222 Market Dynamics jobs in the United Arab Emirates

Qualifications: Bachelor's in Computer Applications (Computers)

Nationality: Any

Vacancy: 1

The Role: We are looking for a Business Intelligence - Pricing Specialist who is obsessed with numbers, allergic to copy-paste strategies, and curious about how pricing can drive revenue, demand, and market dominance. This is not a typical hotel revenue manager role. If your last job was at a traditional hotel chain and all you did was adjust BAR rates, this probably isn't for you.

You will build and lead Stella's pricing engine across all markets, report directly to the CEO, and work closely with sales, marketing, and tech teams. You'll be hands-on, analytical, and experimental, constantly testing, adjusting, and learning what works in each market.

Bonus points if you are already using ChatGPT, Excel wizardry, or other AI tools to work smarter. We like people who push the edge of what's possible.

• Own and evolve our pricing strategy for short- and long-term stays
• Analyze data, trends, booking pace, and competitor behavior
• Design pricing experiments (early bird offers, last-minute drops, bundling, etc.)
• Build dashboards, uncover insights, and make bold recommendations
• Work directly with the CEO to define revenue goals and growth levers
• Collaborate with sales and marketing teams on seasonal and tactical campaigns
• Drive automation and optimization through our internal PMS

• 3-7 years in pricing, business analytics, or strategy (travel, e-commerce, real estate, or tech)
• Exceptional with Excel/Sheets; bonus for SQL, Python, or AI tool experience
• Curious about OTA mechanics (Airbnb, , Expedia, etc.)
• Creative thinker who isn't afraid to test, fail, and improve fast
• Strategic mindset with the discipline to execute daily
• Strong communicator confident to challenge ideas and lead decisions

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This is a dynamic and challenging role that requires an individual with exceptional analytical skills and the ability to communicate complex ideas in a clear and concise manner.

As a Business Intelligence Expert, you will be responsible for developing sophisticated analytical solutions that integrate diverse information assets to achieve incremental revenue or reduction in costs or mitigating financial risks.

1. Key Responsibilities:
2. Strategic Responsibilities:
• Develop & conceptualize innovative analytical solutions that leverage diverse information assets to drive business value.
• Lead the discovery process for analytics opportunities with stakeholders to identify business requirements and expected outcomes.
• Make strategic recommendations on data collection, integration, and retention requirements incorporating business needs and knowledge of best practices.
• Define standard metrics and KPIs for measuring the success of analytics engagements undertaken and establish processes to measure them.
• Educate colleagues on new approaches such as testing hypotheses and statistical validation of analytical results.
3. Core Responsibilities:
• Apply advanced statistical and predictive modelling techniques to build, maintain, and improve multiple decision systems.
• Design experiments and test business hypotheses.
• Identify available and relevant data sources including internal and external data leveraging new data collection processes such as geolocation data, unstructured data sources like emails, log files, social media, etc.
• Develop innovative approaches to solve business problems using Analytics and communicate results and methodologies.
• Utilize patterns and variations in data volume, speed, and other characteristics to support initiatives, type of data (e.g. Images, text, clickstream or metering data) in predictive analysis.
• Provide ongoing tracking and monitoring of performance of decision systems and statistical models built by the data science unit.
• Recommend & implement ongoing improvements to methods and algorithms leading to findings including new information & patterns in the data.
• Establish conducive ecosystem for analytics using tools, processes, vendors, etc. within the organization enabling adoption of analytics across departments.
• Play the role of bank wide machine learning and Artificial Intelligence expert to use these techniques to solve real business problems.
4. People Management Responsibilities:
• Coach & groom data scientists on gaining knowledge & skills on principles of analytics techniques, problem solving, project management, client relationship management & team work skills.
• Responsible to hire, train, motivate, and continuously develop skillsets of the data scientists in the team.
• Define goals and key performance indicators for each member of data science team and coordinate performance management review process for the team.

• Analyzing and interpreting large datasets to identify trends and patterns.
• Creating detailed reports and presentations to communicate findings to stakeholders.
• Developing and maintaining databases and data systems to ensure accurate and efficient data management.
• Collaborating with cross-functional teams to integrate data-driven insights into business strategies.

