33 Biostatisticians jobs in the United Arab Emirates

Business Intelligence Lead

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• This role is a leadership position in our Business Intelligence department.
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• We are seeking a highly skilled and experienced professional to lead our BI projects from start to finish.
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• The ideal candidate will have a strong background in data analysis, business acumen, and technical project management.
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Key Responsibilities:

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• Lead the development of business intelligence solutions that meet customer needs.
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• Collaborate with cross-functional teams to ensure effective communication and delivery.
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• Maintain high-quality standards for all deliverables.
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• Ensure timely completion of projects.
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Required Skills and Qualifications:

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• 5+ years of experience in Business Intelligence, with at least 2 years in a managerial or leadership capacity.
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• Proven track record of managing and delivering multiple end-to-end BI or data integration projects.
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• Strong understanding of BI and data architecture concepts, including ETL processes, data modeling, and data governance.
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• Proficiency in SQL and familiarity with programming languages such as Python or R.
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• Familiarity with cloud data platforms such as GCP (BigQuery, Dataflow, Cloud Composer) or Azure is a strong advantage.
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• Demonstrated ability to lead teams, manage multiple projects, and communicate effectively with both technical and non-technical stakeholders.
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• Strong understanding of the software development lifecycle and agile project management methodologies.
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Benefits:

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• Opportunity to work on challenging and impactful projects.
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• Collaborative and dynamic work environment.
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• Possibility for career growth and advancement.
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Other Information:

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• R-2721P-3082
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• Not Applicable
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• Full-time
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• Research, Analyst, and Information Technology
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• Industries: Advertising Services
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We are seeking a detail-oriented and skilled Data Scientist to drive informed decision-making and innovation across the organization.

• Create actionable insights and predictive models that inform strategic business outcomes.
• Develop robust, explainable data science models that meet business objectives.
• Maintain data quality and integrity throughout the data lifecycle.
• Collaborate with cross-functional teams to embed models into production environments.
• Evaluate data usage for governance, privacy, and regulatory compliance.

Key Requirements:

• 4+ years of experience in data science or a related field.
• University degree or relevant technology certifications.
• Experience following Agile methodologies (certification desirable).
• Excellent communication skills and high proficiency in programming languages such as SQL and Python.

We operate globally, serving customers across multiple continents. Our goal is to deliver exceptional service while driving growth and innovation.

• Machine Learning
• Data Visualization using Matplotlib, Seaborn, Plotly, or BI tools like Tableau
• Cloud platforms such as MS Azure and Databricks

Business intelligence specialists in Dibba-El-Fujairah, UAE

We are looking for a skilled business intelligence specialist to join our team. We require an analytical individual who can assist us in refining our data analysis solutions.

The ideal candidate will leverage their knowledge of analytics, database management systems, and statistical software to analyze and document findings from datasets. As a business intelligence specialist, they will be responsible for creating interactive dashboards, generating reports, and providing actionable insights to the team. Additionally, they will collaborate with other departments to ensure accurate data entry.

To be considered for this role, you should possess strong problem-solving and critical thinking skills. You should be able to identify relevant data sources and collect data efficiently. Moreover, you should have a solid understanding of programming languages and data visualization tools.

The successful candidate will receive a competitive reward package.

• Analyze and document findings from datasets using analytics, database management systems, and statistical software.
• Create interactive dashboards, generate reports, and provide actionable insights to the team.
• Collaborate with other departments to ensure accurate data entry.

• Strong problem-solving and critical thinking skills.
• Ability to identify relevant data sources and collect data efficiently.
• Solid understanding of programming languages and data visualization tools.

Job Overview

We are seeking an analytical professional to join our team as a Data Analyst Trainee in a remote work environment.

This is an excellent opportunity for fresh graduates or aspiring data professionals to gain hands-on experience in data analysis, visualization, and reporting. The trainee will work closely with our data analytics team to derive insights, optimize business processes, and support decision-making with data-driven solutions.

Key Responsibilities

1. Assist in collecting, cleaning, and organizing data from various sources.
2. Perform basic data analysis and generate reports to identify trends and insights.
3. Support in developing dashboards and visualizations using tools like Excel, Power BI, or Tableau.
4. Work with structured and unstructured data to extract meaningful information.
5. Collaborate with different teams to understand data needs and provide analytical support.
6. Learn and apply statistical techniques, predictive modeling, and data storytelling.
7. Document findings, methodologies, and best practices for future reference.

Requirements

1. Bachelor's degree (or currently pursuing) in Computer Science, Data Science, Statistics, Mathematics, or a related field.
2. Basic understanding of SQL, Excel, and data visualization tools (Power BI / Tableau).
3. Knowledge of Python or R for data analysis is a plus.
4. Strong analytical thinking and problem-solving skills.
5. Attention to detail and ability to work with large datasets.
6. Excellent communication and teamwork skills.
7. Eagerness to learn new tools and technologies in data analytics.

