Hazeeb Hashim Siddique
Dubai
Summary
Data Analyst with 3+ years of experience in analyzing large datasets, building automated reporting workflows, and developing interactive dashboards using Power BI, Qlik, and Tableau. Strong expertise in SQL, Python, DAX, and Azure-based data engineering. Hands-on experience with ERP data integration, ETL pipelines, forecasting, and KPI modelling across retail, healthcare, and manufacturing domains. Master's degree in Statistics.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Data Analyst
Faith Healthcare Group
Dubai
09.2025 - Current
- Developed a comprehensive retail sales dashboard integrating multiple data sources (SQL, Excel and ERP systems) to monitor store, region, and branch-level performance. Implemented Row-Level Security (RLS) for region- and branch-level data access.
- Designed and maintained ETL processes to extract, clean, and transform data from ERP systems, resulting in faster reporting and more accurate business insights.
- Worked with large and complex multi-branch datasets, ensuring optimized SQL queries and efficient data modelling for faster dashboard performance.
Data Analyst& Engineer
Malabar Group
02.2024 - 08.2025
- Directed the migration from Azure Data Lake Storage (ADLS) & Synapse Analytics to Microsoft Fabric, ensuring seamless data transition and workflow continuity.
- Collaborated with cross-functional teams to redesign ETL pipelines and enhance Power BI dashboards, aligning reporting solutions with evolving business data needs.
- Developed interactive dashboards and reports using Qlik Sense and Power BI, establishing a robust business metric framework that translated sales trends, customer preferences, and inventory levels into actionable insights for strategic decision-making.
- Implemented dynamic and static row-level security (RLS) to secure sensitive data and ensure appropriate hierarchical access for branch, region, zonal, and brand managers.
- Partnered with departments including Finance, Sales, Merchandise, HR, Supply Chain Management, Operations, and Manufacturing to analyze business processes, gather requirements, and define technical specifications.
- Optimized SQL queries, stored procedures, and overall system performance for efficient data retrieval and reporting.
- Developed coordination and parallel pipelines using Azure Data Factory (ADF) to enhance data processing efficiency, significantly reducing execution time and improving workflow reliability.
Data Scientist (Internship)
ID Fresh Food India Private Limited
11.2022 - 10.2023
- Designed interactive dashboards using Power BI and Tableau to aid decision-making across retail, procurement, and operational domains by analyzing complex data efficiently.
- Applied time series forecasting analysis using Python to predict food product sales with an 85% accuracy rate, enhancing inventory management and production planning.
- Constructed and integrated a machine learning chatbot with the RASA package for handling HR-related queries, ensuring seamless interaction with real-time HR systems.
- Conducted RFM (Recency, Frequency, Monetary) analysis to segment customers and optimize targeted marketing strategies.
- Automated data extraction from supplier emails, PDF invoices, Excel sheets, and text documents, reducing manual data entry efforts by 75% and improving data acquisition accuracy.
Education
Master of Science - Statistics
KUFOS
01.2022
Bachelor of Science - Statistics
Kannur University
01.2020
Skills
- SQL
- Python
- R
- MySQL
- DAX
- BigQuery
- Azure
- Data Warehouse
- Azure Data Factory (ADF)
- Synapse
- Microsoft Fabric
- ETL Data Pipelines
- Lakehouse
- Power BI
- Qlik
- Tableau
- Excel
- Pandas
- Numpy
- Matplotlib
- Scikit-Learn
- Machine Learning
- Deep Learning
- Excellent Communication
- Strong Stakeholder Management
- People Management
- Problem Solving
Certification
- Microsoft Power BI Essential Training, This certification course by LinkedIn learning focused on mastering Microsoft Power BI. The topics covered include data modeling, dashboard creation, report generation, and data analysis using Power BI.
- SQL for data analysis, Learned about querying databases, performing data manipulation and aggregation operations, and extracting valuable insights from large datasets using SQL.
- Data Science using Python Programming, 360DigiTMG and SSC NASSCOM Assessment
Timeline
Data Analyst
Faith Healthcare Group
09.2025 - Current
Data Analyst& Engineer
Malabar Group
02.2024 - 08.2025
Data Scientist (Internship)
ID Fresh Food India Private Limited
11.2022 - 10.2023
Master of Science - Statistics
KUFOS
Bachelor of Science - Statistics
Kannur University