Senior Engineering Intelligence Analyst

Senior Engineering Intelligence Analyst

Role Summary 

We are looking for a hands-on analytics engineer to build, maintain, and evolve Five9's engineering intelligence platform. You will be the technical engine behind a growing function that provides data-driven insights to engineering leadership across a portfolio of 1,000+ features and $100M+ in engineering investment. You will work with data from Jira, Jellyfish, Salesforce, and other systems to build automated pipelines, interactive dashboards, and analytical tools that enable faster, smarter decisions.

This role is ideal for someone who combines strong data engineering fundamentals with a passion for making data accessible and actionable — someone who gets excited about building a pipeline as much as crafting a clear visualization.

Responsibilities

Dashboard Development & Maintenance (40%)

• Build and maintain interactive dashboards in Looker (BI platform) 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 that engineering leaders can explore without analyst support
• Implement alerting and anomaly detection to proactively surface risks (e.g., feature slippage, resource over-allocation, stale work items)

Data Engineering & Integration (35%)

• Build and maintain data pipelines integrating Jira (REST API, Structure exports), Jellyfish APIs, 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 to ensure accuracy and freshness
• Optimize query performance and data models for sub-second dashboard response times
• Manage API rate limits, authentication, incremental syncs, and error handling for all data source integrations

Analysis & Insight Support (25%)

• 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 that can be refreshed with new data each cycle
• Document data lineage, calculation methodologies, and dashboard logic for transparency and auditability

Skills, competencies and qualifications

Required

• 4-7 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

Preferred

• 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

Key stakeholders include:

• Engineering Service Owners
• Engineering Operations, Delivery Managers, Technical Program Managers
• Product Managers and Product Operations