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Vaco

BI Analyst

Vaco, Midlothian, Virginia, United States, 23112


Key ResponsibilitiesData Analysis· Extract, clean, and analyze large datasets from both vendor systems to identify trends, patterns, and actionable insights.· Apply advanced statistical methods and data mining techniques to interpret data and generate meaningful business insights.Reporting and Visualization· Design, develop, and maintain interactive dashboards and reports using industry-leading BI tools such as Power BI and Tableau.· Present findings in a clear, concise, and visually appealing manner, tailored to both technical and non-technical audiences, enabling informed decision-making across the organization.Requirements Gathering:· Collaborate with business stakeholders to understand and document reporting requirements, data needs, and key performance indicators (KPIs).· Translate business questions into structured analytical projects and develop comprehensive requirements documentation that guides data-driven initiatives.Data Modeling· Assist in the design, implementation, and optimization of data models that support the organizations reporting and analytical needs.· Ensure the accuracy, consistency, and integrity of data throughout the entire reporting process, from extraction to final visualization.Continuous Improvement· Stay current with industry trends, emerging technologies, and best practices in BI and analytics to drive innovation within the team.· Proactively propose and implement enhancements to existing reporting processes, aiming to increase efficiency, accuracy, and overall business value.What We are Looking For:· Bachelors degree in business, Computer Science, Statistics, or related field.· Proven experience as a BI Analyst or in a similar analytical role.· Proficiency in SQL for data extraction and manipulation.· Experience with BI tools such as Power BI, Tableau, or similar.· Strong analytical and problem-solving skills.· Excellent communication and presentation abilities.Preferred Skills· Knowledge of data warehousing concepts and ETL processes.· Programming skills in languages such as Python or R.· Familiarity with database systems (e.g., Microsoft SQL Server, Oracle).