• A minimum of 3 years of experience as a Data Analyst, Reports Analyst, Business Analyst, or related role involving data reporting/science.
• Hands-on experience converting PDFs into spreadsheets as part of reporting workflows.
• Proven experience working with educational data, high school transcripts, or GPA calculations.
• Advanced Excel skills including formulas, pivot tables, and data visualization.
• Strong analytical skills with attention to detail and ability to identify edge cases.

• A computer with at least 8GB RAM, an Intel i5 core processor/AMD Ryzen 5 Processor and up.
• An internet speed of at least 40MBPS.
• A headset with an extended mic that has noise cancellation and a webcam.
• A back-up computer and internet connection.
• A quiet, dedicated workspace at home.

• Expertise in Excel (formulas, pivot tables, charts).
• Skilled in data extraction and transformation from complex documents (PDFs to spreadsheets).
• Strong written communication skills for clear documentation and collaboration.
• Ability to learn quickly, work independently, and manage time effectively.
• Detail-oriented mindset with a passion for data accuracy and quality.
• Collaborative attitude with experience working cross-functionally.

The ideal candidate will have excellent problem-solving skills, a strong understanding of data analysis concepts, and the ability to communicate complex ideas simply.

We are seeking a highly skilled Business Intelligence Analyst to join our team. As a key member of our organization, you will be responsible for analyzing complex business data to inform strategic decisions and drive business growth.

Your primary focus will be on designing, developing, and maintaining business intelligence solutions that provide actionable insights to stakeholders. This will involve working closely with cross-functional teams to understand business needs, identifying opportunities for process improvements, and implementing data-driven solutions.

In addition to your technical skills, you will need to possess excellent communication and interpersonal skills to effectively present complex data insights to both technical and non-technical stakeholders.

The ideal candidate will have a strong understanding of business analysis methodologies, data visualization tools, and programming languages such as SQL, Python, or R.

If you are a motivated and detail-oriented individual with a passion for data analysis and business growth, we encourage you to apply for this exciting opportunity.

Dasseti is a rapidly growing, global fintech that helps institutional investors and investment managers meet data exchange, monitoring, risk management and compliance needs at every stage of the investment lifecycle.

We are seeking a motivated and detail-oriented Data / BI Analyst to join our growing team. This role is ideal for someone with 2 to 4 years of experience in data analysis, business intelligence, or related roles. You will assist in developing dashboards, analysing data, and supporting the reporting needs of both internal teams and clients.

You will work alongside senior analysts and developers, helping to translate business requirements into actionable insights, build visualizations, and maintain data processes.

Key responsibilities and duties

• Support the design and maintenance of BI dashboards and reports in Tableau, Power BI, or similar tools.
• Assist in collecting and analysing business requirements from internal stakeholders.
• Perform data extraction, cleaning, and transformation using SQL and other tools.
• Maintain technical documentation for reporting processes and dashboards.
• Collaborate with the engineering and data teams to ensure data accuracy and consistency.
• Help investigate and resolve data-related issues and inconsistencies.
• Participate in testing and validation of BI solutions.
• Create simple user guides and walkthroughs for internal and client-facing reports.

Skills and background

Education

• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related fields.

Background, Experience and Knowledge

• 2 to 4 years of experience in data analysis, reporting, or business intelligence roles.
• Hands-on experience with BI tools such as Tableau, Power BI, or equivalent.
• Good working knowledge of SQL for querying and manipulating data.
• Strong attention to detail with an analytical mindset, combined with a passion for crafting visually compelling dashboards that convey data accurately and support storytelling and user engagement.
• Excellent soft skills and a demonstrated ability to multitask and manage time efficiently.
• Comfortable working in a fast-paced environment and open to flexible hours to coordinate with global teams.
• Exposure to data warehousing concepts and cloud platforms (e.g., Fabric, Redshift, BigQuery, or Azure Synapse) is a plus.
• Familiarity with data modeling, ETL processes, and basic scripting (Python or R is a plus).

The above specifications are not intended to reflect all duties to be performed within the job. The incumbent may be required to perform additional duties or projects either arising from the scope of the position or based on Dasseti's overall business needs.

