90 Data Mining jobs in Dubai

A Business Intelligence Developer is needed to shape our data and analytics team.

Key Responsibilities:

• Convey actionable insights to customers using data visualization techniques.
• Utilize business acumen and analytical skills to drive data-driven decision making.
• Collaborate with cross-functional teams to develop intuitive, well-planned solutions.

• Proven track record of applying visualization principles and best practices.
• Experience working with client and marketing data.

This role offers opportunities for growth and development across the organization.

For more details about this opportunity, please contact our HR team.

At Idealz Holding, we're redefining retail with our flagship "Shop & Win" model — transforming everyday shopping into extraordinary winning experiences. With a presence spanning 4 continents and over $100M in prizes awarded, we sit at the intersection of commerce, technology, and data. Data is the heartbeat of our growth — powering smarter decisions, sharper campaigns, and stronger customer loyalty. We're now looking for a Manager – Data Analytics & Insights to unlock opportunities hidden in the numbers and turn them into strategies that fuel expansion.

Role Description

As the Manager – Data Analytics & Insights, you will be responsible for building and optimizing data-driven frameworks that guide decision-making across Idealz. You'll analyze financial, operational, and customer data, design predictive models, and deliver insights that shape campaigns, customer engagement, and revenue strategy. This role is perfect for someone who thrives at the intersection of analytics and business strategy — able to zoom into the data while advising leadership at the highest level.

• Build and manage analytics frameworks, dashboards, and reporting systems for real-time business intelligence.
• Analyze customer behavior, campaign performance, and business KPIs to uncover growth opportunities.
• Develop predictive models and ROI-driven insights to optimize campaigns and product performance.
• Partner with product, marketing, and operations teams to ensure strategies are insight-backed and commercially impactful.
• Monitor key KPIs to drive improvements in conversion, retention, and overall revenue performance.
• Conduct competitive and market analysis to support innovation and expansion strategies.
• Present insights and recommendations to senior leadership, influencing strategic direction.
• Promote a data-first culture across the organization by empowering teams to make informed decisions.
• 6–10 years of experience in data analytics, business insights, or data science, ideally within B2C, retail, e-commerce, or tech-driven businesses.
• Strong skills in SQL, Python/R, and BI tools (Tableau, PowerBI, Looker, etc.).
• Proven ability to translate large, complex datasets into actionable business strategies.
• Experience with predictive modeling, campaign analysis, and customer lifecycle analytics.
• Excellent communication and storytelling ability to influence both technical and non-technical stakeholders.
• Strong business acumen with a deep understanding of customer behavior, funnel optimization, and campaign ROI.
• Bachelor's/Master's degree in Data Science, Statistics, Economics, Business Analytics, or a related field.

• Initial screening with Global Head of HR
• Second interview with Senior Manager – Strategy
• Case study / business analytics assignment
• Interview with General Manager
• Final interview with CEO
• Process typically concludes within 3–4 weeks.

At Idealz Holding, you'll join a fast-paced, global team that thrives on innovation, data, and disruption. This role gives you the opportunity to shape the analytics backbone of a company reinventing retail on a global stage. You'll have the freedom to experiment, the tools to deliver impact, and the platform to influence strategy at the highest level.

• Mid-Senior level

• Full-time

• Information Technology

• Technology, Information and Internet

Referrals increase your chances of interviewing at Idealz Holding. Get notified about new Data Manager jobs in Dubai, United Arab Emirates.

We are seeking an experienced Operations Manager to join our team. The ideal candidate will have a strong background in data analysis, business analytics, and strategic planning.

The Operations Manager will be responsible for identifying trends, issues or gaps, analyzing and coming up with creative ideas to address issues.

• Data-Driven Insights
• Strategic Planning
• Process Design
• Cost Optimization

The successful candidate will have excellent English communication and composition skills, as well as exceptional problem-solving, project management, and analytical skills.

• 3-5 years of experience in fast-growing industries, preferably in the crypto industry
• Past experience in data analytics, business analytics, strategic planning, and/or user operations
• Excellent leadership, problem-solving, and communication skills

• A dynamic and fast-paced work environment
• Ongoing professional development and growth opportunities
• A competitive salary and benefits package

Effective business decisions are crucial for organizational success in today's fast-paced business environment. Professionals need data analysis skills to make informed decisions. This 5-day course will highlight the added value of data analytics as a decision support tool in management.

This course features discussions on data analytics applications, the importance of data, and applying data analytical methods through worked examples.

