51 Business Intelligence Analyst jobs in the United Arab Emirates

The UAE is a global leader in the oil and gas industry, with increasing investment in technology and data-driven decision-making. This careers overview summarizes the role of a business intelligence analyst in UAE oil and gas, highlighting how data transforms into actionable insights to improve operational efficiency and strategic decision-making.

• Business Intelligence Analyst – Oil & Gas
• Data Analyst – Energy Sector
• Senior BI Analyst – UAE Petroleum Company
• BI Reporting Specialist – Oil & Gas Projects
• Energy Data Analyst – UAE
• Operations Analyst – Oil & Gas Industry
• BI Developer – UAE Energy Firms

• Education: Bachelor’s or Master’s degree in Business Analytics, Computer Science, Data Science, or a related field.
• Experience: 2–6 years of experience in business intelligence, analytics, or reporting, preferably in the energy sector.
• Technical Skills: Proficiency in SQL, Power BI, Tableau, SAP, and data modeling.
• Analytical Skills: Ability to analyze complex datasets and generate actionable insights for management.
• Industry Knowledge: Familiarity with oil and gas operations, production metrics, and KPIs.
• Soft Skills: Strong communication, problem-solving, and teamwork skills.
• Certifications (Optional): CBIP, Microsoft Power BI, or Tableau certifications enhance employability.

• Salary Range: AED 18,000 – AED 35,000 per month.
• Housing Allowance: Some companies provide housing or include it in the salary package.
• Transportation: Travel allowance or company-provided transport.
• Medical Insurance: Comprehensive coverage for employees and dependents.
• Annual Bonus: Performance-based incentives.
• Flight Tickets: Yearly travel allowance to the home country.
• Professional Development: Access to workshops, certifications, and training in analytics and oil & gas operations.

Leading UAE oil and gas companies such as ADNOC, Emirates National Oil Company, Dana Gas, and Crescent Petroleum are frequently hiring business intelligence analysts to strengthen their data-driven decision-making capabilities. To apply, candidates should visit the official career pages of these companies or apply through UAE job platforms. Sample company link: Apply for Business Intelligence Analyst Jobs – UAE Oil & Gas Careers. Before applying, ensure your resume emphasizes your analytics skills, experience with BI tools, and familiarity with the energy sector.

Working as a business intelligence analyst in UAE oil and gas companies is an excellent opportunity for professionals looking to advance their careers in a high-demand, lucrative sector. With attractive salaries, global exposure, and opportunities to work on large-scale energy projects, this role offers both professional growth and financial rewards. If you have the qualifications and passion for analytics, now is the perfect time to apply and join a leading UAE energy firm, contributing to data-driven strategies that shape the future of the industry.

Q1: What is the average salary for BI analysts in UAE oil and gas? A: Salaries typically range from AED 18,000 to AED 35,000 per month, depending on experience.

Q2: Do UAE oil and gas companies provide visa sponsorship? A: Yes, most companies offer full visa sponsorship and relocation support.

Q3: Which companies hire business intelligence analysts in UAE? A: Leading firms include ADNOC, Dana Gas, Emirates National Oil Company, and Crescent Petroleum.

Q4: What technical skills are most important for BI roles? A: SQL, Power BI, Tableau, SAP, and data visualization are highly valued.

Q5: Can international candidates apply for BI analyst positions in UAE oil and gas? A: Absolutely, UAE energy companies welcome skilled professionals from around the world.

A leading technology firm specialising in bespoke software solutions for financial services

• Develop and maintain critical business reports and dashboards using Power BI.
• Query and extract data from our SQL Server-based data warehouse to fulfill reporting requirements.
• Conduct ad-hoc analysis using Excel and other bespoke tools as needed.
• Collaborate closely with stakeholders across various departments (Marketing, Finance, Operations, HR, Contact Centre) to understand their reporting needs and deliver tailored solutions.
• Assist in the migration of legacy SQL Reporting Services reports to Power BI.
• Proactively identify opportunities to improve reporting processes and data visualisation.

