Data Analyst

ENTERTAINER FZ LLC; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading company in the Lifestyle industry is seeking a Data Analyst to join their Business Intelligence team in Dubai. The role involves leveraging data analytics to enhance decision-making and performance across the organization, utilizing tools such as SQL, Power BI, and Tableau. Candidates should possess strong analytical skills and a background in data science or a related field, with opportunities to work with advanced data platforms and technologies.

Qualifications

• Minimum of 2 years' experience in a data analyst or similar role.
• Advanced proficiency in SQL for data manipulation and analysis.
• Hands-on experience with Power BI and Tableau for data visualizations.

Responsibilities

• Design, build, and maintain dashboards using Power BI and Tableau.
• Develop and optimize SQL queries for data extraction.
• Utilize Databricks for building scalable data pipelines.

Skills

SQL

Data Visualization

Analytical Thinking

Problem Solving

Attention to Detail

Education

Bachelor’s degree in Data Science or related discipline

Tools

Power BI

Tableau

Job description

About Us
The ENTERTAINER is a leader in the Lifestyle industry, providing our members with exclusive access to 2-for-1 vouchers for dining, delivery, attractions, shopping, and travel across the GCC and Singapore. We are dedicated to pushing the boundaries of customer satisfaction and business growth, continuously innovating to enhance the way our users engage with entertainment. Join us as we strive to transform the entertainment landscape through creativity and innovation.

Position Overview
The Data Analyst plays a critical role within the Business Intelligence and Analytics team, driving data-informed decision-making across the organization. This role involves working closely with both technical and business stakeholders to extract, transform, and analyze data. The ideal candidate combines strong analytical capabilities with technical expertise in SQL, data visualization tools (Power BI/Tableau), and data warehousing principles. Familiarity with big data platforms like Databricks is a plus.

As a Data Analyst you will

• Design, build, and maintain dashboards and reports using Power BI and Tableau to deliver actionable insights.
• Develop and optimize SQL queries to extract, clean, and manipulate large datasets from various data sources.
• Utilize Databricks (or equivalent platforms) for building scalable data pipelines and conducting exploratory analysis.
• Partner with stakeholders to gather reporting requirements, define key performance indicators (KPIs), and translate needs into clear data solutions.
• Apply best practices in data modelling, schema design, and the development of reporting layers.
• Maintain and monitor data quality, consistency, and integrity across reporting outputs.
• Create thorough documentation of reports, queries, business metrics, and data sources.
• Perform ad hoc data analyses to support key business decisions and strategic initiatives.

What we’re looking for
Required:

• Bachelor’s degree in Data Science, Computer Science, Statistics, Information Systems, or a related discipline.
• Minimum of 2 years' experience in a data analyst or similar role.
• Advanced proficiency in SQL for data manipulation and analysis.
• Hands-on experience with Power BI and Tableau for building dashboards and data visualizations.
• Strong understanding of data warehousing concepts, including dimensional modeling and star/snowflake schemas.
• High attention to detail with strong problem-solving and analytical thinking skills.
• Excellent communication skills with the ability to explain complex data concepts to both technical and non-technical stakeholders.

Preferred:

• Experience with Databricks or other distributed computing frameworks such as Apache Spark.
• Familiarity with cloud-based data platforms like Azure Synapse, Snowflake, Big Query, or Redshift.
• Working knowledge of Python or R for data processing or statistical analysis.
• Experience with ETL tools or building data integration pipelines.
• Certifications in Tableau, Power BI, or Databricks are an advantage.