Senior Engineering Intelligence Analyst

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide.

Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves.

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 sophisticated, interactive dashboards in Looker covering feature delivery

predictions, FTE allocation, resource contention, and portfolio health.

Migrate existing HTML-based dashboards to the enterprise Looker platform while preserving and

enhancing analytical depth.

answer their own questions.

Implement and analyze DORA metrics (Deploy Frequency, Lead Time, Change Failure Rate, MTTR) to

measure and improve DevOps performance.

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 robust, automated data pipelines integrating Jira (REST API, Structure exports),

Jellyfish APIs, Salesforce, and other internal systems into Google BigQuery.

Write and optimize complex SQL queries and Python scripts to extract, transform, and load data.

Page 2 of 2

Build and maintain scalable and efficient data models using LookML, establishing a "source of truth"

for engineering metrics.

Implement data quality checks, automated validation, and monitoring to ensure accuracy and

freshness with a near-real-time SLA.

Optimize query performance and data models for sub-second dashboard response times.

Analysis & Insight Support (25%)

Collaborate with engineering and product teams to analyze data from Jira and Jellyfish, providing

insights into team performance, project delivery, and resource allocation.

Engage in business analysis to understand stakeholder needs, gather requirements, and translate

them into technical specifications for data models and reports.

Support leadership in preparing executive-ready analyses and insight decks for QBRs and other

strategic reviews.

Document data lineage, calculation methodologies, and dashboard logic for transparency and

auditability.

Skills, Competencies, and Qualifications

Required

5-8 years of experience in analytics engineering, data engineering, business intelligence, or a related

technical analytics role.

Expert-level proficiency in SQL (complex joins, window functions, CTEs, performance optimization).

Proficiency in Python for data processing (e.g., pandas, requests, scheduled jobs).

Hands-on experience with Looker, including LookML data modeling, advanced dashboard design,

and performance optimization.

Experience building and maintaining ETL/ELT pipelines with REST API data sources.

Deep understanding of the software development lifecycle (SDLC), Agile methodologies, and how

engineering organizations operate.

Strong data visualization skills with a proven ability to design dashboards that tell a clear story.

Preferred

Experience with Jira APIs, Jira Structure, and the Atlassian ecosystem at scale.

Familiarity with Engineering Management Platforms like Jellyfish.

Experience with Looker and LookML.

Experience with cloud data platforms, specifically Google BigQuery.

Exposure to engineering metrics (DORA, flow efficiency, cycle time, throughput).

HTML/JavaScript skills for custom visualizations and rapid prototyping

View our privacy policy, including our privacy notice to California residents here: https://www.five9.com/pt-pt/legal.

Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.