Enterprise Data and Analytics Manager @ Elastic
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About Elastic
Elastic, the Search AI Company, enables everyone to find answers in real time using all their data at scale. Their Elastic Search AI Platform powers more than 50% of the Fortune 500, blending advanced search with the intelligence of AI to drive impactful business decisions.
Role Overview
The Enterprise Data and Analytics Manager is a hands-on leader responsible for shaping enterprise reporting and analytics across the organization. Working within the CFO organization, you will deliver actionable insights and predictive analytics to inform strategic decision-making.
Key Responsibilities
- Drive alignment across finance, RevOps, Customer Success, Marketing, and Product.
- Design and manage data flows, process maps, and reporting frameworks.
- Evaluate, scope, and prioritize enterprise analytics initiatives.
- Deliver diagnostic and predictive insights to guide strategy.
- Maintain metadata, documentation, and transparency standards for self-service analytics.
What You Bring
- 7+ years in Business Analytics, Data Modeling, or Enterprise Reporting.
- Expertise in modern data tools including SQL, BI tools, and dbt.
- Proven ability in quantitative analysis and forecasting methodologies.
- Experience collaborating between technical and business stakeholders.
Compensation & Benefits
This role offers a competitive base salary with eligibility for Elastic's stock program, comprehensive health coverage, flexible work schedules, and generous vacation time. Additional benefits include a company-matched 401k, parental leave, and volunteer project hours.
Key skills/competency
- Enterprise Reporting
- Data Analytics
- Predictive Analytics
- Business Intelligence
- SQL
- Data Visualization
- Forecasting
- Data Modeling
- BI Tools
- Strategic Insights
How to Get Hired at Elastic
🎯 Tips for Getting Hired
- Customize your resume: Tailor experience to Elastic's data requirements.
- Highlight analytics skills: Emphasize SQL, BI expertise, and forecasting.
- Network on LinkedIn: Connect with Elastic employees for insights.
- Prepare case studies: Demonstrate past strategic impact with data.