• Entry level

• Full-time

• Research, Analyst, and Information Technology

• Software Development

Key Responsibilities:

• Analyze data from various sources to identify trends and insights, and develop actionable recommendations.
• Develop and maintain data dashboards, reports, and visualizations to track key performance indicators (KPIs).
• Conduct statistical analysis to support decision-making processes.
• Prepare clear and concise reports for technical and non-technical audiences in both Arabic and English.
• Design visually appealing presentation materials using tools like PowerPoint or other visualization software.
• Present findings to internal teams, stakeholders, and clients ensuring clarity and engagement.
• Work closely with cross-functional teams to understand data needs and business goals.
• Translate technical data into business insights to support strategic decision-making.

Education: Bachelor's degree in Data Science, Statistics, Business Analytics, Computer Science, or a related field. A Master's degree is a plus.

Technical Skills: Proficiency in data analysis tools such as Excel, SQL, Python, or R. Experience with visualization tools like Tableau, Power BI, or similar. Strong understanding of statistical analysis and modeling.

Languages: Fluent in Arabic (spoken and written). Fluent in English (spoken and written).

Soft Skills: Excellent communication and interpersonal skills. Strong presentation and public speaking abilities. Detail-oriented with strong problem-solving skills.

Experience: Proven experience in a data analytics role. Experience preparing and delivering bilingual presentations is highly desirable.

We are seeking a highly analytical and business-savvy professional to drive data-informed decision-making across the organization.

This role is responsible for building and optimizing visualizations, automating reporting workflows, and delivering insights that support performance optimization, forecasting, and operational efficiency.

• Design, develop, and maintain interactive dashboards and reports to monitor key performance indicators related to sales, lead generation, customer behavior, marketing ROI, and financial metrics.
• Analyze large, complex datasets to uncover business trends, identify areas of opportunity, and support strategic planning.
• Automate data collection, cleaning, validation, and reporting processes using tools such as Power BI, Python, or R.
• Support forecasting, budgeting, and planning processes by providing historical insights and building predictive models.
• Lead efforts to promote self-service analytics by creating intuitive dashboards and reusable data assets tailored to the needs of different teams (e.g., Sales, Marketing, Finance).
• Cross-functionally collaborate to gather requirements and deliver actionable insights that improve processes and team outcomes.
• Ensure data quality, integrity, and accuracy through rigorous validation, documentation, and continuous improvement of data sources and pipelines.
• Analyze existing operational workflows and systems, identifying bottlenecks and proposing improvements to enhance process efficiency and scalability.
• Provide project management and technical leadership on analytics-related initiatives.

• 5+ years of experience in business intelligence, data analysis, or relevant analytical roles.
• Proficiency in statistical analysis, data mining, and using tools like R, Python, or SQL to analyze large datasets.
• Experience creating compelling reports and dashboards using Power BI to communicate findings effectively.
• Proactive in identifying data anomalies and developing solutions, demonstrating strong critical thinking skills.
• Ability to interpret data, identify trends, and extract meaningful insights to support business decisions.
• Ensuring data accuracy and integrity in all analyses and reports.
• Familiarity with machine learning techniques and tools can be a plus.

About this Role

We are seeking a skilled Data Specialist to deliver data platforms and pipelines within a Databricks on Azure environment.

As part of a collaborative team, you'll work closely with experts to build scalable data solutions that meet client needs.

Ideal candidates have strong hands-on experience in Databricks, Python, and ADF, with the ability to adapt to fast-paced consulting engagements.

Data Solutions Expertise:

This is an exciting opportunity for individuals who want to gain hands-on experience in data-driven decision-making.

The selected candidate will be responsible for assisting in gathering and preparing data from various sources, cleaning, transforming, and analyzing data to ensure quality and accuracy, and supporting data analysis, hypothesis testing, and exploratory data analysis (EDA).

Additionally, the individual will help build and validate predictive models using basic machine learning techniques and generate reports and create data visualizations to highlight business insights.

• Currently undergoing bachelor's or master's degree in data science, data engineering, business analytics, or a related field
• Basic knowledge of programming languages (python preferred) and data analysis tools (e.g., sql, excel)
• Basic knowledge of data visualization tools (power bi, tableau) is a plus
• Completed coursework in ai, machine learning, deep learning, and natural language processing (nlp)

• Mentorship from experienced professionals in business and data
• Exposure to real-world data challenges and solutions
• Opportunity to contribute to meaningful projects that impact business outcomes