Business Intelligence Analyst ID61986
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. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE 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. WHAT YOU WILL DO - 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. MUST HAVES - 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. PERKS AND BENEFITS - Professional growth: Mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation: USD-based pay with education, fitness, and team activity budgets. - Exciting projects: Modern solutions with Fortune 500 and top product companies. - Flextime: Flexible schedule with remote and office options. Apply To This Job