• Data analytics discussions
• Data significance
• Data application

• Explain data analytics scope and structure
• Apply cross-sections of useful data analytics
• Critically assess statistical evidence
• Identify relevant data analytics applications

• Management support professionals
• Analysts regularly encountering data/analytical information
• Professionals seeking greater decision-making value from data analytics

This course utilizes adult learning techniques for maximum understanding and retention. Daily workshops are highly interactive and participative.

1. Day One: Setting the Statistical Scene in Management
   • Introduction; The quantitative landscape in management
   • Thinking statistically about applications in management
   • The integrative elements of data analytics
   • Data: The raw material of data analytics
   • Exploratory data analysis using Excel
2. Day Two: Evidence-based Observational Decision Making
   • Numeric descriptors to profile sample data
   • Central location measures
   • Quantifying dispersion in sample data
   • Examining distribution measures
   • Exploring relationships between numeric descriptors
3. Day Three: Statistical Decision Making – Drawing Inferences from Sample Data
   • The foundations of statistical inference
   • Quantifying uncertainty in data
   • The importance of sampling in inferential analysis
   • Sampling methods
   • Understanding the sampling distribution concept
4. Day Four: Statistical Decision Making – Drawing Inferences from Hypotheses Testing
   • The rationale of hypotheses testing
   • Hypothesis testing process and types of errors
   • Single population tests
   • Two independent population tests
   • Matched pairs test scenarios
5. Day Five: Predictive Decision Making - Statistical Modeling and Data Mining
   • Exploiting statistical relationships to build prediction-based models
   • Model building using regression analysis
   • Predictive data mining – management applications

At Idealz Holding, we’re redefining retail with our flagship “Shop & Win” model — transforming everyday shopping into extraordinary winning experiences. With a presence spanning 4 continents and over $100M in prizes awarded, we sit at the intersection of commerce, technology, and data. Data is the heartbeat of our growth — powering smarter decisions, sharper campaigns, and stronger customer loyalty. We’re now looking for a Manager – Data Analytics & Insights to unlock opportunities hidden in the numbers and turn them into strategies that fuel expansion.

Role Description

As the Manager – Data Analytics & Insights, you will be responsible for building and optimizing data-driven frameworks that guide decision-making across Idealz. You’ll analyze financial, operational, and customer data, design predictive models, and deliver insights that shape campaigns, customer engagement, and revenue strategy. This role is perfect for someone who thrives at the intersection of analytics and business strategy — able to zoom into the data while advising leadership at the highest level.

• Build and manage analytics frameworks, dashboards, and reporting systems for real-time business intelligence.
• Analyze customer behavior, campaign performance, and business KPIs to uncover growth opportunities.
• Develop predictive models and ROI-driven insights to optimize campaigns and product performance.
• Partner with product, marketing, and operations teams to ensure strategies are insight-backed and commercially impactful.
• Monitor key KPIs to drive improvements in conversion, retention, and overall revenue performance.
• Conduct competitive and market analysis to support innovation and expansion strategies.
• Present insights and recommendations to senior leadership, influencing strategic direction.
• Promote a data-first culture across the organization by empowering teams to make informed decisions.
• 6–10 years of experience in data analytics, business insights, or data science, ideally within B2C, retail, e-commerce, or tech-driven businesses.
• Strong skills in SQL, Python/R, and BI tools (Tableau, PowerBI, Looker, etc.).
• Proven ability to translate large, complex datasets into actionable business strategies.
• Experience with predictive modeling, campaign analysis, and customer lifecycle analytics.
• Excellent communication and storytelling ability to influence both technical and non-technical stakeholders.
• Strong business acumen with a deep understanding of customer behavior, funnel optimization, and campaign ROI.
• Bachelor’s/Master’s degree in Data Science, Statistics, Economics, Business Analytics, or a related field.

• Initial screening with Global Head of HR
• Second interview with Senior Manager – Strategy
• Case study / business analytics assignment
• Interview with General Manager
• Final interview with CEO
• Process typically concludes within 3–4 weeks.

At Idealz Holding, you’ll join a fast-paced, global team that thrives on innovation, data, and disruption. This role gives you the opportunity to shape the analytics backbone of a company reinventing retail on a global stage. You’ll have the freedom to experiment, the tools to deliver impact, and the platform to influence strategy at the highest level.

• Mid-Senior level

• Full-time

• Information Technology

• Technology, Information and Internet

Referrals increase your chances of interviewing at Idealz Holding. Get notified about new Data Manager jobs in Dubai, United Arab Emirates.

Our client is an international law firm and they are currently wishing to recruit an experienced law firm Data Analytics Specialist.

They are seeking a specialist with technical skills in data analysis who is comfortable doing formulas and data analysis on massive excel spreadsheets.

You must be experienced in using visio; design PPT presentations; etc.

