Sr. Analyst, Enterprise Reporting & Analytics

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 precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
What is The Role
We are looking for a Senior Analyst of Enterprise Reporting to join our growing team. The Enterprise Reporting & Analytics team, within the CFO organization, is responsible for the consistent availability and reliability of enterprise data assets and key business metrics across the company.
We partner closely with various Finance functional teams to provide the support needed in planning, forecasting and performance evaluations. At the same time, we own and manage certified reporting data assets used across the company, including by RevOps, Marketing, Product, and Engineering, to support trusted, consistent decision making at scale.
This role is focused on business intelligence, metrics, and reporting. We are looking for someone who can take projects from end to end: understand the business question, shape the underlying data model, build and validate the reporting solution, and maintain and improve it over time.
If you enjoy problem-solving, critical thinking, and finding insight amid ambiguity, we’d love to hear from you.
What You Will Be Doing
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.
Improve existing reports, data models, and workflows for accuracy, usability, performance, and maintainability.
What You Bring
5+ 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.
4+ 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.
4+ 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.