JOB SUMMARY
We are looking for a
Reporting Analyst
with strong
SQL expertise
to design, develop, and maintain operational and management reports using data from our
Warehouse Management System (WMS – LFS)
. The role will focus on building high-quality
Power BI dashboards
, writing optimized SQL queries, and supporting data-driven decision-making across logistics and warehouse operations.
Job Type
: 6 months and extendable if the work is satisfactory
Salary:
14K AED
TECHNICAL COMPETENCIES
Intermediate proficiency in Python for data analysis, automation, and advanced analytics is required.
-
Experience working with Pandas, NumPy, API integrations, and database connectivity.
-
Ability to build automation scripts for recurring reporting tasks.
Python (Intermediate Level – Data Analytics & Automation):
-
Strong working knowledge of Python for data analysis and automation.
-
Hands-on experience with Pandas, NumPy, and Matplotlib/Seaborn for data manipulation and visualization.
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Ability to write reusable scripts for data extraction, cleansing, transformation, and validation.
-
Experience connecting Python to databases (Vertica, SQL Server, REST APIs).
-
Knowledge of using Python within Power BI (Python visuals / data transformation).
-
Basic understanding of automation scripting and process optimization.
-
Exposure to Jupyter Notebook or similar development environments.
-
Ability to implement basic statistical models and forecasting using Python libraries.
Data Manipulation and Cleaning:
-
Proficient in collecting, cleaning, and preprocessing data from multiple sources, using Power Query for data transformation.
-
Skilled in querying data from databases using SQL and integrating it into Power BI.
-
Strong hands-on experience in
SQL
(complex joins, subqueries, CTEs, performance tuning).
Data Modeling in Power BI:
-
Expertise in building and optimizing
data models
within
Power BI
, focusing on efficient relationships, calculated columns, and
measures
using
DAX
(Data Analysis Expressions).
-
Knowledge of
star schema
and
snowflake schema
modeling to improve performance and usability in Power BI reports.
Advanced DAX for Analytics:
-
Mastery of DAX functions for advanced calculations, such as time intelligence, ranking, dynamic filtering, and performance optimization in reports.
-
Experience in dynamic measures, KPIs, and predictive modeling within Power BI to support business forecasting.
Statistical and Analytical Thinking:
-
Strong foundation in statistical concepts (e.g., hypothesis testing, regression analysis) applied through Power BI.
-
Experience with R and Python integration within Power BI for more advanced statistical analysis and machine learning, if needed.
QUALIFICATIONS, EXPERIENCE AND SKILLS
Desirable Qualification:
Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
Work Experience:
Proven experience (5+Yeras) as a Data Analyst/BI Developer, or similar role, preferably in a large-scale organization or within the logistics industry.
Technical skills required to perform the role:
-
4-7 years of experience in data visualization using Power BI.
-
Strong proficiency in DAX, Power Query, and Power Automate.
-
Excellent analytical skills with the ability to interpret complex data sets.
-
Familiarity with data modeling and visualization best practices.
-
Strong communication skills to collaborate with cross-functional teams.
-
Experience to design Dashboard to be compatible with
Mobile Devices
-
Expertise in extracting the data from
REST APIs
to Power BI Visualization Tool
-
Strong knowledge in understanding of Database Concepts and Ability to write
SQL Queries
-
Able to Develop Data Models to identify potential opportunities and risks using the data sets
-
Interpret data, analyze results using statistical techniques and provide ongoing trends or patterns and reports.
-
Strong hands-on experience in
SQL
(complex joins, subqueries, CTEs, performance tuning).