Enterprise Data & Analytics Manager

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.

We are seeking a Manager of Enterprise Reporting and Analytics to join our Enterprise Data & Analytics (EDA) team and advance how we deliver reporting and insights across the company. The EDA team's mission is to ensure the availability, reliability, and usability of data at enterprise scale-driving how data is defined, governed, consumed, and delivered to enable smarter, faster business decisions.

This is a highly visible role within the CFO organization that will shape how leaders across organization use data to understand business performance and make critical strategic decisions.

This role is built for a hands-on leader who can balance technical acumen with business impact. You will support enterprise reporting and analytics for key external metrics such as customer penetration, net expansion, and solution adoption, ensuring they are accessible, trusted, and actionable. By focusing on diagnostic and predictive insights, you will help the business understand not only what is happening, but why-and what is likely to happen next.

As the Manager of Enterprise Reporting and Analytics, you will be responsible for working closely with FP&A, Business Planning, and cross-functional analytics teams to scope business needs, translate them into analytical frameworks, and deliver actionable insights and predictive analytics that drive strategic outcomes at the enterprise level.

• Drive alignment across Finance (FP&A, Business Planning), RevOps, Customer Success, Marketing, and Product to ensure consistency and standardization in how enterprise reporting and analytics are defined, delivered, and consumed
• Design and manage end-to-end data flows, process maps, and reporting frameworks that make insights accessible, consistent, and trusted across the enterprise
• Evaluate, scope, and prioritize enterprise analytics initiatives, ensuring alignment with CFO organization priorities and the broader company strategy
• Go beyond descriptive reporting to deliver diagnostic and predictive insights, with a particular focus on consumption forecasting, customer adoption trends, and expansion opportunities
• Perform sophisticated quantitative analysis and build analytical models to uncover performance drivers, predict key trends, and deliver insights that move beyond reporting to advise strategy and actionable outcomes
• Define and champion the reporting and insights strategy that empowers leaders with faster, smarter, and more actionable decision-making capabilities
• Build and maintain metadata, documentation, and transparency standards to increase usability and enable self-service analytics

• 7+ years of relevant work experience in Business Analytics, Data Modeling, Data Management, or Enterprise Reporting (SaaS experience preferred)
• Proven success conducting large-scale, sophisticated data analysis and synthesizing insights to drive strategic, forward-looking decisions
• Ability to act as a liaison business and technical stakeholders, translating analytical insights into compelling and easily digestible insights, and business concepts into data frameworks
• Hands-on experience with modern data tools:
• SQL (writing and optimizing sophisticated queries across large datasets)
• BI tools such as Tableau, Power BI, or Sigma Computing (building models, measures, and dashboards)
• dbt for modeling and transformation (Python or R for predictive analytics strongly preferred)
• Strong foundation in diagnostic and predictive analytics, with proven experience in forecasting methodologies (time series, regression, or ML-based) to anticipate consumption and customer behavior
• Familiarity with machine learning frameworks or statistical modeling techniques for predictive use cases is a plus
• Understanding of enterprise data environments, including working with structured and unstructured data at scale
• Agile, proactive, and comfortable working in ambiguity, with a track record of problem-solving and driving impact in fast paced environments
• Self-motivated and pragmatic, with a strong sense of ownership and a "get-it-done" mentality

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.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co.We will reply to your request within 24 business hours of submission.

Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster;Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)

Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People's Republic ("DNR"), and the Luhansk People's Republic ("LNR"). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.

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