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Monthly
€8,681 - €9,404
Posted August 17, 2026 · 1 day agoLast seen August 17, 2026Deadline September 30, 2026

Business Intelligence Lead

Business Intelligence (BI) Lead
Austin, United States
Remote · Data & Analytics
Full-time · Senior
English
No People Management
Bachelor
3 years experience
How this salary compares
Salary Context: Business Intelligence Lead

Hover or tap a row for full statistics (EUR / month on this chart).

Salary analysis

Compared with the selected benchmark ("All roles in Austin, United States"), this listing's salary midpoint is about 5% lower. The offer still falls within the benchmark range (€8,681–€13,311). The listed pay band (€10,000–€10,833) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 2 comparable listings.

Monthly salary comparison for Business Intelligence Lead
MarketLower bound (25th percentile)MedianUpper bound (75th percentile)
All roles in Austin, United States€8,681/per month€10,996/per month€13,311/per month
From job ad (Senior)€10,000/per month€10,417/per month€10,833/per month
About the role

Role Description: As an AI Tech BI Lead, you will serve as the analytical and quantitative engine of the organization. You will leverage Google's internal analytics infrastructure to design dashboards, automate data pulls, and perform deep-dive analyses. Collaborate with Strategy & Operations, Engineering leadership, and Go-To-Market teams to define canonical metrics, track engagement ROI, and monitor AI transformation velocity. Build self-service BI tools, conduct bespoke quantitative studies, and translate datasets into clear narrative reporting for leadership. Responsibilities include dashboard architecture, SQL data pulls, ETL pipelines, ad-hoc analyses, metric governance, executive storytelling, and self-service enablement.

Job Details

Responsibilities

  • Design, develop, and maintain BI dashboards and reporting suites.
  • Write complex SQL queries across internal data repos.
  • Build and maintain ETL pipelines.
  • Perform ad-hoc analyses and governance of metrics.
  • Present executive-level insights and storytelling.

Requirements

  • Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, Information Systems, or equivalent practical experience.
  • 8+ years of relevant experience in BI, Data Analytics, or quantitative analysis.

Skills & Technologies

SQLLookerTableauPower BIETLDashboards

Education Level

Bachelor

Recruitment Process

  1. 1
    Screening
  2. 2
    Technical interview
  3. 3
    HR interview
  4. 4
    Offer
Seen 9 hours agoPartial Schema
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