About this role
Description Design and develop interactive dashboards & reports using Power BI / Tableau / Looker. Create data visualizations and storytelling dashboards to provide meaningful insights. Implement drill-downs, filters, and KPI tracking for trade operations, finance, HR, and marketing analytics. Ensure report performance optimization by using best practices in DAX, SQL queries, and indexing. Build star schema and snowflake schema models for efficient BI reporting. Develop ETL pipelines to extract data from trade, finance, and HR systems into the BI layer. Integrate data from multiple sources (PostgreSQL, Oracle, APIs, Data Lakes, etc.). Ensure data consistency, accuracy, and governance in all BI reports. Work with business users, data engineers, and product managers to understand data & reporting needs. Translate business questions into analytical solutions with clear insights. Present data-driven insights to executives and department heads for strategic decision-making. Conduct training sessions for end-users to maximize BI tool adoption. Optimize dashboard speed, queries, and data refresh rates. Ensure data security & governance policies are maintained in BI reports. Implement role-based access control (RBAC) for report viewing & data access. Maintain documentation for dashboards, data models, and report logic. Requirements: Proficiency in BI Tools → Power BI, Tableau, Looker, or Qlik Sense. SQL Expertise → Ability to write complex queries, stored procedures, and performance tuning. ETL & Data Integration → Hands-on experience with SSIS, Talend, or Apache NiFi. Data Modeling → Understanding of star schema, snowflake schema, and dimensional modeling. Scripting Knowledge (Preferred) → Python or R for data manipulation. DAX & MDX (For Power BI) → Ability to write advanced DAX calculations. Version Control → Experience with GitHub, Bitbucket, or DevOps CI/CD pipelines. Strong analytical & problem-solving skills. Ability to translate business needs into technical BI solutions. Excellent communication skills for working with non-technical users. Strong attention to detail & data accuracy. Ability to work in a fast-paced environment & handle multiple projects. Bachelor’s/Master’s in Computer Science, Data Science, MIS, or a related field. 1 to 2 years of BI development experience in an enterprise setting. Experience in trade, finance, logistics, or customs analytics is a plus.
-1548580612210155.png)