Join Workday: A Brighter Future Awaits

At Workday, every day is an opportunity for brilliance. Our journey began at a sunny California diner where our founders envisioned a revolution in the enterprise software market. This vision, combined with a culture that prioritizes our people, has driven our success. Our employees, or "Workmates," thrive in an employee-centric, collaborative environment, contributing to a culture that values happiness, development, and community. If you share our passion for creating a brighter work environment, join us and be part of our growth journey as we make every workday brighter.

About the Team

The RevOps Business Intelligence (BI) team within the Revenue Operations department is dedicated to driving business outcomes and revenue growth to $10 billion through actionable insights. Our team defines and delivers self-service dashboards, consumable datasets, and metrics. Join us to help shape innovative, user-centered, predictive, and prescriptive analytics at Workday!

Información sobre el equipo

El equipo de RevOps Business Intelligence del departamento de Operaciones de Ingresos tiene como objetivo facilitar los resultados comerciales y el crecimiento de los ingresos hasta los $10 mil millones a través de información oportuna y práctica. Definimos y proporcionamos tableros de control de autoservicio, conjuntos de datos consumibles y métricas. ¡Únase a nosotros y ayude a definir nuevos análisis centrados en el usuario en Workday!

About the Role

As a Senior Analytics Data Specialist, you will be fundamental in your role as a Data Specialist (a.k.a Data Product Owner). Collaborate with Data Engineers, Data Architects, and Business Analysts/Owners to create scalable data models with pre-calculated metrics. Utilize Business Intelligence or ETL tools to build and publish reusable data sources. Document data sources/views, business metrics, and conduct enablement sessions to improve data and metrics awareness.

Our team blends fun, dedication, and professional development. We seek someone who enjoys collaborating to tackle problems, demonstrates leadership, and receives positive reviews upon project completion.

Responsibilities

• Data Models: Serve as Data Product Owner for a portfolio of data warehouse business views to support Business Intelligence and Analytics use cases.
• Data Analysis: Conduct data and gap analysis to ensure data views support Business Intelligence and Analytics use cases.
• Data Preparation: Maintain and optimize non-systems data inputs. Automate data preparation activities using SQL, DBT, or Alteryx.
• Data Delivery: Partner with Data Engineering to deliver data and metrics. Validate, sign-off, and manage go-lives for data sources.
• Metric Governance: Create, maintain, and update documentation on certified datasets and metric definitions.
• Data/BI Security: Handle automated dashboard access and security models ensuring consistent security across users.
• Enablement: Document and train Analysts on business views, metrics, access, and security.
• Optimization: Optimize data sources and consult on dashboard optimization following best practices.
• Troubleshoot: Resolve data, dashboard, and security issues.
• Tools & Systems: Analyze and manage system changes and platform upgrades affecting data and dashboards.
• Published/Certified Data Sources: Build and publish data sources to support dashboard requirements and ad-hoc analysis.
• Dashboards: Occasionally contribute to building and enhancing dashboards using Tableau, Salesforce, or PowerBI.

Información sobre la función

Como especialista sénior en Análisis de Datos, desempeñará una función fundamental como especialista en datos (también conocido como responsable del producto de datos). Trabajará en estrecha colaboración con ingenieros de datos, arquitectos de datos y analistas/propietarios de negocios para crear modelos de datos escalables y consumibles con métricas de negocios calculadas de antemano. Además, como especialista en análisis, deberá crear y publicar orígenes de datos reutilizables mediante el uso de herramientas de inteligencia de negocios o ETL. Documentará orígenes de datos/vistas y llevará a cabo sesiones de capacitación para mejorar el conocimiento de los datos y las métricas.

Tenemos una cultura de equipo fenomenal, mezclando diversión con dedicación y desarrollo profesional. Buscamos