, Google, etc.
• Experience working with at least one modern Lakehouse platforms like Databricks, Snowflake, etc.
• Experience working with Tableau, Power BI, or other Data visualization tools.
• Develop Entity Relationship Diagrams using and data modeling tools.
• Functional domain knowledge in Finance, Supply chain with manufacturing background.
• Responsible for metadata management of data domain, inclusive of data definitions, data catalog, data lineage and documentation of data flow for critical processes, Sox compliance
• Partner with data governance team and business analysts
• Maintain in-depth understanding of business functions, processes, and relationships as it relates to data

SKILLS

• Proven experience in data analysis, business intelligence, or related roles
• Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, etc.).
• Proficiency in statistical analysis techniques and tools. Knowledge of machine learning and data mining techniques is desirable.

Ability to analyze, communicate and solve complex problems.

Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with 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 [email protected] 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.

#LI-RR1

Based on our experience, we anticipate that the application deadline will be 10/25/2024, although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline.