Lead Data Analyst, Elastic
Sales Strategy & Finance
$89.1-168.9k
Salary dependent on location + Equity
Open source platform powering search, observability, security, and more
Job no longer available
Open source platform powering search, observability, security, and more
1001+ employees
Job no longer available
$89.1-168.9k
Salary dependent on location + Equity
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- 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
What the job involves
- We’re looking for a Lead Data Analyst to join the Insights & Analytics team at Elastic
- You’ll help shape how our global Revenue teams use data to make smart decisions, plan for growth, and stay focused on what matters
- This role is a mix of strategy, hands-on analysis, and cross-team collaboration
- You’ll work closely with Sales, Customer Success, Marketing, Finance, and more—bringing data to life and helping teams see the story behind the numbers
- We work across a wide range of tools and datasets — from dashboards and forecasts to detailed analytical deep dives — helping the business stay focused, aligned, and data-informed
- To support our growth and enable us to scale efficiently, we are seeking an exceptional Lead Data Analyst to drive sales strategy, planning, reporting, and analysis efforts
- In this position, you will play a strategic role in driving data-informed decision-making across Elastic’s Global Revenue Operations organization and broader go-to-market ecosystem
- You will lead high-impact analysis and develop scalable, executive-level reporting to support sales effectiveness, pipeline optimization, and revenue growth
- You’ll use your strong analytical skills to break down complex business problems and help teams make smarter decisions
- Your insights will shape how we plan, operate, and improve over time
- 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
Our take
Organizations are dealing with exploding data volumes increasingly sophisticated cyber threats, and the growing expectation tha ttechnology should help act on problems, not just report them. Ai is moving from experimentation into real operations, especially in security and observability where speed and context are critical. So now, both enterprises and governments are looking for simpler, shared platforms that sale easily and reduce complexity rather than add to it.
And Elastic sits at the intersection of these needs with its Search AI Platform that helps organizations turn large amounts of structured and unstructured data into clear insights and actiontions across search, security, and observability. Elastic's strength lies in its open, flexible approach, which breaks down data silos and provides a context people and AI systems need to make daster, better decisions. The goal is straightforward: help teams see what's happening, understand it quickly, and respond confidently.
Recently, the company worked with CISA to deliver a unified, cloud-based SIEM for US federal agencies, this highlights strong trust in Elastic's security and scalability. Alongside this, its AWS Agentic AI Specialization also reflects leadership in making autonomous AI system practical and reliable. Together, these milestones position Elastic well for the future, as organizations increasingly rely on shared platforms and intelligent systems to manage ris, complexity, and growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2016
$58m
SERIES D
Jun 2014
$70m
SERIES C
Total funding: $162m
Company benefits
- Toast to your health: Fully paid health coverage for you and your family, in many locations.
- Craft your calendar: Flexible location and schedule for most roles.
- Create space for you: Distributed by design workforce, plus generous number of vacation days each year.
- Embrace parenthood: Minimum of 16 weeks of parental leave, plus generous family formation benefits.
- Give back your time: 40 hours each year to use toward volunteering with organizations and causes you’re passionate about.
- Amplify your impact: Double your charitable giving — we match donations up to $1500 USD (or local currency equivalent).
Company HQ
Union Square, San Francisco, CA
Leadership
Ashutosh Kulkarni
(CEO)Ashutosh joined Elastic in 2021 as CPO, becoming CEO in 2022. Prior to this, he was an EVP and CPO of Enterprise at McAfee, a Senior VP and GM of Web Performance and Web Security at Akamai Technologies, and a Senior VP and GM of Informatica Cloud at Informatica.
Shay Banon
(Co-Founder & CTO)Shay co-founded Elastic in 2012 and has served as the CTO since.
Navam Welihinda
(CFO)Prior to joining Elastic in 2025, Navam was the CFO at Grammarly. He also spent nearly 8 years at HashiCorp as VP of Finance and CFO and was the Head of Finance, Compose at IBM for 1 year.
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