This person would be a timekeeper and would bill time like a paralegal, but the real emphasis here isn’t on research, but rather technical/analysis skills.

• You would fix coding errors and other data-related problems.
• Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.
• Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.

Please email your CV ASAP to discuss.

Job Title: Project Manager – Data & Analytics
Location: Dubai, UAE
Client: Leading Banking Group
Job Type: Full-time | Onsite

About the Role:
We are seeking a highly experienced Project Manager to lead and deliver strategic Data & Analytics initiatives for one of the largest banks in the region. The ideal candidate should have a strong background in managing complex IT/data projects using Agile or hybrid delivery models and a proven ability to work with senior business and technical stakeholders.

Key Responsibilities:

• Drive end-to-end project lifecycle management for Data & Analytics programs
• Collaborate with cross-functional teams (Data Engineering, Analytics, Business SMEs) to define project scope and timelines
• Manage project risks, interdependencies, and ensure alignment with business goals
• Deliver projects on time, within scope, and budget with high-quality standards
• Provide regular updates and reports to PMO, business owners, and steering committees
• Ensure compliance with internal governance, audit, and quality standards
• Conduct project retrospectives and identify continuous improvement opportunities

Required Experience:

• 8+ years of experience as an IT Project Manager with minimum 3 years managing Data & Analytics or Data Platform initiatives
• Strong expertise in project planning, tracking, risk/issue management
• Experience delivering projects using Agile, Waterfall or Hybrid methodologies
• Excellent communication, stakeholder engagement, and vendor coordination skills
• Experience working with or for consulting firms is preferred
• Experience in banking/financial services industry is a plus

Education & Certifications:

• Bachelor's degree in IT, Engineering, or related field
• PMP / Prince2 / Agile Scrum certifications are mandatory

Why Join?

• Work with a reputed bank on high-impact data transformation programs
• Competitive compensation and career growth opportunities
• Collaborative and dynamic working environment

Job Description

We are seeking a motivated and analytical Recruitment & Data Analytics Intern to join our dynamic team in Dubai, United Arab Emirates. This internship offers a unique opportunity to gain hands-on experience in both recruitment processes and data-driven decision-making within a corporate environment.

• Assist in various stages of the recruitment process, including sourcing, screening, and scheduling interviews
• Collect, clean, and analyze recruitment data to identify trends and patterns
• Support the development and maintenance of recruitment metrics and dashboards
• Collaborate with HR team members to optimize recruitment strategies based on data insights
• Assist in the implementation and utilization of Applicant Tracking Systems (ATS)
• Conduct research on industry hiring trends and best practices
• Participate in projects aimed at improving recruitment efficiency and effectiveness
• Prepare reports and presentations on recruitment analytics

• A bachelor's degree in Human Resources, Business Administration, Data Science, Statistics, or related field
• Proficiency in data analysis software such as Excel
• Familiarity with Applicant Tracking Systems (ATS) and basic HR processes
• Strong analytical and problem-solving skills
• Excellent communication skills in English; Arabic is a plus
• Keen attention to detail and ability to work with confidential information
• Effective time management and organizational skills
• Ability to work collaboratively in a team environment
• Enthusiasm for learning and applying data-driven approaches to recruitment
• Academic projects or coursework related to HR or data analysis preferred

What will you get?

• An exciting international environment of projects, customers and consultants
• Extensive training opportunities in data analytics and data engineering.
• Competitive salary

Job Summary

We are seeking a seasoned data scientist to drive our analytics practice forward. The ideal candidate will have extensive experience in leading data science teams and developing innovative solutions.

• Develop and implement advanced data analytics strategies
• Leverage expertise in machine learning and statistical analysis to drive business growth
• Pioneer new analytics use cases and projects, driving the growth of our analytics practice

Key Responsibilities:

• Lead cross-functional teams in developing and executing data-driven initiatives
• Drive business growth through strategic data analytics and insights
• Collaborate with stakeholders to identify and prioritize key business objectives

• Design and implement advanced analytics frameworks to drive business outcomes
• Develop and maintain predictive models to inform business decisions
• Identify areas for process improvement and implement changes to optimize analytics efficiency

• Engage with clients to understand their business needs and develop tailored analytics solutions
• Brief clients on project status, findings, and recommendations

• Strong technical skills in data science, including proficiency in Python, R, SQL, and Tableau
• Experience with big data technologies (e.g., Hadoop, Spark) is a plus
• Excellent leadership, communication, and problem-solving skills

• Bachelor's degree in computer science, statistics, mathematics, or related field
• Post Graduate degree in Computer Science will be an added advantage
• Experience with predictive modeling, machine learning, and data governance is a plus