Analytics & AI Solutions Analyst (Junior)

Nightwing • Dulles, VA

4d

About The Position

If you’re early in your analytics career and enjoy working with data, learning new tools, and experimenting with AI, this role is a great opportunity to grow. You’ll support our analytics and automation work across Nightwing by helping build dashboards, assisting with data pipelines, and contributing to AI‑enabled workflows. You’ll work closely with more experienced data engineers and analysts who will guide you as you learn.

Requirements

• Bachelor’s degree in information systems, Data Analytics, Computer Science, or a related field (or equivalent hands‑on experience)
• Exposure to analytics, data, or IT work — internships, class projects, or 1–2 years of professional experience are welcome
• Basic familiarity with Power BI or other BI tools (even if just academic or entry‑level experience)
• Interest or early experience with ETL/ELT tools such as Azure Data Factory, Airbyte, or dbt
• Curiosity about workflow automation tools (n8n, Power Automate, Logic Apps, Make.com)
• Understanding of SQL fundamentals and APIs is helpful
• Willingness to learn, ask questions, and collaborate with both technical and non‑technical teammates

Nice To Haves

• Exposure to Python or JavaScript, at a beginner level
• Familiarity with tools like Airflow or Prefect
• Curiosity about vector databases, embeddings, or semantic search technologies
• Interest in cloud platforms such as Azure, AWS, or GCP

Responsibilities

• Support the development of AI‑powered components using tools like Azure OpenAI, Microsoft Copilot Studio, or other AI platforms
• Help create simple AI‑assisted workflows for tasks such as document processing, summarization, or classification
• Assist in connecting data sources, APIs, and workflow components under the guidance of senior team members
• Build and update dashboards and reports using Power BI
• Help maintain workflow automations using tools such as n8n, Power Automate, Logic Apps, or similar
• Support ETL/ELT processes with tools like Azure Data Factory, Airbyte, or dbt.
• Perform basic data validation, troubleshooting, and documentation for dashboards, pipelines, and AI workflows
• Stay curious about new AI features and tools and share ideas on how we might improve our processes

Benefits

• A supportive environment to grow your skills in analytics, automation, and AI
• Opportunities to work with modern tools and learn from experienced team members
• The chance to experiment, build, and contribute to meaningful data‑driven solutions

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level