Workday
1 week ago

Sr Business Intelligence Analyst

Costa Rica

Job Description

Your work days are brighter here.

At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.

At Workday, we value our candidates’ privacy and data security.  Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. 

  

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

  

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

About the Team

It's fun to work on a team where people truly believe in what they're doing. At Workday, we are committed to bringing passion and customer focus to the business of enterprise applications. We work hard, and we're serious about what we do. But we like to have a good time, too. FUN is one of our core values!

About the Role

 We are seeking a Senior Reporting Analyst with deep expertise in Snowflake and Sigma Computing (SIGMA) to help shape and drive the next generation of business intelligence, reporting and analytics for our Finance Transformation efforts. This is more than just a reporting role—you’ll be unlocking the full power of Snowflake’s BI and AI capabilities to deliver rich, actionable insights that drive strategic financial decisions.

You will play a critical role in enabling scalable reporting, integrating predictive analytics, and transforming raw data into powerful business narratives.

About You

Key Responsibilities:

  • Build and maintain advanced reporting solutions and interactive dashboards using Sigma on top of Snowflake, delivering data-driven insights to Finance, FP&A, Accounting, and Executive teams.
     

  • Leverage Snowflake’s advanced BI ecosystem to orchestrate and scale data for reporting and decision support, utilizing features like dynamic data sharing, cross-cloud access, and governed data products.
     

  • Partner with analytics and data science teams to enable AI/ML-powered financial forecasting, anomaly detection, and predictive insights within Snowflake, pushing reporting beyond descriptive analytics.
     

  • Translate large, complex datasets into clear, compelling data stories that highlight trends, opportunities, and risks.
     

  • Collaborate with Finance, Accounting, Data Engineering, and Governance teams to ensure data integrity, security, and compliance (SOX, GAAP).
     

  • Provide advanced documentation of reporting logic, data pipelines, definitions, and visualization approaches for consistency and auditability.
     

  • Act as a subject matter expert for BI optimization on Snowflake, guiding teams on best practices for query performance, cost efficiency, and data modeling.
     

  • Contribute to the strategy and execution of integrating AI-driven analytics into operational and executive reporting processes.
     

  • Mentor peers, drive reporting standards, and foster a data-literate, insight-driven culture across the organization.
     

Required Qualifications:

  • 8+ years of experience in analytics, reporting, or data visualization roles, with a focus on financial or operational reporting.
     

  • 3+ years of deep, hands-on experience with Snowflake, including advanced query optimization, data modeling, and data governance.
     

  • Proficiency with Sigma Computing (SIGMA) for developing interactive dashboards and reporting interfaces.
     

  • Strong understanding of Snowflake’s role in modern BI ecosystems, including integration with AI/ML platforms and advanced analytical frameworks.
     

  • Proven ability to translate technical analytics into executive-level data storytelling.
     

  • Experience working with large, complex financial datasets and aligning reporting outputs with business goals.
     

  • Proficiency with SQL, data pipelines, and other advanced data tools.
     

  • Excellent documentation skills with the ability to convey technical logic and methodologies clearly.
     

  • Strong collaboration, stakeholder engagement, and problem-solving skills.
     



Our Approach to Flexible Work
 

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

Please mention that you found this job on MoAIJobs, this helps us grow. Thank you!

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