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Data Analyst Specialist

Accenture - Arlington, VA

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Job Description

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people.Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company and part of global Accenture, to do work that matters in a collaborative and caring community, where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward As a Data Analyst Specialist on the Innovation and Automation team, you will serve as an internal consultant, applying your analytical expertise to our own engineering and operational processes. Your mission is to use data to find, quantify, and track opportunities for innovation and automation. You will analyze data from our CI/CD pipelines, system logs, code repositories, and project management tools to uncover bottlenecks, identify repetitive tasks, and measure the impact of the automation solutions our team builds. This is a hands-on role for an analyst who wants to use their skills to make our technical teams faster, more efficient, and more reliable. Responsibilities: + Analyze operational and engineering data (e.g., CI/CD logs, application performance metrics, data pipeline runtimes, Jira data) to identify trends, inefficiencies, and opportunities for automation. + Develop and maintain a suite of dashboards and reports in tools like Tableau or Power BI to visualize key performance indicators (KPIs) for engineering efficiency, platform health, and delivery velocity. + Partner with the Automation Lead and engineers to provide a data-driven basis for prioritizing new automation initiatives. + Perform

Created: 2025-12-04

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