Field Analytics Advisor
Your work days are brighter here.
About the Team
About the Role
As a Business Intelligence Analyst, you will turn complex data into clear, actionable insights that help our leaders make better decisions. You will own the end‑to‑end analytics lifecycle: from extracting and transforming data, to building dashboards and reports, to proactively surfacing insights and recommendations. You will combine strong BI fundamentals (data extraction, manipulation, and visualization) with modern AI tools to scale insight generation and automation. You'll work closely with stakeholders to understand their business questions, translate them into analytical problems, and deliver solutions that are intuitive, reliable, and easy to adopt. This role is based in Poland, and you'll be part of a growing analytics community at Workday, with opportunities to learn, share best practices, and continuously develop your skills. Key responsibilities
- Partner with stakeholders to understand business priorities and translate them into analytical questions, requirements, and roadmap.
- Extract, transform, and validate data using SQL, Python to build reliable datasets that underpin reporting and analysis.
- Design, develop, and maintain interactive dashboards and reports in Sigma and Tableau that provide clear visibility into performance and trends.
- Use AI tools (e.g., Gemini) to accelerate data exploration, automate repetitive analysis, and scale insight generation across stakeholders.
- Conduct deep‑dive analyses to identify trends, patterns, risks, and opportunities, and translate findings into clear, actionable recommendations.
- Build and maintain reusable metrics, definitions, and documentation to ensure consistency and trust in the data.
- Collaborate with cross‑functional teams (e.g., Operations, Finance, Sales, Customer Success) to ensure that data and analytics solutions are aligned with business processes.
About You
Basic qualifications
- 2+ years of experience in a Business Intelligence Analyst, Business Analyst, or similar analytics role.
Other Qualifications:
- Practical experience with latest AI tools.
- Practical experience with data manipulation, analysis, or automationExperience building dashboards and reports using BI tools such as Sigma, Tableau, or similar.
- Strong proficiency with Excel and G‑Suite (Sheets, Slides, Docs) for analysis and communication.
- Professional experience working in a data‑driven environment, supporting business stakeholders with reporting and insights.
- SQL/Python knowledge is a plus.
- Fluent in English, with strong written and verbal communication skills.
Workday Pay Transparency Statement (For EU Locations Only)
Our Approach to Flexible Work
spend at least half (50%) of our time each quarter in the office or in the field
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Not included in the source posting: qualifications, benefits.
Skills
Who can apply
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