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).