Senior Engineering Intelligence Analyst
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Job Description
Senior Engineering Intelligence Analyst building Looker dashboards and data pipelines for Five9’s cloud contact center software. Enabling engineering leaders to make faster, data-driven portfolio decisions.
Responsibilities:
- Build and maintain interactive dashboards in Looker covering feature delivery predictions, FTE allocation, resource contention, and portfolio health
- Migrate existing HTML-based dashboards to the enterprise BI platform while preserving and enhancing analytical depth
- Design intuitive, self-service visualizations for engineering leaders
- Implement alerting and anomaly detection to surface risks
- Build and maintain data pipelines integrating Jira, Jellyfish, Salesforce, and other internal systems
- Write Python and SQL to extract, transform, and load data into a central analytics data store
- Implement data quality checks, automated validation, and monitoring
- Optimize query performance and data models for sub-second dashboard response times
- Manage API rate limits, authentication, incremental syncs, and error handling
- Support the Senior Leader in preparing executive-ready analyses and insight decks
- Perform ad-hoc analyses on feature delivery trends, team capacity, engineering investment patterns, and cycle time drivers
- Build reusable analytical templates and frameworks
- Document data lineage, calculation methodologies, and dashboard logic
- Collaborate with Engineering Service Owners, Engineering Operations, Delivery Managers, Technical Program Managers, Product Managers, and Product Operations
Requirements:
- Minimum 5 years of experience in analytics engineering, data engineering, business intelligence, or a related technical analytics role
- Strong SQL skills (complex joins, window functions, CTEs, performance optimization)
- Proficiency in Python for data processing (pandas, requests, scheduled jobs)
- Hands-on experience with Looker BI tool including data modeling, dashboard design, and performance optimization
- Experience building and maintaining ETL/ELT pipelines with REST API data sources
- Familiarity with Jira and strong understanding of software delivery lifecycle, Agile methodologies, and how engineering organizations operate
- Strong data visualization skills — ability to design dashboards that tell a clear story, not just display numbers
- Excellent attention to data quality, accuracy, and documentation
- Experience with Jira APIs, Jira Structure, Atlassian ecosystem at scale
- Familiarity with Jellyfish, or similar engineering management platforms
- Experience with Salesforce data extraction (SOQL, reports API)
- Cloud data platform experience (BigQuery)
- Exposure to engineering metrics (DORA, velocity, cycle time, throughput)
- HTML/JavaScript skills for custom visualizations and rapid prototyping
- Experience in SaaS or enterprise software environments
Benefits:
- Five9 team-first culture
- Inclusive environment that empowers employees to be their authentic selves
- Equal opportunity employer
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