We are looking for a Reporting Analyst with strong SQL expertise to design, develop, and maintain operational and management reports using data from a Warehouse Management System (WMS). The role focuses on building high-quality Power BI dashboards, optimized SQL queries, and data-driven insights to support logistics and warehouse operations.
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Location: Dubai, United Arab Emirates
Contract Duration: 6 Months (Extendable)
Work Conditions: On-site, Full-time
Notice Period: 30 Days Max
Payroll: The company
Experience Required: 4+ years
Key Responsibilities:
- Write complex and optimized SQL queries to extract, transform, and analyze data.
- Design, develop, and maintain Power BI dashboards and reports.
- Work closely with business stakeholders and IT teams to understand reporting requirements.
- Build operational KPI dashboards (inbound, outbound, inventory, billing, productivity, etc.).
- Ensure data accuracy, consistency, and performance optimization across reports.
- Support ad-hoc reporting and analytics requests.
- Document report logic, data models, and SQL queries.
- Collaborate with integration teams to validate data sources and resolve data issues.
Core Technical Skills:
- Strong SQL expertise (complex joins, subqueries, CTEs, performance tuning).
- Power BI development including dashboards, DAX, Power Query, and data modeling.
- Knowledge of star schema/snowflake schema modeling.
- Ability to analyze large datasets and present insights using visual dashboards and KPIs.
- Experience designing mobile-compatible dashboards.
- Strong analytical and problem-solving skills.
- Proficiency in Python for data analysis, automation, and advanced analytics.
- Experience with Pandas, NumPy, Matplotlib/Seaborn for data manipulation and visualization.
- Ability to write automation scripts for recurring reporting tasks and connect Python with databases (Vertica, SQL Server) and REST APIs.
- Knowledge of using Python within Power BI for data transformation.
- Basic understanding of statistical modeling and forecasting using Python libraries.
Language Requirements: None specified.
Interested candidates can share their CVs at shaloo.rani@the company.com or connect with Shaloo Rani on LinkedIn.