• Proven experience as a Reporting Analyst, ideally within a fast-paced environment.
• Strong analytical skills with the ability to quickly understand and interpret complex business requirements.
• Proficiency in querying data from SQL Server databases.
• Solid experience in developing interactive dashboards and reports with Power BI.
• An understanding of key business metrics related to customer lifecycle, financial performance, and operational efficiency.
• Any exposure to Python or Machine Learning concepts is highly preferred to support moving towards more predictive analytics

Key Responsibilities

Dashboarding & Reporting

• Design, build, and maintain interactive dashboards in Power BI.
• Automate recurring reports and develop self-service analytics tools.
• Ensure data accuracy, consistency, and timeliness.

Data Analysis & Insight Generation

• Analyze trends and performance across channels.
• Identify growth opportunities, margin risks, and operational inefficiencies.
• Support forecasting, budgeting, and strategic planning.

Data Governance & Quality

• Maintain data integrity across multiple sources including ERP, CRM, and vendor portals.
• Support data migration, cleansing, and enrichment initiatives.

Qualifications & Experience:

• Bachelor's degree in Data Science, Business Analytics, Computer Science, or related field.
• 1-3 years of experience in data analysis, preferably within IT or FMCG distribution.
• Advanced proficiency in Power BI, DAX, Tableau etc. data modelling tools.
• Strong Excel skills; experience with SQL, Python, R or other analytics tools is a plus.
• Familiarity with SAP system.

Preferred Attributes:

• Excellent communication and organisational skills with ability to work across teams.
• Experience working with multi-brand, multi-channel datasets.
• Understanding of distribution KPIs.
• Ability to work independently and manage multiple priorities.

Abu Dhabi, United Arab Emirates | Posted on 06/25/2025

We are seeking a detail-oriented and proactive Project Coordination & Reporting Analyst to support departmental operations by tracking, monitoring, and reporting on key initiatives, action items, and commitments. This role plays a critical part in ensuring seamless execution, timely delivery, and full visibility of ongoing activities for the Department Head and senior leadership.

The ideal candidate will be highly organized, analytical, and capable of identifying delays or risks early to enable swift corrective actions. This is a pivotal coordination role aimed at enhancing follow-through, accountability, and operational efficiency across high-impact initiatives.

Monitor Project and Task Progress:

Track assigned initiatives, deliverables, and milestones to ensure timely execution and adherence to defined quality standards. Regularly report progress updates to the Department Head .

Data Collection & Analysis:

Gather relevant information and performance metrics using tracking tools and dashboards. Synthesize insights into structured, actionable reports.

Milestone & Deadline Tracking:

Maintain oversight of timelines and critical deliverables across multiple projects to keep all activities on schedule and aligned with strategic goals.

Flag potential delays or bottlenecks early and recommend corrective actions to maintain momentum and avoid missed deadlines.

Reporting & Visibility:

Provide consistent, transparent updates to the Department Head on the status of open tasks and closure of completed actions.

Documentation & Follow-Up:

Ensure all action items, decisions, and communications are accurately recorded, followed up on, and completed as committed.

Operational Discipline:

Strengthen execution efficiency by reinforcing task ownership, closing gaps in communication, and maintaining momentum across priorities.

Strong organizational and coordination skills with attention to detail.

Experience using project tracking or workflow management tools (e.g., Excel, Smartsheet, Monday.com, Asana, or similar).

Excellent written and verbal communication skills.

Analytical mindset with ability to synthesize information into executive-level summaries.

Ability to work under pressure, manage competing priorities, and maintain follow-through.

Bachelor's degree in Business Administration, Operations, or a related field preferred.

Data Analyst-Business Intelligence and Process Automation

University City , United Arab Emirates

Sharjah Performing Arts Academy is seeking a full-time Data Analyst – Business Intelligence and Process Automation.

