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.