What We Offer

1. Hands-on training and mentorship in data analytics.
2. Opportunity to work on real-world projects and datasets.
3. Flexible remote work environment.
4. Career growth and potential for a full-time position based on performance.

If you are passionate about data and eager to kick-start your career in analytics, we would love to hear from you.

We are seeking a skilled Quantitative Researcher to join our team.

• Our ideal candidate will have extensive experience in market research and strategy implementation, as well as strong analytical and problem-solving skills.

Key Responsibilities:

• Conduct comprehensive market research to identify new trading opportunities;
• Design and implement effective trading strategies based on market research findings;
• Perform thorough analysis of existing trading strategies to enhance risk-adjusted returns and adapt to changing market conditions;
• Collaborate with colleagues to leverage diverse expertise in refining and optimizing strategies.

Qualifications:

• 2+ years of experience in quantitative research/trading with specialization in spreads/option strategies;
• Experience with market-making trading strategies;
• Strong knowledge of statistical analysis, data mining, and predictive modeling;
• Understanding of market microstructure;
• Experience with using L2/L3 market data for research;
• Exceptional quantitative and mathematical skills, adept problem-solving;
• Proficient in any research-oriented programming language (Python preferred) with ability to write efficient code;
• Strong collaborative spirit, work ethics, and determined drive for success, with ability to work both independently and as part of a team;
• Strong communication skills with ability to clearly explain complex ideas.

Preferred Qualifications:

• Advanced degree (PhD or Masters) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Physics, or a related field;
• Good programming skills in programming languages like C/C++ or Rust.

Benefits:

• Full-time employment opportunity;
• Remote work option available;
• Potential for career growth and professional development.

Contact Information:

The role of a data analyst involves collecting, analyzing, and interpreting complex data to help businesses make informed decisions.

Key Responsibilities:

1. Collecting and cleaning data from various sources
2. Performing basic data analysis and generating reports to identify trends and insights
3. Developing dashboards and visualizations using tools like Excel, Power BI, or Tableau
4. Extracting meaningful information from structured and unstructured data
5. Collaborating with different teams to understand data needs and provide analytical support
6. Applying statistical techniques, predictive modeling, and data storytelling
7. Documenting findings, methodologies, and best practices for future reference

Requirements:

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
• Basic understanding of SQL, Excel, and data visualization tools
• Knowledge of Python or R for data analysis is a plus
• Strong analytical thinking and problem-solving skills
• Attention to detail and ability to work with large datasets
• Excellent communication and teamwork skills
• Eagerness to learn new tools and technologies in data analytics

What We Offer:

• Hands-on training and mentorship in data analytics
• Opportunity to work on real-world projects and datasets
• Flexible remote work environment
• Career growth and potential for a full-time position based on performance

We are seeking a talented Business Insights and Data Analysis Specialist to join our team. In this role, you will be responsible for analyzing data from multiple sources to provide actionable insights and trends.

Key Responsibilities:

• Extract valuable business insights from large datasets
• Develop and implement mathematical models to solve complex problems
• Evaluate existing data sources and recommend strategies for improvement
• Design and develop reports, dashboards, and visualizations to communicate data insights effectively
• Collaborate with stakeholders to develop data-driven plans and strategies

Required Skills and Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or related field
• Excellent analytical skills with the ability to interpret complex datasets
• Proficiency in SQL programming language and database management systems (e.g., Oracle)
• Familiarity with statistical analysis software (e.g., SPSS) and reporting tools (e.g., Tableau)

Compensation and Benefits:

• A competitive salary package
• Opportunities for professional growth and development

