Data Analyst ID61986

AgileEngine•Aurora, CO

23h•Hybrid

About The Position

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. We are looking for a Senior/Lead Data Analyst to turn large, complex datasets into clear insights that inform decisions across the business. You will write advanced SQL queries against Snowflake, build dashboards in tools like Tableau or Power BI, and present findings to both technical and non-technical stakeholders. The role is focused on analysis and visualization — not data engineering or model development — and actively incorporates AI copilots to accelerate query generation and data exploration. Strong data quality instincts and the ability to work independently across cross-functional teams are essential.

Requirements

4+ years of experience with Python, Node.js, or Java
Hands-on experience with API integrations
Strong experience working in Kubernetes environments
Experience with Datadog or similar tools such as Prometheus and Grafana
Ability to configure dashboards, alerts, and APM
Experience monitoring containerized and microservices architectures
Hands-on experience with AWS
Experience integrating observability tools into cloud environments
Experience with CI/CD integrations for observability
Ability to automate monitoring and operational tasks using scripting
Upper-intermediate English level

Nice To Haves

Experience owning and operating an internal engineering platform, especially observability platforms
Demonstrated ownership of reliability, scalability, and performance
Ability to proactively lead maintenance efforts and platform improvements
Experience installing and configuring Datadog agents and integrations
Experience managing API keys and secure configurations
Experience managing user roles and access controls within observability platforms
Familiarity with Go (Golang)
Experience with additional observability tools such as New Relic, Dynatrace, Elastic Stack, or Splunk Observability Cloud

Responsibilities

Design, build, and maintain scalable backend and platform components
Implement and manage observability solutions across distributed systems
Configure dashboards, alerts, and APM (tracing, metrics, logging)
Monitor and improve system reliability, scalability, and performance
Deploy, operate, and maintain services in Kubernetes environments
Integrate observability tools into CI/CD pipelines and cloud infrastructure
Automate monitoring and operational workflows using scripting
Provide operational and training support for observability platforms, especially Datadog
Collaborate with engineering teams to improve system visibility and reliability practices