Technical Support Engineer - Analytics and Reporting

Your work days are brighter here.

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

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

Workday is looking for a Support Engineer specializing in Analytics and Reporting with expertise in troubleshooting, performance optimization, and data analysis across Workday’s reporting and analytics services. The ideal candidate has a proven foundation in big data processing, data transformation, and reporting frameworks, with the ability to diagnose and resolve sophisticated issues by analyzing logs, performance metrics, and system integrations.

This role requires 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 important for success in this role.

Key Areas of Responsibility

• Provide sophisticated technical support for Workday analytics tools (Report Writer, Prism Analytics, People Analytics, Discovery Boards, Accounting Center and Office Connect for Financial Management), with focus on configuration, performance, indexing, memory, and system health.
• Become a subject-matter guide to drive high-performance reporting and data solutions.
• Partner with customers to translate business requirements into optimized reports and configurations that improve performance, accuracy, and system reliability.
• Troubleshoot report, performance, integration, and memory issues using log analysis, query tuning, and pipeline investigation.
• Advise and guide customers in building, modifying, and optimizing scalable reports with strong data integrity.
• Educate users on reporting, security, and data governance best practices.
• Work cross-functionally with engineering to resolve data quality, security, and performance issues.
• Contribute to documentation, QA, and performance optimization of analytics tools.
• Participate in 24×7 global support rotation.

About You

Key Technical Skills & Knowledge:

• Bachelor’s in Computer Science, Data Science, Information Systems, Statistics, or similar.
• 3+ years in customer support, system performance, or data analytics, ideally with big data / AI-driven analytics.
• Experience with large-scale data platforms (e.g., Spark, Hadoop), including pipeline build and distributed processing.
• Hands-on experience with sophisticated reporting and AI-powered analytics tools, including use of frameworks such as Spark for data transformations.
• Strong SQL skills for sophisticated querying, tuning, and performance improvement.
• Proven ability to map business requirements to analytics solutions and AI insights.
• Understanding of data architecture (data lakes, ETL, streaming).
• Strong analytical ability to interpret sophisticated data and use big data / AI tools to improve products and reporting performance.

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.

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