Director of Data and Analytics, Self Service Cloud

Bazeta; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Elastic, the Search AI Company, seeks a Head of Data and Analytics for Elastic Cloud’s self-service business. You will own data strategy, build robust pipelines, a data warehouse, and BI reporting, and lead a distributed team of analytics engineers and analysts.

You will deliver accurate executive insights, establish a single source of truth, and partner with Product, Growth Marketing, Web, and Documentation to measure funnel performance and activation across channels.

Qualifications

• 10+ years of data and analytics experience at B2B enterprise SaaS companies.
• 3+ years leading teams of data engineers and analysts.
• Hands-on depth across the modern data stack: SQL, pipeline orchestration (Airflow), transformation frameworks (dbt), cloud data warehouses (Snowflake/BigQuery), and BI tools (Looker/Tableau).
• Experience building a single view of the customer across marketing, web, and product data.
• Experience establishing data governance: metric definitions, golden queries, instrumentation standards, and data quality practices.

Responsibilities

• Trusted executive reporting: deliver timely insights to leadership for business decisions.
• Single customer journey view: end-to-end measurement across marketing, web, and product data.
• Reliable data platform: robust pipelines, warehouse, and BI reporting the business can rely on.
• Data governance: establish a single source of truth for core metrics and data definitions.
• Lead and develop a team of Analytics Engineers and Data Analysts with a focus on craft and speed.

Skills

Data analytics

Leadership

Governance

Identity resolution

Tools

SQL

Airflow

dbt

Snowflake

BigQuery

Looker

Tableau

Job description

# Director of Data and Analytics, Self Service CloudUnited States4 hours agoID 5840135Price on request## DetailsEmployment type: Full-timeRemote: YesCompany: Elastic## DescriptionElastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We’re looking for a Head of Data and Analytics to own data and analytics for Elastic Cloud’s self-service business, spanning Product, Growth Marketing, Web, and Documentation. You’ll be accountable for delivering accurate and timely business and operational insights to executive leadership, and for building a single view of the customer journey across Elastic’s self-service touchpoints – Paid Ads, Web, Documentation, and Product. This is a player-coach role that spans strategy, team building, and hands-on technical work. You’ll build robust data pipelines, transformations, a data warehouse, and BI reporting; own data management and governance as the steward of core data definitions and golden queries; and build and scale a team of Data Engineers and Data Analysts. What You Will Be Doing • Business Insights & Executive Reporting • 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 – weekly operating reviews, monthly business reviews, and quarterly planning • Help business teams answer ad hoc analytics questions through building dashboards and through building self-serve reporting via trusted AI-powered chat responses Single View of the Customer Journey • Build a single view of the customer journey across Elastic’s self-service touchpoints – 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 Data Engineering & Platform • 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 Data Management & Governance • Own data management and governance for the self-service business, acting as the 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 Team Leadership • Build, scale, and lead a small distributed team of Analytics Engineers, Data 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 Cross-Functional Collaboration • Work with Product, Growth Marketing, Web, and Documentation teams to define metrics, instrument experiences, and answer their 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 What You’ll Drive • Trusted executive reporting : accurate, timely business and operational insights leadership uses to run the business • Single customer journey view : end-to-end measurement across Paid Ads, Web, Documentation, and Product • Reliable data platform : robust pipelines, warehouse, and BI reporting the business can build on • Data governance : a single source of truth for core data definitions and golden queries • Team performance : a high-performing team of Data Engineers and Data Analysts with repeatable practices What You Bring • 10+ years of data and analytics experience at B2B enterprise SaaS companies, with 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 (e.g., Datadog, MongoDB, Atlassian, Confluent) • Hands-on depth across the modern data stack: 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: able 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 Compensation for this role is in the form of base salary. This role does not have a variable compensation component.... Source: Jobspresso (https://jobspresso.co/job/director-of-data-and-analytics-self-service-cloud/)This listing comes from a partner feed. Apply on the source website.