Alteryx
Sr.EngineeringInsightsAnalyst
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Engineering Insights Analyst at Alteryx. Skills: Data Analysis, SQL, Python, BI Tools (Superset, Tableau, Looker), Engineering Metrics, SDLC Analysis, Reliability Metrics, Cost Efficiency Analysis. Transform engineering signals into insights to improve software quality, productivity, reliability, and cost efficiency.. Analyze data from across the software development lifecycle (SDLC), from pull requests and CI/CD pipelines to service reliability metrics and incident management.”
What You'll Achieve.
Engineering leaders have clear dashboards showing service health and engineering productivity.; Reliable metrics exist for SDLC performance and operational health.; Engineering leadership can easily track reliability, quality, and adoption of platforms.; Engineering decisions become data-driven.; Operational risks are surfaced early through metrics.; Platform investments can be evaluated through measurable adoption.; The organization develops a shared understanding of engineering effectiveness.
Industry & Context.
Analytical thinking; Ability to translate ambiguous questions into measurable metrics
Position involves access to software/technology subject to U.S. export controls. Any job offer made will be contingent upon the applicant’s capacity to serve in compliance with U.S. export controls.
What They're Looking For.
Must Have
SQL skills, Experience using Python for data analysis or pipelines, Experience building dashboards in Superset, Tableau, Looker, or similar BI tools, Experience working with complex operational datasets, Familiarity with data modeling and metric definitions, Comfortable working with engineering concepts such as: Pull Requests (PRs), CI/CD pipelines, Software Development Lifecycle (SDLC), Service Level Objectives (SLOs), Incident management, Escalation tickets, Service reliability metrics, Analytical thinking, Ability to translate ambiguous questions into measurable metrics, Ability to communicate insights clearly to technical and leadership audiences, Attention to data quality and metric consistency
What You'll Do.
Transform engineering signals into insights to improve software quality
Analyze data from across the software development lifecycle (SDLC)
from pull requests and CI/CD pipelines to service reliability metrics and incident management.
Translate data into dashboards and insights that guide engineering leaders.
Create data products used daily by engineering leaders
including engineering health dashboards
service reliability dashboards
operational insights for engineering managers
executive views of engineering performance
and adoption dashboards for internal platforms.
Write advanced SQL queries to analyze engineering data.
Build lightweight Python pipelines to aggregate and process signals.
Integrate data from sources such as Git repositories (PRs
incident management systems
observability platforms
and cost management tools.
Ensure engineering metrics are accurate
and trusted across the organization.
Identify bottlenecks in the development process.
Detect reliability risks early.
Understand operational load across teams.
Measure whether internal platform investments are working.
Connect engineering activity with infrastructure costs.
Translate complex datasets into clear insights and recommendations for engineering leadership.
Define consistent engineering KPIs and ensure teams are producing the right operational data.
How You'll Work.
Team & Collaboration
Deep collaboration with engineering teams.; Work closely with engineering managers, platform and infrastructure teams, DevOps / SRE, FinOps, and engineering leadership.; Help define consistent engineering KPIs and ensure teams are producing the right operational data.
Communication Scope
Ability to communicate insights clearly to technical and leadership audiences
Full Job Description
**Meet the Moment with Alteryx** We're living through a once-in-a-generation shift in how work gets done. Data, automation, and AI are quickly becoming the center of every business decision - and Alteryx is leading the transformation. You'll be working on the challenges that sit at the heart of modern business. No matter your role, the work you do will help organizations move faster, see more clearly, and tackle questions that used to feel impossible. If you're ready to meet the moment with innovation, curiosity, and excellence, there's a place for you here. Alteryx is searching for an **Sr. Engineering Intelligence Analyst** (Engineering Insights Team). This position is remote-friendly. **Position Overview:** We are building a data-driven understanding of how our engineering organization operates, and we’re looking for a Data Analyst focused on Engineering Intelligence to help us do it. This role sits at the intersection of engineering, data, and operational excellence. Your mission is to transform engineering signals into insights that help us improve software quality, productivity, reliability, and cost efficiency. You will analyze data from across the software development lifecycle (SDLC), from pull requests and CI/CD pipelines to service reliability metrics and incident management, and translate it into dashboards and insights that guide engineering leaders. If you are passionate about understanding how engineering organizations work and how they can improve, this role is for you. **What You’ll Work On:** _Engineering Effectiveness & SDLC Metrics_ _You will help measure and improve how our engineering organization builds and operates software. Examples of metrics you will analyze include:_ * Development & productivity * Pull request volume and cycle time * Code review latency * Deployment frequency * Lead time for changes * Change failure rate * Reliability & operations * SLO / SLA performance * Incident and escalation patterns * Engineering quality * Defect tr
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