Power Platform Analytics Engineer

🕒 July 22

🏛️ District of Columbia, Washington – Remote

🏛️ District of Columbia – Remote ☕ Washington – Remote

💵 $100.2k - $203.4k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

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Accenture Federal Services

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2017

💼 Consulting

🎖️ Defense

📦 Logistics

Consulting • Defense • Logistics

Accenture Federal Services is a division of Accenture that focuses on delivering technology and consulting services to the U. S. federal government. With capabilities in cloud, cybersecurity, data and artificial intelligence, digital engineering, and emerging technologies, Accenture Federal Services supports federal agencies in achieving mission-critical outcomes through innovation and technological advancement. The company emphasizes building secure, scalable solutions, enhancing decision-making with data-driven insights, and transforming digital infrastructures to meet complex governmental needs. By leveraging advanced R&D and human-centered design, they aim to improve the performance and resilience of government operations.

📋 Description

• Support the development and maintenance of database solutions and application components based on provided designs. • Assist with the implementation of internal APIs and ETL processes using tools like Power Automate, Python, and Azure Data Factory. • Help manage integrations with external APIs and configure data security measures under senior guidance. • Develop, maintain, and enhance interactive dashboards and reports using Power BI. • Occasionally contribute to front-end application development using JavaScript/TypeScript and React. • Assist in applying analytics and AI functionalities using AI Builder, Azure OpenAI, and Azure AI Search. • Support the team’s DevOps process by helping to manage and execute deployment pipelines in Azure DevOps. • Prepare and maintain technical documentation for all implemented solutions.

🎯 Requirements

• A solid understanding of the data science toolkit, including the difference between prediction and inference, various modeling techniques, and their tradeoffs. Familiarity with generative AI concepts and their practical application. • Proficient with Power BI for creating, publishing, and maintaining complex reports and data models. • Dataverse • Power Automate • Python (for scripting and testing) • Azure Data Factory • JavaScript / TypeScript (Nice to have) • React (Nice to have) • Familiarity with concepts like Security Roles (data access), OAuth (external API), and Entra ID (tool connections). • Experience with or exposure to AI Builder, Azure OpenAI, and Azure AI Search. • Experience with CI/CD pipelines in Azure DevOps.

🏖️ Benefits

• We offer 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.