Lead Data Analyst

Elastic
Summary
Join Elastic's Insights & Analytics team as a Lead Data Analyst and help the global Revenue teams leverage data for strategic decision-making, growth planning, and focused execution. This role blends strategic thinking, hands-on analysis, and cross-team collaboration, working closely with Sales, Customer Success, Marketing, and Finance teams. You will build dashboards and tools using SQL, dbt, and Tableau, analyze complex data, and create executive-level reporting to support sales effectiveness and revenue growth. The position requires strong analytical skills to solve complex business problems and influence data-informed decisions. You will take ownership of projects, collaborate across teams, and contribute to a data-driven culture. This role offers opportunities for professional growth in areas like predictive analytics and data architecture.
Requirements
- 6+ years of experience in data analytics, BI, or a similar role—ideally in a high-impact, fast-paced environment
- Strong SQL skills (BigQuery preferred); experience with dbt is a plus
- Proficient with data visualization tools like Tableau or Power BI. Experience with predictive analytics is a plus
- Experience working with Salesforce or similar sales data tools
- Comfortable working in Google Sheets to support quick turnaround requests
- Familiarity with B2B SaaS and a solid understanding of sales or post-sales data
- Experienced in managing complex projects with clarity and focus —you know how to prioritize, follow through, and get unblocked when needed
- Clear, proactive communicator who can explain complex ideas simply and help others make informed decisions
Responsibilities
- Build clean, scalable dashboards and tools using SQL (BigQuery), dbt, and Tableau
- Analyze complex data to answer key business questions—and turn insights into action
- Handle ad hoc asks in Google Sheets, while staying focused on big-picture, long-term impact
- Support senior leaders with clear, accurate reporting for exec and board-level needs
- Question assumptions and get to the root of the problem, not just the request
- Validate your work thoroughly and explore data anomalies with curiosity
- Take ownership of projects from start to finish—managing your own scope, priorities, and timelines
- Collaborate across time zones and teams (Sales, Field Ops, Data Engineering, and more) to ensure alignment and data consistency across data sources and reporting
- Spot data issues early and partner with the right folks to fix them at the source
- Help keep our reporting consistent and aligned across tools and teams
- Build real-world experience in Revenue Operations while learning how the business runs
- Lead high-impact projects that shape go-to-market strategy
- Grow your skills in areas like predictive analytics, data architecture, and business planning
- Work directly with senior leaders and build strong relationships across the company
- Be part of a team where your ideas and work make a visible difference
Benefits
- 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
- Elastic's stock program
- Company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings