909 Business Data Analyst jobs in the United Arab Emirates

Role- Business Data Analyst.

Location - Abu Dhabi, UAE

Duration - Full Time

1. Candidate should have 4+ BA with Banking experience
2. Candidate should have Experience in Data analytics
3. Candidate should have experience in CDP(cloud data platform) applications like CDE(Cloud Data Engineering) , CDW(cloud Datawarehouse)-Cloud Era /Azure data lake
4. Candidate should have experience in Business data models
5. Candidate should have experience in SQL quires writing
6. Candidate should have experience in retail banking
7. Candidate should have the experience in Impala, Hive DB's
8. Candidate should have experience in Digital controllers experience
9. Good to have Python scripting knowledge
10. Good to have pyspark knowledge

Job Title:
Business Data Analyst (Banking) - Digital Transformation ( Business Analysis + Data Analytics)

Location:
Dubai, UAE

Job Type:
Full-Time Contract (1 year, renewable)

Notice Period:
30 days or less

Experience Level:
Mid-Level (5-9 years)

Department:
Digital Business & Transformation

About Our Client:

A pioneering and innovative bank in the UAE, shaping the future of finance for over 50 years.

The Opportunity:

Join a dynamic Digital Transformation team as a hybrid Business & Data Analyst. This role is perfect for a professional passionate about solving business problems with data-driven solutions. You will be the critical link between business stakeholders and technology teams, using your analytical skills to drive insights, define requirements, and measure the success of digital initiatives that enhance customer journeys and fuel the bank's growth.

Key Responsibilities:

Business Analysis:

• Elicit, analyze, and document detailed business requirements, user stories, and process flows.
• Act as a liaison between business units (Product, Marketing, Operations) and development teams.
• Conduct gap analysis and impact assessment for new features and changes.
• Participate actively in Agile/Scrum ceremonies (sprint planning, backlog grooming, stand-ups).
• Support User Acceptance Testing (UAT) by developing test scenarios and validating solutions.

Data Analysis:

• Write complex SQL queries to extract, manipulate, and analyze large datasets from data warehouses.
• Develop and maintain interactive dashboards and reports using BI tools to track digital product KPIs.
• Perform deep-dive analysis to identify trends, root causes, and opportunities for improvement.
• Translate data insights into clear presentations and actionable recommendations for stakeholders.
• Support the development of data models and definitions for new metrics.

Qualifications & Skills:

Essential:

• Bachelor's degree in Computer Science, Engineering, Finance, Business, or a related quantitative field. (MBA/Master's is a plus).
• 5-9 years of proven experience as a Business Analyst, with significant exposure to Banking, Financial Services, or FinTech.
• Mandatory:
  Strong, hands-on expertise in
  SQL
  and
  PL/SQL
  .
• Mandatory:
  Hands-on experience with
  Power BI
  .
• Mandatory:
  Core-banking system experience.
• Solid understanding of Agile methodologies (Scrum, Kanban) and experience with JIRA.
• Exceptional communication, stakeholder management, and presentation skills.
• Strong analytical and problem-solving mindset.

Highly Desirable:

• Professional certifications (e.g., CBAP, PMI-PBA, Agile Scrum Master, data analytics certifications).
• Experience with data modeling, Python, or R for statistical analysis.
• Knowledge of digital banking products, customer journey mapping, and process optimization.
• Desired Skill:
  Experience with
  Flexcube
  and
  OFSAA
  .

What We Offer:

• A competitive monthly salary.
• Comprehensive benefits package (health insurance for family, annual flight tickets, performance bonuses).
• High-impact, visible projects at the forefront of banking innovation.
• Clear career development path (to Product Owner or SME) with access to training and certifications.
• A collaborative, inclusive, and high-performing work culture.

We are seeking a skilled Data Scientist to drive business growth through data-driven insights. Key responsibilities include:

Apply machine learning, statistical modeling, and data mining techniques to solve complex problems.

Expertise in Python, R, SQL, and ML libraries (scikit-learn, TensorFlow) is required.

Experience with data wrangling, feature engineering, and predictive analytics is essential.

Communicate insights through compelling data storytelling and visualization tools.

A minimum of 3 years of experience in data science is required. Typically, candidates with 7 years of experience or more are preferred for senior roles.

