AI Data Analyst at Nakupuna Companies in Alexandria, Virginia, United States

AI Data Analyst at Nakupuna CompaniesAlexandria, Virginia, United States — full-time

Overview

Nakupuna Consulting is seeking a Data Analyst with Artificial Intelligence experience to join our team of consultants providing professional services to the Defense POW/MIA Accounting Agency (DPAA) Information Technology Directorate. The Data Analyst will work directly with DPAA’s Chief Information Officer (CIO) to effectively transform raw data into meaningful insights, shaping business decisions thereby supporting strategic initiatives for the client. Utilizing business intelligence tools, the Data Analyst will consolidate data, build data models, and present findings in compelling ways. In addition, the Data Analyst will provide the customer training and guidance around selecting AI technology tools and implementing AI technology. This role will also require general oversight of compliance needs across the customer’s IT Division: thus, experience with analyzing datasets for anomaly detection, fraud detection, and risk assessments are highly desirable. The best candidate for this role will be capable of polished, confident, and effective communication with executive level customers, as well as be someone who can self-organize, follow-through, and report on multiple parallel work streams.

Responsibilities

The following reflects management’s definition of essential functions for this job but does not restrict the tasks that may be assigned. Management may assign additional duties and responsibilities to this job at any time.

Lead the development of data models and dashboards using Power BI as the primary analytics platform, ensuring alignment with the organization's data strategy before considering external tools.
Interpret high-level, executive-stakeholder data calls and initiatives into actionable requirements.
Work with stakeholders, technicians, and other agencies to collect required data.
Organize complex datasets into dashboards, graphs, or other reporting types to deliver insights for users.
Provide technical support to inquiries including but not limited to troubleshooting data refresh issues, triaging new feature requests, and managing user report access.
Develop and maintain documentation including Standard Operating Procedures (SOPs), diagrams, user guides, and presentations.
Perform root cause analysis on processes and data to identify opportunities for improvement.
Monitor and analyze key performance indicators (KPIs) to ensure goals are achieved.
Use advanced mathematical and statistical methods to identify patterns and trends in complex datasets.