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Reporting Analyst – Power BI & Vertica

ConfidentialDubai, UAE4 weeks agoEntryfulltime
Power BIPythonREST APISQL
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Via LinkedIn·

About This Role

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.
  • 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).

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