Finance Reporting & Analytics Manager

Elastic
Costa RicaPosted 7 April 2026

Job Description

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 Finance Reporting Analytics Manager to join our Finance Transformation team and focus on delivering and advancing our reporting and analytics capabilities within the Finance organization. The primary mission of the Finance Transformation team is to drive change and efficiency in Finance to support strategic objectives. If you love problem-solving and critical thinking, and are passionate about finding insight among ambiguity, we'd love to hear from you! As the Finance Analytics Manager, you will be responsible for partnering with Finance stakeholders to scope and prioritize reporting and analytic needs, designing and delivering dashboards, reports, and analyses. You will also serve as the primary data analytics designer and modeler for finance-specific applications (NetSuite, Revpro, Concur, Navan) and will be responsible for designing proper data quality tests for finance analytics. This role requires both individual contribution, and leadership of a small team of analysts. What You Will Be Doing Collect, analyze and understand business reporting requirements and translate to data models and dashboards Understand and build end to end data flows, process maps, and SOX controls Design and build underlying data models to support end-user reporting Evaluate and prioritize new data analytics and insights project submissions, ensuring alignment with Finance org priorities Enhance and evolve Finance reporting capabilities and drive the adoption of analytics tools and aligned reporting frameworks Create detailed metadata documentation for data models and columns to improve data clarity and usability for end-users Monitor and maintain data quality, validation/audits, and governance for in-scope data domains What You Bring 5+ years of relevant work experience (Business Analytics, Data Modeling/Analytics, Data Management, Program Management) Prior experience working across different Finance stakeholders, e.g., FPA, Revenue, Financial Reporting, etc. Strong understanding of Finance reporting principles and best practices Experience conducting large scale data analysis to support business decision making Experience working with enterprise wide data, structured and unstructured, joining large and complex data sets Experience with the following tools: SQL (writing and analyzing complex queries), dbt (modeling and transformation), Sigma Computing (dashboards and visualization) Familiarity with version control systems (e.g., Git) to manage dbt projects and collaborate with team members preferred Demonstrable ability to be agile, proactive and comfortable working in ambiguity and think creatively to come up with innovative solutions to complex problems Ability to translate the functional (business) needs to the analytics/technology Familiarity with data structures from common Finance systems, e.g., NetSuite, Zuora Revpro Self-motivated and pragmatic, with a get-it-done mentality Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do ... (truncated, view full listing at source)
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