Epicareer Might not Working Properly
Learn More

BI Analyst

Salary undisclosed

Apply on


Original
Simplified



Key Responsibilities
Data 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 organization's 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:
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).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job