Familiarity with data visualization tools like Tableau, Power BI, or D3.js is a plus.

Data analysis plays a pivotal role in facilitating data-driven decision-making by extracting actionable insights from large datasets.

• Analyze complex data sets to identify trends and patterns
• Develop and maintain databases for accurate and reliable data retrieval
• Create visual representations and reports to effectively communicate findings to stakeholders

• Bachelor's degree in Computer Science, Mathematics, Statistics, or related fields
• At least 2 years of experience in data analysis
• Excellent knowledge of Excel and other relevant software tools

• Flexible working hours
• Opportunity to work remotely when needed

Role: Business Data Analyst. Duration: Full Time.

• Candidate should have 4+ BA with Banking experience
• Candidate should have Experience in Data analytics
• Candidate should have experience in CDP (cloud data platform) applications like CDE (Cloud Data Engineering), CDW (cloud Datawarehouse) - Cloud Era / Azure data lake
• Candidate should have experience in Business data models
• Candidate should have experience in SQL queries writing
• Candidate should have experience in retail banking
• Candidate should have experience in Impala, Hive DBs
• Candidate should have experience in Digital controllers experience
• Good to have Python scripting knowledge
• Good to have PySpark knowledge

• 4+ years of BA experience with Banking domain
• Experience in data analytics
• Experience with CDP applications (CDE, CDW) and cloud data platforms (Azure/AWS)
• Experience in business data models
• Experience in SQL query writing
• Experience in retail banking
• Experience with Impala and Hive databases
• Experience with digital controllers
• Python scripting knowledge is a plus
• PySpark knowledge is a plus

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: IT Services and IT Consulting

Note: This posting may include regional references (Abu Dhabi area) as part of the job market context, but the essential content above remains focused on responsibilities and qualifications for the role.

This role involves collecting, analyzing and presenting data related to financial performance (e.g. revenues and expenses), sales performance (deal pipeline, sales productivity) and other areas.

• Data Collection and Analysis: Download reports from Citi systems, collect inputs from various teams to compare actual numbers against prior period and plan, understand drivers behind increases and decreases, identify trends and outliers, calculate forecast.
• Report Preparation and Presentations: Assist the Business Execution team with preparation of various reports and presentations.

• Degree in Finance, Statistics, Mathematics, Economics or other quantitative fields.
• 0-2 years of relevant experience.
• Ability to multitask, be organized and detail oriented.
• Excellent understanding of statistics, data analysis and visualization.
• Strong analytical and presentation skills: good verbal and written communication and formal presentation skills.
• Hands-on knowledge of MS Office application suite (PowerPoint, Excel, Word etc.).
• Language requirements - fluent English, both verbal and written.

We are seeking a detail-oriented and analytical professional to join our team in Ras-al-Khaimah.

The ideal candidate will be responsible for collecting, analyzing, and interpreting data to inform strategic decisions.

Main Responsibilities:

• Gathering and analyzing data from multiple sources.
• Applying statistical techniques to identify correlations between variables.
• Developing reports and visualizations to present insights.
• Collaborating with other team members to develop solutions.
• Providing recommendations for process improvements based on analysis results.

Required Skills and Qualifications:

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Prior experience in a similar role is preferred but not essential.

What We Offer:

• A dynamic and supportive work environment.
• An attractive compensation package based on qualifications and experience.

About the Role:

We are seeking a skilled data analyst to drive business growth through data-driven insights.

• Analyze large datasets from various sources to identify trends and opportunities
• Design and develop interactive dashboards and reports using power bi
• Write efficient dax and sql queries for data transformation and modeling
• Create scalable data models for effective reporting and analysis
• Collaborate with stakeholders to understand business requirements and objectives
• Presentation of findings in clear and visual manner to inform decision-making

Requirements:

• 12 years of relevant work experience or equivalent combination of education and skills
• Proficient in power bi, dax and sql with strong understanding of data modeling and visualization best practices
• Solid grasp of data analysis and problem-solving techniques with ability to think critically
• Effective communication and presentation skills with ability to work independently
• Strong attention to detail and analytical mindset with ability to meet deadlines

Key Skills:

• Power bi
• Dax
• Sql
• Data modeling
• Visualization