Workday is a leading provider of enterprise cloud applications for finance, HR, and planning. Founded in 2005, Workday delivers financial management, human capital management, and analytics applications designed for the world’s largest companies, educational institutions, and government agencies. Organizations ranging from medium-sized businesses to Fortune 50 enterprises have selected Workday.

About The Team

Workday is building a Analytics Practice which will enable strategic decisions across Product Development. The Analytics Practice works closely with Product Management, Development, and UX Research and Design. The team will advocate for data-driven decision making across the organization, ensure robust data logging, and measure various aspects of the user experience, including: user setup, discoverability, findability, ensuring top tasks are effortless, and understanding our user personas.

Our team promotes Workday’s core values with ‘Employees’ being the first of them. This is why we offer flexible work schedules, empower you to follow your desired career path & achieve professional and personal goals, encourage work-life balance and wellbeing, and are proud to champion equal opportunities for everyone.

About The Role

Workday is looking for a Data Analyst that loves learning the intricacies of a data set and guiding folks to insights with inventive visualizations. The ideal candidate brings a thorough understanding of data discovery and extraction, has the ability to drive processes improvement strategies, and solution by prioritizing business outcomes. Good communication and collaboration skills are needed for success.

Responsibilities

• Make recommendations based on business data, product data, and market knowledge
• Enable product development by informing product roadmaps with insights derived from internal and external sources
• Translate requests from Development Leadership and Product Management into measurable goals
• Ask the right questions, identify the appropriate analytics solution, and provide answers
• Communicate easy-to-understand insights and recommendations
• Deep expertise in data storytelling

Basic Qualifications

• 5+ years professional experience in analytics
• Experience working with Data Visualization technologies (e.g. Tableau) and Data Extraction (SQL or Hive)

Other Qualifications

• Experience in business-to-business analytics and mobile app user analysis
• Familiarity with Python data analysis packages
• Demonstrated customer service experience and/or interpersonal skills
• Ability to communicate data into significant items for various audiences, including but not limited to, functional end-users and executive partners
• Proficiency translating business problems to data problems, identifying solutions, and efficiency opportunities