Experienced AI Data Analyst Jobs in Nakupuna Companies Alexandria, VA

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.
• Leverage machine learning (ML) and artificial intelligence (AI) techniques to construct predictive analytics models.
• Advise stakeholders on AI-driven data strategies, including the use of AWS AI tools and Power BI AI capabilities, to enhance compliance, anomaly detection, and content management.
• Advise customer in their journey to adopt AI technology.

Qualifications:

• Excellent technical, organizational, decision-making, analytical, and planning skills. Effective communicator who takes initiative and the ability to adapt to dynamic environments. In addition, the following technical skills are needed:
• Demonstrated proficiency creating, maintaining, and connecting to Microsoft SharePoint lists or other similar data sources.
• Experience with Microsoft Power BI that includes data modeling, DAX (Data Analysis Expressions), and constructing visualizations.
• Strong knowledge of Microsoft Office with specific emphasis on Access, Excel, and advanced functions.

Desired:

• Experience working with structured and unstructured data and query languages such as MySQL, PostgreSQL, or Elasticsearch.
• Experience with AWS AI/ML tools such as Amazon SageMaker, Comprehend, or Textract for analyzing structured and unstructured data.
• Familiar with programming language or machine learning such as Python or R.
• Anomaly detection in financial and operational data.
• Ensuring data integrity and compliance with federal regulations.
• Experience with risk management and fraud detection methodologies.
• Solid understanding of SQL (Structured Query Language) for data manipulation and analysis is highly desired.