Power BI / Data Analyst
Job Description
Job Title: Power BI / Data Analyst
Location: Vienna, VA
Contract
Position Summary:
The Power BI / Data Analyst plays a critical role in driving data-informed decision-making across the organization by delivering trusted analytics, enabling self-service capabilities, and enhancing organizational reporting maturity. Operating within a financial and enterprise context, this role works in close alignment with the Lead IT Systems Administrator, Data Engineer, Security Analyst, Lines of Business (LOBs), and Compliance/Risk teams to ensure infrastructure readiness, data security, and business driven insight delivery.
The ideal candidate combines technical expertise, business acumen, and emerging AI/ML literacy, ensuring that analytics solutions are accurate, secure, and actionable while contributing to SourceAmerica’s growing use of artificial intelligence for decision intelligence, customer insight, and risk oversight.
Key Tools & Skills
* Power BI Desktop & Service
* DAX & Power Query (M language)
* SQL for querying source systems
* Enterprise data platforms (Azure Fabric, Snowflake, etc.)
* Advanced Excel for supplemental analysis
* Visualization, storytelling, and executive communication
* Understanding of AI/ML concepts (predictive modeling, natural language querying, Copilot tools)
* Familiarity with data security and regulatory compliance (GLBA, SOC 2)
Required Qualifications:
Bachelor’s degree in Data Analytics, Computer Science, Information Systems, or related field preferred.
8+ years of experience in business intelligence, data analysis, or related role.
Proficiency in Power BI, DAX, Power Query (M language), and SQL.
Experience working with enterprise data platforms such as Azure Fabric and Snowflake.
Strong understanding of data modeling concepts and visualization best practices.
Ability to translate business needs into technical solutions.
Familiarity with data governance, privacy, and compliance in financial services.
Preferred Qualifications:
Experience in a government-oriented institution or enterprise environment.
Knowledge of advanced analytics, AI, or machine learning concepts.
Experience with APIs and integrating BI solutions with other enterprise systems.
Background in change management and user adoption strategies.
Professional certifications in Power BI, SQL, or data analytics.
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