Business Intelligence Developer

Job Descriptions:

Data Integration and Management:

• Design, develop, and maintain ETL (Extract, Transform, Load) processes to integrate data from multiple systems.
• Manage and maintain a robust SAP BW and QlikSense data dictionary and metadata documentation.
• Ensure data integrity, accuracy, and consistency across platforms.

BI Reporting and Analytics:

• Develop interactive dashboards and reports using BI tools (e.g., QlikSense, Power BI).
• Analyze business performance metrics, sales trends, and customer behavior.
• Use metadata to enhance report reliability and automate data lineage tracking.

Collaboration with Stakeholders:

• Work closely with non-technical business users to determine specific business requirements for reports and business intelligence solutions.
• Translate business requirements into technical solutions while maintaining a well-documented data dictionary and metadata repository.

Optimization and Maintenance:

• Perform technical troubleshooting, code debugging, and problem solving, including daily tasks and jobs monitoring.
• Support incident management and change request for SAP BW and QlikSense systems.
• Optimize query performance and data models for scalability.

Data Security and Compliance:

• Ensure adherence to data governance policies and standards.
• Implement secure data management practices and maintain metadata to facilitate audits and compliance checks.

Other Tasks:

• To perform any other work as and when required.

Job Requirements:

Education and Experience:

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
• 2-5 years of experience as a BI Developer, Data Analyst, or similar role.

Technical Skills:

• Proficiency in BI tools (e.g., Power BI, QlikSense).
• Strong SQL skills for querying and data manipulation.
• Experience with data lake/warehouse concepts and tools.
• Knowledge of metadata management tools and practices.
• Expertise in maintaining and evolving a data dictionary, including naming conventions and usage guidelines.
• Familiarity with programming languages such as Python, R, or DAX is a plus.
• Familiarity with cloud platforms and solutions (e.g., AWS, GC).

Soft Skills:

• Strong analytical and problem-solving abilities.
• Excellent communication skills to convey technical concepts to non-technical stakeholders.
• Detail-oriented, especially regarding documentation and metadata accuracy.
• Ability to work in a fast-paced retail environment with multiple priorities.

Additional Preferences:

• Experience in retail or supply chain analytics.
• Knowledge of POS (Point of Sale) systems and customer loyalty programs.