920 Analytics Specialist jobs in the United Arab Emirates

We are seeking a skilled Software Engineer to join our dynamic team. As a key member of our engineering team, you will have the opportunity to work on exciting projects, develop cutting-edge solutions, and collaborate with cross-functional teams to drive innovation.

• Design, develop, and maintain comprehensive software solutions utilizing advanced data analytics and artificial intelligence.
• Collaborate closely with cross-functional teams, including product management and design, to thoroughly understand project requirements and provide technical insights.
• Implement and advocate for best practices in code quality, performance optimization, and software architecture to ensure the creation of robust, scalable, and efficient applications.
• Participate actively in code reviews, testing processes, and debugging sessions to ensure the delivery of high-quality software products that adhere to industry standards and client expectations.

• Demonstrating a foundational understanding of computational theories, programming concepts, and software design principles.
• 4+ years of hands-on experience in software development, showcasing proficiency and extensive coding skills in programming languages such as Python.
• Strong understanding and practical application of data analytics and artificial intelligence methodologies.
• Excellent problem-solving skills with the ability to think critically and work collaboratively in a small team environment.

• Opportunity to work on exciting projects for leading companies in various industries.
• Dynamic, fast-paced work environment with opportunities for growth and advancement.
• Collaborative team culture with a focus on teamwork and continuous learning.

If you are passionate about solving real-world problems with technology, we encourage you to apply for this exciting opportunity.

We are seeking a detail-oriented and analytical professional to join our team. The ideal candidate will have strong expertise in SQL and SSRS to develop, manage, and optimize reports while ensuring data accuracy and integrity.

• Create complex SQL queries for data extraction, transformation, and reporting.
• Develop, maintain, and enhance SSRS reports based on business requirements.
• Develop, maintain, and enhance BI reports based on business requirements.
• Collaborate with stakeholders to understand reporting needs and translate them into technical solutions.
• Ensure data accuracy, consistency, and performance across reports and queries.
• Troubleshoot and resolve issues related to SQL queries and SSRS reports.
• Perform data validation and quality checks to ensure reliable reporting outputs.
• Support ad hoc reporting requests and provide insights through data analysis.

The successful candidate will possess:

• Proficiency in writing complex SQL queries for data analysis and reporting.
• Hands-on experience in developing and managing reports using SSRS and Power BI.
• Strong understanding of relational databases (e.g., SQL Server, Oracle).
• Ability to translate business requirements into technical report designs.
• Excellent problem-solving skills and attention to detail.
• Good communication and collaboration abilities.

Becoming part of our dynamic team will bring the following benefits:

• Opportunity to work on diverse projects and challenges.
• Collaborative and supportive work environment.
• Continuous learning and growth opportunities.

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

Job Description:

We are seeking a skilled professional to analyze product, market, and share trends in data warehouses. The ideal candidate will have strong technical skills to translate business needs into technical specifications.

Key Responsibilities:

• Analyze data trends to build comprehensive reporting systems.
• Develop reporting systems that provide accessible information for informed decision-making.
• Maintain data analytics platforms to ensure efficient performance.

Requirements:

• Strong analytical and problem-solving skills.
• Ability to communicate complex ideas effectively.
• Familiarity with data analytics tools and technologies.

Benefits:

• Able to work on a contract basis with flexible duration.

Other:

• Opportunity to work on challenging projects and develop new skills.

We are seeking an experienced professional to fill the role of Pre Sales Consultant. As a key member of our team, you will be responsible for identifying and researching potential clients, creating and nurturing opportunities, and leading presales activities.

Your primary focus will be on delivering exceptional service to our clients, building strong relationships with them, and ensuring that their needs are met. You will work closely with the sales team and account managers to identify new markets and customer needs, create and present proposals, and develop strategic partnerships to grow business.

In this role, you will have the opportunity to utilize your expertise in data analytics (AI/ ML BI Data Engineering etc.) and understand the concept of DWH / Data lakes MDM etc. Experience in tools such as Alteryx Snowflake Qlik PowerBI etc. will be preferred.

You will also be responsible for tracking and reporting on the status of proposal components, building long-term relationships with new and existing customers, and developing and managing strategic partnerships to grow business.

• Proven working experience as a PreSales Consultant or a relevant role
• Expertise in data analytics (AI/ ML BI Data Engineering etc.) and understanding of the concept of DWH / Data lakes MDM etc.
• Strong experience in direct interaction with customers related to data & AI preferably in the Middle East Region.
• Ability to independently have conversation with point of view on data & AI to CXO and Head of Digital and/or Data
• Has been in data & AI technical solutions roles in the past with the ability to size up deals
• Should be knowledgeable in cross-industry use cases for data engineering AI/ML
• Strong knowledge of the relevant partner ecosystem and the ability to collaborate within the ecosystem
• Excellent problem-solving, business communication (written & oral) and client management skills are essential
• Experience developing opportunity pipelines qualifying high-priority deals and winning new business in line with agreed targets
• Proven leadership qualities such as conflict/issue resolution, strategic and critical thinking, and ownership particularly with highly diverse teams
• Ability to work collaboratively in a cross-cultural and diversified environment

This role offers a unique opportunity to work with a dynamic team, develop your skills and expertise, and contribute to the growth and success of our organization.

Contract

We are seeking a highly motivated and action-oriented Power BI developer to join our data analytics team.

This role provides hands-on experience with Power BI, Power Apps, and data-driven decision-making processes. The successful candidate will work closely with cross-functional teams to develop dashboards, automate processes, and support business reporting needs.

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

Job Title: Business Intelligence Developer

As a seasoned Business Intelligence Developer, you will be responsible for designing and implementing scalable data workflows using Alteryx and Tableau.

• Develop efficient and optimized SQL queries for data extraction and reporting.
• Apply advanced analytics techniques using Python or R for scripting or automation tasks.

We are seeking a skilled professional with a strong background in data analysis, business intelligence, and software development.

• Minimum 5 years of experience in data analysis, business intelligence, or related fields.
• Hands-on experience in Alteryx and Tableau.
• Proficiency in SQL and relational databases.
• Experience with Python or R for data manipulation or modeling.

As a Business Intelligence Developer, you will have the opportunity to work on exciting projects and collaborate with cross-functional teams.

• Collaborate with cross-functional teams to gather and analyze requirements.
• Maintain proper documentation of workflows, dashboards, and processes.

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.