Business Intelligence

Job Description

The Business Intelligence (BI) will work closely with the Data Engineer (DE) to maintain and update the Data Warehouse (DW) based on business requirements. The role involves using BI tools, primarily Power BI, to create insightful visualizations and reports. A strong analytical mindset is essential to extract actionable insights from data and help drive business decisions.

Key Responsibilities

• Collaborate with the Data Engineer to ensure the Data Warehouse is updated and maintained according to business needs.

• Develop, maintain, and manage reports and dashboards using Power BI to visualize key performance indicators and other business metrics.

• Analyze complex datasets to identify trends, patterns, and actionable insights that can enhance business decision-making processes.

• Work with business stakeholders to understand their data needs and translate them into technical solutions and reporting.

• Perform ad hoc analysis to address specific business questions and deliver data-driven recommendations.

• Ensure the accuracy and consistency of data used in reporting and analytics efforts.

• Provide training and support to business users on using BI tools for self-service reporting.

Job Requirement

• Bachelor’s degree in Data Science, Business Analytics, Computer Science, or a related field.

• Proven experience as a Business Intelligence (BI) or in a similar role, preferably in a retail or e-commerce environment.

• Proficiency in BI tools, especially Power BI, to create interactive and dynamic dashboards.

• Strong analytical skills with the ability to manipulate large datasets and derive actionable insights.

• Familiarity with SQL and the ability to query databases to support reporting and analysis.

• Experience working with Data Warehouses and collaborating with Data Engineers for data integration and updates.

• Excellent communication skills, both written and verbal, to effectively interact with non-technical business users.

Preferred Qualifications

• Familiarity with predictive analytics and data storytelling techniques is a plus.

• Knowledge of retail industry trends and metrics.