The Associate Data Analyst at Workday will partner with cross-functional stakeholders to identify business problems and translate them into scalable, reusable data products. This role is central to enabling data-driven decision-making across product, sales, finance, HR, and operations teams within a Fortune 500 company and leading AI platform for managing people, money, and agents.
What You'll Do
- Partner with cross-functional stakeholders (e.g., product, sales, finance, HR, operations) to identify, define, and clarify business problems and opportunities, and translate these into clear data product requirements.
- Analyze datasets from Workday and other systems to identify trends, patterns, and drivers that inform the design of scalable data products and shared metrics.
- Design and iterate on reusable data assets (e.g., curated datasets, semantic layers, standardized dashboards) that can support multiple teams and use cases, rather than one-off analyses.
- Write and optimize SQL queries to extract, join, and validate data from relational sources, ensuring performance, reliability, and alignment with our data models.
- Use data analysis tools and visualization platforms to build intuitive, self-service reporting and analytics experiences that empower stakeholders to answer their own questions where appropriate.
- Apply strong Analytical Thinking and Problem Analysis to break down complex, ambiguous questions into structured problems with clear hypotheses, methods, and success criteria.
- Demonstrate Business Acumen by understanding how different functions operate, how their metrics relate, and how shared data products can create leverage across organizations.
- Contribute to Data Governance by helping define and document metrics, data definitions, and usage guidelines for data products, and by raising and tracking data quality issues with appropriate owners.
- Collaborate with analytics engineers, data engineers, and other analysts to align on data models, pipelines, and technical standards that support reliable data products.
- Participate in and sometimes facilitate cross-functional design reviews, stakeholder workshops, and feedback sessions to refine data products and ensure they meet real user needs.
- Support testing and validation of new or updated data products, including sanity checks, reconciliation with source systems, and tracking issues through to resolution.
- Contribute to documentation, playbooks, and knowledge-sharing so that data products are well understood and easy to adopt across teams.
- Over time, you will deepen both your product and analytics capabilities, taking on more complex cross-functional initiatives.
What We're Looking For
- 2+ years of professional experience in a data-focused role (e.g., Data Analyst, Product Analyst, Business Analyst, Reporting Analyst) working closely with stakeholders to solve business problems using data.
- Hands-on experience writing and using SQL to query and manipulate data from relational databases or structured datasets.
- Experience with at least one data visualization / BI tool (e.g., Tableau, Power BI, Looker, or similar) to build reports or dashboards that are used by multiple stakeholders.
- Experience in Finances is a must.
Nice to Have
- Solid understanding of relational data concepts and basic data modeling, including relationships, joins, aggregations, and how to structure data for analytics and reporting.
- Strong Analytical Thinking and Problem Analysis skills, with the ability to decompose complex, cross-functional questions into smaller, answerable components and choose appropriate analytical approaches.
- Demonstrated experience in Business Analysis: capturing requirements, mapping business processes to data, and converting stakeholder needs into clear data or reporting specifications.
- Strong verbal and written communication skills, with the ability to explain data concepts, trade-offs, and findings in a way that resonates with different audiences, from technical partners to business leaders.
- Experience with Python or R for data analysis, automation, or experimentation is a plus.
- Familiarity with Workday data, Salesforce.com, reporting, analytics, or similar enterprise application data domains is a plus.
- Demonstrated ability to collaborate effectively across multiple teams and levels, build trust, and influence through data and clear reasoning.
- Comfortable working in an iterative or agile environment, incorporating feedback, and adjusting as priorities and learnings evolve.
- Ability to maintain high standards of data integrity and confidentiality, and to support Data Governance practices in your day-to-day work.
Technical Stack
- SQL
- Tableau
- Power BI
- Looker
- Python
- R
- Workday data
- Salesforce.com
Team & Environment
- cross-functional team of Data Analysts
Benefits & Compensation
- Opportunity to work in a Fortune 500 company and a leading AI platform for managing people, money, and agents.
- Culture rooted in integrity, empathy, and shared enthusiasm.
- Support of a company invested in you for the long haul.
- Trust to take risks, tools to grow, skills to develop, and support for long-term growth.
- Flexible work model (Flex Work) combining in-person and remote work.
- At least 50% of time each quarter spent in the office or in the field with customers, prospects, and partners.
- Freedom to create a flexible schedule that caters to business, team, and personal needs.
- Opportunity for remote employees to come together in offices for important moments.
- Equal Opportunity Employer including individuals with disabilities and protected veterans.
- Commitment to accessible and inclusive hiring experience.
- Employee Referral process available.
- Comprehensive benefits package (link provided).
Compensation: Primary Location: ₡20,170,400 CRC - ₡30,255,600 CRC; Additional US Locations: $79,800 USD - $141,700 USD. Includes annual refresh stock grants and eligibility for Workday Bonus Plan or role-specific commission/bonus.
Work Mode
- Hybrid work model
- Locations: CRI.Heredia, US
- Spend at least 50% of time each quarter in the office or in the field with customers, prospects, and partners; flexible schedule creation based on business, team, and personal needs
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.