• Review and monitor the activities and performance of the sales team against the set targets.
• To monitor and report finished goods stocks level and advise the sales personnel accordingly.
• Draft and present the sales presentations, dashboard and proposals
• Keep track of periodical customer feedback and advise corrective steps to improve the services
• Review lost sales and customer accounts and present timely reports to Management.
• Source, procure and analyze data and information to identify potential sales opportunities
• Reviewing analysis of all sales activities and marketing campaigns, with the aim of providing reports and summaries to direct manager, the rest of the team and other functions
• Collaborating with IT and the rest of the team in creating databases to capture all sales data, remaining responsible for the management of these databases and the collection & input of data through sales support team
• Conducting market researches aimed at determining product perceptions, understanding customer needs, evaluating market penetration, analyzing competitors
• Analyzing customers' assortments in order to periodically review them to maximize sales in accordance with forecast levels and stock requirements
• Monitoring the order and sales progress, as well as the sales portfolio, and provide timely and strategic insights to the sales team for target achievement
• Analyzing and assessing demographics, prices and distribution channels
• Creating and managing sales dashboards, which visualizes fundamental performance indicators
• Analyzing competitors' trends and business results, sharing then key info and reports with direct manager, Marketing and Sales function
• Analyzing sales and marketing metrics for identifying effect-cause relationships between financial outcomes and marketing / sales actions to raise profitability
• Providing direct manager with daily and weekly summaries and reports on business results and other key figures for the Team.
• Gather critical data to quickly respond orally and in writing to client information requests.
• Write and publish client meeting summary notes posted to firm wide client relationship management systems.
• Lead the new client on-boarding- supporting clients through the process of opening new accounts with company
• Contact external customers and regional business development personnel to gather information and interpret basic product and service needs of customers and develop equipment solutions to meet needs.
• Draws on basic / developing product knowledge and customer, BD / Sales, and technical advisor input to develop bid proposals or solutions.
• Assist in Contingency Planning with market feasibility reports and detailed analysis.
• Participate in alignment meetings with Demand Supply Planning and Generating Demand
• Review all third-party raw data accuracy, by validating data vs agreed standards
• Continuous cleaning the data and continuous checking about data accuracy appearing in all published reports
• Publish the daily, weekly and monthly sales dash board by segment, region, sales personnel and accompanied with analytical insights
• Tracking new launches performance through designing a tracker and follow up with team about new results performance
• Provide a tracking dynamic report for new sales projects with the historical data along with weekly and monthly progression
• Design the target setting contribution for the team on monthly basis using historical trends by representatives and by segments.
• Distilling insights, opportunity areas and actionable recommendations from qualitative and quantitative analysis
• Ensure integrity of the numbers to enable accurate and timely reporting to support insightful business decisions and performance measurement
• Prepare analyses and deliverables to support corporate processes, e.g., Annual Plan, Quarterly Business Review (QBR), Long Range Planning (LRP) and annual forecast budgets
• Ability to address escalations, quickly assess and develop root cause analysis and solutions for operational escalations.
• Engage / collaborate with the various teams within company to identify and scope the gaps, risks, requirements and outcome for business challenges.
• Support the sales team with new fiscal year readiness and planning activities by generating bookings reports and funnel reports

• 6-8 years' experience as Data Analyst preferably with Printing & Packaging or similar industry.
• BA / BS degree in related field (Business Analytics, Statistics, Economics, Business Administration, Finance or Accounting).
• Ability to present complex data in a clear, actionable format for non-technical users.
• Extremely organized and details oriented, with advanced expertise in MS mainly Excel, power point and Access applications, proficiency in SQL, Power BI / Tableau and ERP / CRM systems (SAP, Salesforce, etc.) are preferred.
• Experience in pricing analysis, margin optimization and production planning.
• Understanding of print production workflows and materials.
• Excellent English communication skills.
• Sound knowledge of sales cycle and demonstrated aptitude for analytics and customer services.
• Strong analytical capabilities and ability to manage reporting and databases
• Focus on results and respect of deadlines
• A dynamic, proactive, flexible and curious individual, fast learner and committed to teamwork
• Able and confident in dealing with a broad and complex range of SKUs
• Able to work effectively under pressure and to get things done with constantly changing priorities, projects and deadlines
• Able to perform complex analysis and synthesis into reports and executive summaries
• A critical thinker, able to identify issues, make recommendations for improvement, achieve consensus and support implementation

Job Title: Data Analyst Trainee

This is an outstanding opportunity for fresh graduates or aspiring data professionals to gain hands-on experience in data analysis, visualization, and reporting.

The trainee will work closely with our team of data analytics experts to derive actionable insights, optimize business processes, and support strategic decision-making with data-driven solutions.

We are seeking a highly motivated Data Analyst Trainee to join our organization remotely.

Key Responsibilities:

1. Assist in collecting, cleaning, and organizing large datasets from various sources.
2. Perform advanced data analysis and generate reports to identify trends and patterns.
3. Support in developing interactive dashboards and visualizations using tools like Excel, Power BI, or Tableau.
4. Work with structured and unstructured data to extract meaningful information and insights.
5. Collaborate with different teams to understand data needs and provide analytical support.
6. Learn and apply statistical techniques, predictive modeling, and data storytelling.
7. Document findings, methodologies, and best practices for future reference.

Required Skills and Qualifications:

1. Bachelor's degree (or currently pursuing) in Computer Science, Data Science, Statistics, Mathematics, or a related field.
2. Advanced understanding of SQL, Excel, and data visualization tools (Power BI / Tableau).
3. Knowledge of Python or R for data analysis is a plus.
4. Strong analytical thinking and problem-solving skills.
5. Attention to detail and ability to work with complex datasets.
6. Excellent communication and teamwork skills.
7. Eagerness to learn new tools and technologies in data analytics.

What We Offer:

1. Comprehensive training and mentorship in data analytics.
2. Opportunity to work on real-world projects and datasets.
3. A flexible remote work environment.
4. Career growth and potential for a full-time position based on performance.