Partner with cross‑functional stakeholders to identify, define, and clarify business problems and opportunities.
Analyze datasets from Workday and other systems to identify trends, patterns, and drivers.
Design and iterate on reusable data assets that can support multiple teams and use cases.
Write and optimize SQL queries to extract, join, and validate data from relational sources.
Use data analysis tools and visualization platforms to build intuitive reporting and analytics experiences.
Apply strong Analytical Thinking and Problem Analysis to structured problems.
Demonstrate Business Acumen by understanding how different functions operate.
Contribute to Data Governance by helping define metrics and data definitions.
Collaborate with analytics engineers and other analysts to align on data models.
Support testing and validation of new or updated data products.
Contribute to documentation, playbooks, and knowledge‑sharing.

2+ years of professional experience in a data‑focused role (e.g., Data Analyst, Product Analyst, Business Analyst, Reporting Analyst)
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)
Experience in Finances is a must.
Solid understanding of relational data concepts and basic data modeling.
Strong Analytical Thinking and Problem Analysis skills.
Demonstrated experience in Business Analysis: capturing requirements, mapping business processes to data.
Strong verbal and written communication skills.
Experience with Python or R for data analysis is a plus.
Familiarity with Workday data, Salesforce.com, reporting, analytics, or similar enterprise application data domains is a plus.

Data Analyst

Key skills