BI Analyst

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).