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Elastic

Searches enterprise data and monitors systems

Director of Data and Analytics - Self Service Cloud

Data Engineering +1Posted on Nov 12
Full-timeRemote in USA$169.7k - $322.6kRemote

About the Job

Requirements

  • At least 10 years of data and analytics experience at B2B enterprise software-as-a-service companies, including at least 3 years building and leading teams of data engineers and analysts.
  • Direct experience supporting a product-led growth motion alongside an enterprise sales motion.
  • Hands-on experience with SQL, pipeline orchestration tools such as Airflow, transformation frameworks such as dbt, cloud data warehouses such as Snowflake or BigQuery, and business intelligence tools such as Looker or Tableau.
  • Experience with product and web analytics tools such as Amplitude or Google Analytics, and with marketing attribution.
  • A track record of building a single view of the customer across marketing, web, and product data, including identity resolution.
  • Experience establishing data governance, including metric definitions, golden queries, instrumentation standards, and data quality practices.
  • Ability to translate executive questions into analysis and analysis into decisions.
  • Strong written and verbal communication skills, including executive presentations and communication of technical detail.
  • Ability to act decisively and work effectively amid ambiguity while building new systems.

Responsibilities

  • Deliver accurate and timely business and operational insights to executive leadership on funnel performance, revenue, and initiative impact.
  • Own the self-service business reporting cadence, including weekly operating reviews, monthly business reviews, and quarterly planning.
  • Answer business teams’ ad hoc analytics questions by building dashboards and self-service reporting through trusted AI-powered chat responses.
  • Build a single view of the customer journey across paid advertising, web, documentation, and product touchpoints.
  • Resolve identities across anonymous and known users to measure the funnel from first touch through 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 dependable business intelligence reporting.
  • Set technical architecture and tooling standards for data ingestion, orchestration, transformation, and visualization.
  • Ensure data quality, freshness, and reliability through monitoring, testing, and clear service-level agreements.
  • 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 is collected cleanly.
  • Build, scale, and lead a small distributed team of analytics engineers, data analysts, and business analysts.
  • Coach and develop the team, set expectations for craft, rigor, and speed, and prioritize its work against high-impact business questions.
  • Work with Product, Growth Marketing, Web, and Documentation teams to define metrics, instrument experiences, and answer operational questions.
  • Partner with central Data and IT teams on shared infrastructure, data sources, and standards.
  • Advise the general manager and functional leads on what the data indicates and resulting actions.

About the Company

Elastic

Searches enterprise data and monitors systems

Elastic builds search, observability and security software for developers, IT operations teams and security analysts. Elasticsearch indexes enterprise data so applications can retrieve records, while Kibana gives teams dashboards for exploring results and investigating system activity. Customers use the tools to search business information, monitor applications and infrastructure, and investigate threats across their data. Elastic sells managed cloud services and self-managed subscriptions, with resource-based hosted pricing, usage-based serverless pricing and licenses tied to nodes and memory. Founded in 2012, Elastic lists San Francisco, California, as its headquarters.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2012

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