The opportunity
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the…
What you'll do
Partner with Finance and cross-functional business teams to define and: develop trusted enterprise data sources, performance metrics, and reporting that support business insights and decision making at scale.
Manage reporting and analytics projects from start to finish. This involves: gathering requirements, transforming data, delivering dashboards, validating results, and enabling stakeholders.
Build and improve analytical data models and transformations in BigQuery,: ensuring data assets are accurate, scalable, performant, and appropriate for certified reporting.
Develop clear, intuitive Tableau, Sigma, and other reporting experiences that: help stakeholders understand business performance and take action.
Support data certification, metric definition, documentation, and: data-quality monitoring to maintain confidence in key enterprise reporting.
Perform quantitative analysis and data mining to identify insights beyond the: immediate request; proactively identify opportunities for follow-up analysis, automation, and process improvement.
What they're looking for
- Improve existing reports, data models, and workflows for accuracy, usability,: performance, and maintainability.
- + years of relevant experience in business analytics, business intelligence,: data analytics, or data modeling. Experience supporting Finance, Revenue, Go-to-Market, or other enterprise business functions is preferred.
- + years of Tableau experience, including data-source development, measure: definition, dashboard design, and ongoing dashboard maintenance. Experience with Sigma or other modern BI tools is a plus.
- + years of SQL experience and hands-on experience with BigQuery (or similar: cloud data platforms) for data transformation and analytical data modeling. You are comfortable independently reading, writing, debugging, and improving SQL code. Practical experience building data pipelines with dbt and managing collaborative version control using Git is a plus.
