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Business Intelligence Analyst

1 month ago

Midlothian, Virginia, United States Vaco Full time
Key Responsibilities

As a Business Intelligence Analyst at Vaco, you will be responsible for extracting, cleaning, and analyzing large datasets to identify trends, patterns, and actionable insights. You will apply advanced statistical methods and data mining techniques to interpret data and generate meaningful business insights.

Reporting and Visualization

You will design, develop, and maintain interactive dashboards and reports using industry-leading BI tools such as Power BI and Tableau. You will 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

You will collaborate with business stakeholders to understand and document reporting requirements, data needs, and key performance indicators (KPIs). You will translate business questions into structured analytical projects and develop comprehensive requirements documentation that guides data-driven initiatives.

Data Modeling

You will assist in the design, implementation, and optimization of data models that support the organization's reporting and analytical needs. You will ensure the accuracy, consistency, and integrity of data throughout the entire reporting process, from extraction to final visualization.

Continuous Improvement

You will stay current with industry trends, emerging technologies, and best practices in BI and analytics to drive innovation within the team. You will proactively propose and implement enhancements to existing reporting processes, aiming to increase efficiency, accuracy, and overall business value.

Requirements
  • Bachelor's 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)