Technical Support Engineer - Data Analytics

Your work days are brighter here.

At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.

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About the Team

Join our team and experience Workday! / About the team

It's fun to work in a company where people truly believe in what they're doing. At Workday, we're committed to bringing passion and customer focus to the business of enterprise applications. We work hard, and we're serious about what we do. But we like to have a good time, too. In fact, we run our company with that principle in mind every day: One of our core values is fun.

About the Role

Job Description / About the Role 

Workday is looking for a Support Engineer specializing in Analytics with expertise in troubleshooting, performance optimization, and data analysis across Workday’s analytics services, including Prism Analytics, People Analytics, Discovery Boards, and Accounting Center. The ideal candidate has a solid foundation in big-data processing, data transformation, and reporting frameworks, with the ability to diagnose and resolve complex issues by analyzing logs, performance metrics, and system integrations. This role requires hands-on experience with query performance tuning, data pipeline debugging, and structured troubleshooting methodologies to support Workday’s analytics solutions. Strong data modeling, log analysis, and problem-solving skills combined with clear, effective communication are essential for success in this role.

About You

Key Areas of Responsibility:

• Provide sophisticated technical support for Workday’s reporting and analytics tools, including Prism Analytics, People Analytics, Discovery Boards, and Accounting Center, focusing on performance optimization, index debugging, memory management, and system health debugging.

• Develop expertise in Workday analytics services to drive high-performance reporting and data analytics solutions, using Prism Analytics, People Analytics, and SQL best practices.

• Collaborate with clients to define business requirements and translate them into optimized reports and configurations, improving query performance, data accuracy, and system health using Prism Analytics and Discovery Boards.

• Troubleshoot and resolve issues related to report configurations, system performance, integrations, and memory management, including detailed analysis of logs, query performance, and data pipelines.

• Guide customers in building, modifying, and optimizing reports, ensuring scalability, data integrity, and alignment with business needs, especially in Prism Analytics and Accounting Center.

• Educate users on standard methodologies for Workday reporting, security, and data governance, emphasizing People Analytics and Discovery Boards.

• Collaborate cross-functionally with engineering teams to address data quality issues, security concerns, and performance optimizations across Prism Analytics and Accounting Center, with a focus on memory management and system health.

• Contribute to documentation, QA efforts, and the optimization of analytics tools, with a focus on SQL querying, indexing, and debugging system health issues.

• Participate in 24x7 global support coverage, providing timely and efficient support across time zones.

Key Technical Skills & Knowledge:

• Bachelor’s degree in Computer Science, Information Management, Statistics, Data Science, or a related field.

• 3+ years of experience in customer support, system performance optimization, data analysis, or similar roles, with a solid background in big data technologies and AI-driven analytics.

• Demonstrable experience with data platforms (e.g., Spark, Hadoop) and working with large-scale datasets, including data pipeline design and distributed processing.

• Hands-on experience with advanced reporting tools and analytics solutions, including AI-powered reporting platforms and big data tools like Spark for data transformation and analysis.

• Strong proficiency in SQL and data querying with the ability to analyze complex data sets, optimize queries, and perform data-driven insights to enhance system performance and business processes.

• Demonstrated ability to gather and map business requirements to advanced analytics and application capabilities, ensuring alignment with AI-driven insights and reporting solutions.

• Solid understanding of data architecture, including data lakes, ETL processes, and real-time data streaming.

• Strong analytical skills to collect, organize, and interpret complex datasets, using AI and big data tools to drive product improvements and optimize reporting performance.

• Ability to deliver data-driven insights to technical and non-technical partners, presenting complex findings to end-users and executive teams in an actionable manner.

• Proven collaboration skills, working across teams to drive issue resolution and using AI or machine learning models to enhance system functionality and customer experience.

• Strong written and verbal communication skills, with experience in technical consulting, customer support, or AI/ML-driven technical roles.

Self-motivated with the ability to work independently in a fast-paced environment, while using AI and big data technologies to identify and resolve issues.

Our Approach to Flexible Work
 

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!