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Director of Data and Analytics, Self Service Cloud

Elastic Β· United States

πŸ‡ΊπŸ‡Έ Remote (US)Manager$169,700 – $268,400/yr3d ago

At a glance

Where
Remote β€” open to applicants in the United States
Pay
$169,700 – $268,400/yr β€” as listed by Elastic
Level
Manager
Team
Data
Experience
10+ years
Posted
November 12, 2026
Last confirmed open
4m ago
At Elastic
47 open remote roles β€” mostly Sales & Business (16), Software Development (10), Marketing (6). Pay is listed on 44 of them ($65,600 – $315,900/yr).
How to apply
Directly on Elastic's own site β€” no NodJobs account needed.

About the role

This role owns data and analytics for Elastic Cloud's self-service business across Product, Growth Marketing, Web, and Documentation, including executive reporting and a single customer journey view. It is a player-coach leadership role that builds and leads a team of Data Engineers and Data Analysts.

What you'll do

  • Deliver accurate and timely business and operational insights to executive leadership covering funnel performance, revenue, and initiative impact.
  • Own the reporting cadence for the self-service business, including weekly operating reviews, monthly business reviews, and quarterly planning.
  • Build dashboards and self-serve reporting, including trusted AI-powered chat responses, to answer ad hoc analytics questions for business teams.
  • Build a single view of the customer journey across Paid Ads, Web, Documentation, and Product.
  • Solve identity resolution across anonymous and known users so the funnel can be measured end to end from first touch to paying customer.
  • Partner with Growth Marketing on attribution and channel measurement, and with Product on activation and conversion analytics.
  • Build robust data pipelines, data transformations, a well-modeled data warehouse, and BI reporting the business can rely on.
  • Set the technical architecture and tooling standards for ingestion, orchestration, transformation, and visualization.
  • Ensure data quality, freshness, and reliability with monitoring, testing, and clear SLAs.
  • Own data management and governance for the self-service business as steward of core data definitions and golden queries.
  • Establish a single source of truth for core metrics.
  • Set instrumentation and tracking standards with Product, Web, and Marketing so new data lands clean.
  • Build, scale, and lead a small distributed team of Analytics Engineers, Data Analysts, and Business Analysts.
  • Coach and develop the team and set a high bar for craft, rigor, and speed.
  • Prioritize the team against the highest-impact business questions.
  • Work with Product, Growth Marketing, Web, and Documentation teams to define metrics, instrument experiences, and answer operational questions.
  • Partner with Elastic's central Data and IT teams on shared infrastructure, data sources, and standards.
  • Act as a thought partner to the GM and functional leads on what the data says and what to do about it.
  • Coach and develop the team of Analytics Engineers, Data Analysts, and Business Analysts (covered only partially; coaching is listed, development is included).

What you'll need

  • 10+ years of data and analytics experience at B2B enterprise SaaS companies.
  • 3+ years building and leading teams of data engineers and analysts.
  • Direct experience supporting a product-led growth (PLG) motion alongside an enterprise sales motion.
  • Hands-on depth across SQL, pipeline orchestration (Airflow or similar), transformation frameworks (dbt or similar), cloud data warehouses (Snowflake, BigQuery, or similar), and BI tools (Looker, Tableau, or similar).
  • Experience with product and web analytics tools (Amplitude, Google Analytics, or similar) and marketing attribution.
  • Proven track record building a single view of the customer across marketing, web, and product data, including identity resolution.
  • Experience establishing data governance: metric definitions, golden queries, instrumentation standards, and data quality practices.
  • Strong business sense to translate executive questions into analysis and analysis into decisions.
  • Excellent written and verbal communication skills, from executive presentations to technical detail.
  • Bias for action and comfort with ambiguity, energized by building systems that don't exist yet.

Benefits listed by Elastic

  • Stock program eligibility
  • 401(k) with dollar-for-dollar company match up to 6% of eligible earnings
  • Health coverage for you and your family in many locations
  • Flexible locations and schedules for many roles
  • Generous vacation days each year
  • Donation and volunteer matching
  • Minimum of 16 weeks of parental leave

Tools & skills mentioned

SQLAirflowdbtSnowflakeBigQueryLookerTableauAmplitudeGoogle Analytics

Summarized by NodJobs from Elastic's posting. Read the full posting on Elastic's site β†’

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