Data Specialist jobs in United Arab Emirates
Fabric Analytics Engineer — Power BI & Data Factory Expert
Duncan & Ross
Senior UT/UTCD Data Analyst - In-Line Inspection
Pipecare Group
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Fuelre4m
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DIKTUCOM
Remote Data Analyst Trainee — Learn & Build Insights
Lead India
Data Analyst - Blockchain & ML Insights (Accelerator)
Binance
Senior Data Analyst: Drive Strategic Insights from Data
ITP Media Group
Sales Planning & Support Analyst — Data-Driven Proposals
Citi bank
Data Analyst
Job summary
A prominent technology solutions provider located in Dubai is seeking a skilled Data Analyst to design effective data solutions. The role requires strong analytical skills, extensive experience with SQL and Apache Spark, and familiarity with data visualization tools like Power BI. Ideal candidates will have cloud experience with Azure or AWS and a commitment to high-quality work. This position offers an opportunity to contribute in a dynamic environment while working with cross-functional teams.
Qualifications
- Strong analytical and problem-solving skills to effectively design data solutions.
- Expert-level proficiency in SQL and Python.
- Experience with cloud platforms, including Azure and AWS.
Responsibilities
- Understand Banking Retail, Business & Wholesale Product Knowledge.
- Attention to detail with a commitment to high-quality work.
- Collaborate with cross-functional teams effectively.
Skills
Tools
Strong analytical and problem-solving skills to effectively design data solutions.
- Banking Retail, Business & Wholesale Product Knowledge and understanding
- Attention to detail and a commitment to delivering high-quality work.
- Excellent communication and teamwork skills to collaborate with cross-functional teams.
- Ability to manage time effectively and prioritize tasks in a dynamic work environment.
- Strong data querying and processing skills using SQL, Oracle, Apache Spark or similar language
- Data Visualization tools – Power BI, Business Objects, Crystal or similar tool
- Data Warehousing and ETL concepts
- Expert-level proficiency in SQL, Python with SAS/R/Spark as plus
- Deep understanding of distributed data processing frameworks, particularly Apache Spark.
- Experience with cloud platforms (Azure, AWS) — including Object storage, compute, networking, and data integration services.
- Familiarity with data modeling techniques, including schema design, partitioning, and performance tuning.
- Experience working with structured and semi-structured data formats (e.g., JSON, Parquet, Avro, XML).
- Knowledge of data governance, quality assurance, and compliance best practices.
- Solid grasp of core computer science fundamentals (e.g., data structures, search algorithms, queues) relevant to performance-critical data engineering
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.