Data Analyst - Business Insights

MetTel is a global communications solutions provider with the most complete suite of fully managed services that focus on secure connectivity, and network and mobility services. We simplify communications and networking for business and government agencies. Our customers include many of the Fortune 500, and Gartner recognizes us as an industry leader. We have the broadest portfolio of technology and integrated partnerships, as well as our private network, which we use to create tailored solutions design, deployment, and ongoing management, driving cost savings, efficiency, innovation, and the ability to focus on core objectives. We believe that each team member is a key to the success and sustainability of the group. In order to achieve this, we offer an environment where all professionals can grow and develop their skills and competencies, collaborate with diverse professionals, share knowledge and enjoy a rewarding career. As a Data Analyst, you will develop the metrics that bring consistent visibility and awareness to the stakeholders who can act on them. You will learn to distinguish between operational reporting acted on immediately and strategic reporting that shapes a business initiative, and to build each one differently. You will work directly with Claude Code (Anthropic’s AI-powered engineering tool) or equivalent as a core part of your workflow, directing it to generate and validate code while applying your own judgment on architecture and quality. You will use agentic tools to write the SQL, trace the lineage, and build the front-end pages — this is a full-stack analytics role, and you will have the opportunity to touch all of it. Role and Responsibilities KPI Definition & Governance: Work with stakeholders to turn business questions into precise metric definitions — establishing the grain, time basis, and exclusion rules, and documenting each one. Maintain the definitions as the business changes, so that “Billed Revenue” or “Overdue Task” means one thing across the company rather than four. Operational & Strategic Reporting: Build for both audiences and understand why they differ. The same underlying data serves both, but the grain, refresh cadence, and framing are not interchangeable. Business Partnership: Partner with the teams you support and learn how they operate — what they are accountable for, what decisions they make, and where they are currently flying blind. Push back when a requested metric is a vanity number, cannot be acted on, or would incentivize the wrong behavior. Reporting Ownership: Own the end-to-end reporting layer for the business units you support. Become the person those teams come to, and the person who can explain why a number looks the way it does. SQL Development & Data Lineage: Write and optimize queries against our data warehouse and maintain clear traceability from every figure on a dashboard back to its source system. When a number is challenged, you should be able to walk it back to the row it came from. Dashboard Maintenance & Development: Keep existing views accurate, performant, and resilient to upstream changes. Build new pages and views in our internal React application, following established patterns — writing the query, wiring the API layer, and implementing the front-end view. AI-Augmented Development: Use AI coding tools as a primary part of your workflow, directing them to generate and refactor code while applying your own judgment to review, test, and validate every output before it’s pushed to production. Ad Hoc Analysis & Communication: Answer one-off business questions under pressure, present findings to non-technical partners with the caveats intact, and recognize when a recurring request should graduate into a permanent dashboard. Desired Qualifications Bachelor’s degree in Economics, Finance, Data Analytics, Data Science or Computer Science. 2+ years’ experience in data analysis, data visualization, generating financial statements or dashboard creation. Working SQL proficiency. Comfortable with joins, aggregations, and grouping, and able to read a query someone else wrote and determine what it does. Window functions are a plus, not a prerequisite. Demonstrated care with numerical accuracy. When a result surprises you, your instinct should be to verify it rather than publish it. Strong written communication. Much of this role is explaining what a number means, and what it does not mean, to someone who does not work with data.