Enterprise Data and Analytics Manager
@ Elastic

Hybrid
$135,000
Hybrid
Full Time
Posted 22 days ago

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Job Details

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
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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.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query optimization techniques.
Practice building dashboards in Tableau or Power BI.
Study forecasting and regression analysis.
Familiarize with dbt and Python for analytics.

Behavioral Questions

Describe a time you led cross-team projects.
Explain handling challenging analytics problems.
Discuss how you prioritize conflicting tasks.
Share an example of translating data to strategy.

Frequently Asked Questions