Technical Support Engineer - Analytics and Reporting at Workday

Warsaw, Woj. Mazowieckie, Poland

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Enterprise Software, HR TechIndustries

Requirements

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 query writing, performance tuning, data modeling, log analysis, and problem-solving
Expertise in troubleshooting, performance optimization, and data analysis across reporting and analytics services
Ability to diagnose and resolve sophisticated issues by analyzing logs, performance metrics, and system integrations
Clear, effective communication skills
Willingness to participate in 24×7 global support rotation

Responsibilities

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

Skills

Analytics

Reporting

Troubleshooting

Performance Optimization

Data Analysis

Big Data Processing

Data Transformation

Reporting Frameworks

Workday

Cloud applications for finance and HR management

About Workday

Workday provides enterprise cloud applications that focus on finance and human resources for medium to large-sized businesses across various industries. Its main products include Workday Human Capital Management, Workday Financial Management, Workday Adaptive Planning, and Workday Student, which help organizations manage their workforce and streamline financial operations. The software operates on a subscription model, allowing clients to pay a recurring fee based on the number of users and specific modules needed. This model supports continuous updates and improvements to the software. Workday stands out from competitors due to its strong emphasis on customer satisfaction and employee engagement, offering tools like Workday Peakon Employee Voice to enhance workforce experience. The company's goal is to provide essential tools that improve operational efficiency and support businesses in managing their human resources and financial operations effectively.

Pleasanton, CaliforniaHeadquarters

2005Year Founded

$209.4MTotal Funding

IPOCompany Stage

Consulting, Enterprise SoftwareIndustries

10,001+Employees

Benefits

Flexible Work Hours

Hybrid Work Options

Performance Bonus

Stock Options

Professional Development Budget

Conference Attendance Budget

Risks

Emerging HR tech startups like Buk could challenge Workday's market share.

Dependency on third-party platforms like Udemy may complicate service delivery.

Strategic shifts under new leadership could disrupt existing customer relationships.

Differentiation

Workday is a leader in cloud-based HCM and ERP solutions for large enterprises.

The company offers a subscription model ensuring steady revenue and continuous software updates.

Workday's focus on employee engagement tools like Peakon sets it apart in the market.

Upsides

Increased demand for cloud HCM solutions boosts Workday's market potential.

AI-driven analytics enhance Workday's financial management offerings with predictive insights.

Workday's partner ecosystem expansion, like with MetLife, opens new customer opportunities.

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