The Data Analyst plays a key role in supporting evidence-based decision-making by collecting, organizing, analyzing, and presenting statistical and institutional data. The role is responsible not only for preparing reports and insights but also for designing and developing automated data solutions and systems that streamline data collection, integration, and reporting processes. The analyst ensures compliance with Ministry of Higher Education and Scientific Research (MOHESR) requirements, supports accreditation and ranking submissions, and contributes to continuous improvement of data quality and institutional effectiveness.

Reporting to: Senior Manager - Quality Assurance and Strategy

Responsible for: Improvement of data quality

Works Closely with: Senior Manager - Quality Assurance and Strategy

Start Date: 5 January 2026

Employment Type: Full Time

Closing date for applications: 10 November 2025

• Join a talented team in a supportive and collaborative environment
• No unnecessary bureaucracy, no pointless tools, and flexible working hours
• Focus on meaningful work with real responsibilities and autonomy
• Enhance your expertise across diverse aspects of the performing arts industry
• Contribute to creating impactful content that supports our community daily
• Embrace real challenges and responsibilities in a dynamic, rapidly evolving academy

Effective Business Decisions Using Data Analysis

ID 257

Course: Effective Business Decisions Using Data Analysis

This interactive, applications-driven 5-day course will highlight the added value that data analytics can offer a professional as a decision support tool in management decision making. It will show the use of data analytics to support strategic initiatives; to inform on policy information; and to direct operational decision making. The course will emphasize applications of data analytics in management practice; focus on the valid interpretation of data analytics findings; and create a clearer understanding of how to integrate quantitative reasoning into management decision making. Exposure to the discipline of data analytics will ultimately promote greater confidence in the use of evidence-based information to support management decision making.

• Discussions on applications of data analytics in management
• The importance of data in data analytics
• Applying data analytical methods through worked examples
• Focusing on management interpretation of statistical evidence
• How to integrate statistical thinking into the work domain

• Explain the scope and structure of data analytics.
• Apply a cross-section of useful data analytics.
• Interpret meaningfully and critically assess statistical evidence.
• Identify relevant applications of data analytics in practice.

• Professionals in management support roles
• Analysts who typically encounter data/analytical information regularly in their work environment
• Those who seek to derive greater decision-making value from data analytics

This course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension, and retention of the information presented. The daily workshops will be highly interactive and participative. This involves regular discussion of applications as well as hands-on exposure to data analytics techniques using Microsoft Excel. Delegates are strongly encouraged to bring and analyse data from their own work domain. This adds greater relevancy to the content. Emphasis is also placed on the valid interpretation of statistical evidence in a management context.

• Day One: Setting the Statistical Scene in Management
  • Introduction; The quantitative landscape in management
  • Thinking statistically about applications in management (identifying KPIs)
  • The integrative elements of data analytics
  • Data: The raw material of data analytics (types, quality, and data preparation)
  • Exploratory data analysis using Excel (pivot tables)
  • Using summary tables and visual displays to profile sample data
• Day Two: Evidence-based Observational Decision Making
  • Numeric descriptors to profile numeric sample data
  • Central and non-central location measures
  • Quantifying dispersion in sample data
  • Examine the distribution of numeric measures (skewness and bimodal)
  • Exploring relationships between numeric descriptors
  • Breakdown analysis of numeric measures
• Day Three: Statistical Decision Making – Drawing Inferences from Sample Data
  • The foundations of statistical inference
  • Quantifying uncertainty in data – the normal probability distribution
  • The importance of sampling in inferential analysis
  • Sampling methods (random-based sampling techniques)
  • Understanding the sampling distribution concept
  • Confidence interval estimation
• Day Four: Statistical Decision Making – Drawing Inferences from Hypotheses Testing
  • The rationale of hypotheses testing
  • The hypothesis testing process and types of errors
  • Single population tests (tests for a single mean)
  • Two independent population tests of means
  • Matched pairs test scenarios
  • Comparing means across multiple populations
• Day Five: Predictive Decision Making - Statistical Modeling and Data Mining
  • Exploiting statistical relationships to build prediction-based models
  • Model building using regression analysis
  • Model building process – the rationale and evaluation of regression models
  • Data mining overview – its evolution
  • Descriptive data mining – applications in management
  • Predictive (goal-directed) data mining – management applications

Business Analysis

We are seeking a results-driven Business Analyst to support the analysis of CRM and SAP data, with a strong focus on sales performance, key account growth, and market intelligence.This role will work closely with cross-functional teams to identify gaps, uncover patterns, and generate actionable insights that drive sales growth and improve team effectiveness.

