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# Business Intelligence Analyst (REMOTE)

- **Company:** Koniag Services, Inc.
- **Location:** Washington, DC, United States
- **Experience:** Experienced
- **Salary:** $120,000 - $130,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Extract Transform Load (ETL), Data Mining, Data Visualization, Data Warehousing, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Information Technology, Programming Languages
- **Published:** October 25, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4de4740946a7ffb5

## About the Role

We are seeking a highly motivated and analytical Business Intelligence (BI) Analyst to join our team. In this role, you will leverage your data expertise to uncover valuable insights, drive data-informed decision-making, and contribute to the overall growth of the company., * Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.

Experience:

 * 2+ years of experience in a BI Analyst or similar role.

Skills:

 * Strong proficiency in SQL for data extraction and manipulation.
 * Experience with data visualization tools (e.g., Power BI, Tableau).
 * Familiarity with ETL processes and data warehousing concepts.
 * Knowledge of programming languages (e.g., Python, R) is a plus.
 * Strong communication and presentation skills.
 * Ability to collaborate effectively with cross-functional teams.
 * Understanding of AI and ways to implement it would be optional

Security Requirement:

 * Ability to obtain a Public Trust

## Description

* Collect, process, and analyze large datasets from various sources.
 * Develop and maintain complex data models, reports, and dashboards using BI tools (e.g., Power BI, Tableau).
 * Identify trends, patterns, and correlations in data to uncover actionable insights.
 * Create compelling visualizations that effectively communicate findings to stakeholders.
 * Partner with cross-functional teams to understand business needs and translate them into data requirements.
 * Collaborate with stakeholders to define key performance indicators (KPIs) and metrics.
 * Present findings and recommendations to both technical and non-technical audiences.