Data Analyst

Gyma Food Industries LLC; Dubai; On-site; AED 40,000 - 80,000; Full time

Job summary

An established industry player is seeking a detail-oriented Data Analyst to enhance data-driven decision-making. In this role, you will gather and organize data, ensuring its quality and accuracy while developing insightful dashboards and reports. Collaborating with various departments, you will analyze sales trends and market insights, transforming raw data into actionable insights. This position offers an exciting opportunity to contribute to business forecasting and performance tracking in a dynamic environment. If you are passionate about data analysis and eager to make a significant impact, this role is perfect for you.

Qualifications

• Experience in a data analyst role or similar position.
• Strong proficiency in Microsoft Excel and data visualization tools.

Responsibilities

• Gather, clean, and organize data from various sources.
• Develop and maintain dashboards and reports using Power BI.

Skills

Microsoft Excel

Data Analysis

Statistical Techniques

Data Visualization

Communication Skills

Tools

Power BI

Job description

Job Description

1. Gather, clean, and organize data from various internal and external sources.
2. Ensure data quality, consistency, and accuracy across different datasets.
3. Develop and maintain dashboards and reports using data visualization tools (e.g., Power BI, Excel).
4. Create regular reports for management and key stakeholders to present findings and track performance metrics.
5. Analyze sales trends, historical data, and market insights to support demand forecasts.
6. Work with different departments (marketing, finance, sales, etc.) to understand their data needs and deliver tailored analyses.
7. Assist in building and refining data models to improve business forecasting accuracy.
8. Identify opportunities for improving existing data processes and workflows, including developing reports and dashboards to track forecast accuracy and business performance.

Desired Candidate Profile

• Strong proficiency in Microsoft Excel (advanced functions, pivot tables, formulas).
• Knowledge of data analysis and statistical techniques (e.g., regression, hypothesis testing).
• Ability to transform raw data into meaningful insights and communicate technical findings clearly to non-technical stakeholders.
• Experience in a data analyst role or similar position.
• Experience working with large datasets and performing quantitative analysis.