• CRM Analysis:
  • Evaluate team performance based on CRM data (e.g., activity tracking, conversion rates, pipeline health).
  • Identify opportunities to increase sales within strategic (big) accounts.
  • Provide insights to improve sales processes and customer engagement.
• SAP Data Analysis:
  • Analyze sales, inventory, and transaction data from SAP.
  • Detect inconsistencies, patterns, and operational inefficiencies.
  • Create dashboards or reports for relevant KPIs.
• Integrate insights from CRM and SAP data into broader market intelligence reporting.
• Monitor competitor activity and customer behavior trends using internal and external data sources.
• Provide regular reports on market gaps, growth opportunities, and emerging trends.
• Sales Strategy Support:
  • Work with sales leadership to optimize strategies for key accounts.
  • Help define KPIs and benchmarks to track ongoing performance.
  • Propose data-backed recommendations to support business growth.

• Bachelor’s degree in business, Data Science, Marketing, or a related field.
• 3+ years of experience in business analysis, preferably within sales or market intelligence roles.
• Strong experience with CRM platforms (e.g., Salesforce, HubSpot) and SAP.
• Proficient in data visualization tools (e.g., Power BI, Tableau) and Excel.
• Strong analytical mindset with a keen eye for identifying trends and insights.
• Excellent communication and presentation skills.

• Experience working in a B2B sales environment.
• Familiarity with SQL or data modeling is a plus.
• Ability to work independently and manage multiple priorities.

Overview

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

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

Location: On-site, Dubai, Dubai, United Arab Emirates

Job Summary:

Join our team as a Business Data Analyst at the forefront of digital transformation within a leading UAE bank. In this pivotal role, you will bridge business stakeholders and technology teams, applying deep analytical expertise to drive insights, optimize processes, and elevate customer journeys across key digital banking initiatives. Embrace an asynchronous work culture that values exceptional written communication and proactive problem-solving.

• Elicit, analyze, and document business requirements, user stories, and process flows for digital projects.
• Act as a key liaison between business units and technical teams to ensure clear understanding of project objectives.
• Conduct gap analysis and impact assessments for new features and system changes within core banking functions.
• Participate in Agile/Scrum ceremonies, including sprint planning, backlog grooming, and daily stand-ups.
• Design and execute test scenarios, supporting user acceptance testing (UAT) and solution validation.
• Write complex SQL queries to extract and analyze large datasets, generating actionable insights and KPI reports with Power BI.
• Translate analytical findings into clear, data-driven recommendations and presentations for diverse stakeholders.

• Bachelor’s degree in Computer Science, Engineering, Finance, Business, or a quantitative discipline.
• 5-9 years’ experience as a Business Analyst, with a strong background in Banking, Financial Services, or FinTech.
• High proficiency in SQL and PL/SQL, with hands-on experience in Power BI for data visualization.
• Proven experience working with core-banking systems and exposure to digital transformation projects.
• Solid understanding of Agile methodologies (Scrum, Kanban) and expertise with JIRA.
• Exceptional written communication skills, adept at working in asynchronous, collaborative environments.
• Strong analytical and critical thinking abilities with excellent stakeholder management.

• Relevant professional certifications (CBAP, PMI-PBA, Agile Scrum, Data Analytics).
• Experience with data modeling, Python or R for advanced analytics, and systems like Flexcube or OFSAA.
• Expertise in digital banking products, customer journey mapping, and process optimization.

Become part of our team and contribute to high-impact initiatives, working on projects that set industry standards and drive meaningful change. We foster an inclusive, high-performing culture offering career development opportunities, comprehensive benefits, and a collaborative environment to help you thrive.