286 Data Metrics jobs in the United Arab Emirates

Data Reporting and Analytics Consultant III Biostatistics

Posted 1 week ago

Full time

Dubai, AE

Senior

Salary Range: To be discussed

Summary

The Data Reporting and Analytics Consultant at KP-DOR manages and analyzes genomic and EHR data, requiring SAS/SQL skills and experience with large datasets, focusing on epidemiology research.

Description

The Data Reporting and Analytics Consultant will work in the Research Program on Genes, Environment and Health (RPGEH) at the Kaiser Permanente Division of Research (KP-DOR).

RPGEH scientists at KP-DOR conduct NIH-funded epidemiological research in conjunction with the Kaiser Permanente Research Bank (KPRB), a biobank with 400,000 KP adult participants with linked genomic, EHR, and survey data.

RPGEH also facilitates access to the KPRB by scientists outside KP through the provision of preliminary data and de-identified data to access-approved researchers.

RPGEH scientists focus on a broad range of research topics, including pharmacogenetics, genetic and nongenetic factors affecting psychiatric and neurological disorders, vision disorders, cancers and cancer risk factors, cardiovascular disease and risk factors, and other conditions.

The incumbent will work with RPGEH and other investigators on analytical projects using EHR and genomic data and will be required to prepare preliminary data and de-identified analytical datasets for research projects.

Additional duties involve organizing, managing, and documenting the data resources of the program. Candidates are expected to have a working proficiency in SAS and SQL environments.

Prior experience working on Unix-like environments and HPC systems, as well as familiarity with shell scripts and R/Python environments will be beneficial.

Preference will be given to candidates with prior experience handling large scale datasets, particularly genomic data from whole genome SNP microarrays, exome, and whole genome sequence data.

Preference will also be given to candidates with background and training in biostatistics and epidemiology.

The role requires pursuing self-development and effective relationships with others by proactively providing resources, information, advice, and expertise with coworkers and customers; influencing others through technical explanations and examples; providing occasional mentoring to team members; listening and responding to, seeking, and addressing performance feedback; creating plans to capitalize on strengths and develop weaknesses; anticipating and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback.

The consultant will complete work assignments by applying up-to-date expertise in the subject area to generate creative solutions; ensuring all procedures and policies are followed; leveraging an understanding of data and resources to support projects or initiatives; collaborating cross-functionally to solve business problems; identifying and monitoring priorities, deadlines, and expectations; communicating progress and information; identifying, recommending, and implementing ways to address improvement opportunities; and escalating issues or risks as appropriate.

The consultant will support and develop analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; creating models leading to actionable insights; and testing, refining, and validating models.

The role will also involve gathering data and information on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across sources; completing routine data refresh and update; developing and/or delivering tools for electronic data collection; and providing user training, support, and documentation.

Additionally, the consultant will support data analysis interpretation by applying findings to contextual settings under the guidance of more senior employees; and developing reports and presentations telling a compelling story to stakeholders to enable and influence decision making.

Finally, the consultant will develop, implement, and automate business and reporting solutions by working with stakeholders in their design, planning, and implementation while ensuring consistency and coherency; summarizing data and results; and creating summary statistics.

Data Reporting and Analytics Consultant III Biostatistics

Posted 1 week ago

Full time

Dubai, AE

Senior

Salary Range: To be discussed

Summary

The Data Reporting and Analytics Consultant at KP-DOR manages and analyzes genomic and EHR data, requiring SAS/SQL skills and experience with large datasets, focusing on epidemiology research.

Description

The Data Reporting and Analytics Consultant will work in the Research Program on Genes, Environment and Health (RPGEH) at the Kaiser Permanente Division of Research (KP-DOR).

RPGEH scientists at KP-DOR conduct NIH-funded epidemiological research in conjunction with the Kaiser Permanente Research Bank (KPRB), a biobank with 400,000 KP adult participants with linked genomic, EHR, and survey data.

RPGEH also facilitates access to the KPRB by scientists outside KP through the provision of preliminary data and de-identified data to access-approved researchers.

RPGEH scientists focus on a broad range of research topics, including pharmacogenetics, genetic and nongenetic factors affecting psychiatric and neurological disorders, vision disorders, cancers and cancer risk factors, cardiovascular disease and risk factors, and other conditions.

The incumbent will work with RPGEH and other investigators on analytical projects using EHR and genomic data and will be required to prepare preliminary data and de-identified analytical datasets for research projects.

Additional duties involve organizing, managing, and documenting the data resources of the program. Candidates are expected to have a working proficiency in SAS and SQL environments.

Prior experience working on Unix-like environments and HPC systems, as well as familiarity with shell scripts and R/Python environments will be beneficial.

Preference will be given to candidates with prior experience handling large scale datasets, particularly genomic data from whole genome SNP microarrays, exome, and whole genome sequence data.

Preference will also be given to candidates with background and training in biostatistics and epidemiology.

The role requires pursuing self-development and effective relationships with others by proactively providing resources, information, advice, and expertise with coworkers and customers; influencing others through technical explanations and examples; providing occasional mentoring to team members; listening and responding to, seeking, and addressing performance feedback; creating plans to capitalize on strengths and develop weaknesses; anticipating and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback.

The consultant will complete work assignments by applying up-to-date expertise in the subject area to generate creative solutions; ensuring all procedures and policies are followed; leveraging an understanding of data and resources to support projects or initiatives; collaborating cross-functionally to solve business problems; identifying and monitoring priorities, deadlines, and expectations; communicating progress and information; identifying, recommending, and implementing ways to address improvement opportunities; and escalating issues or risks as appropriate.

The consultant will support and develop analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; creating models leading to actionable insights; and testing, refining, and validating models.

The role will also involve gathering data and information on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across sources; completing routine data refresh and update; developing and/or delivering tools for electronic data collection; and providing user training, support, and documentation.

Additionally, the consultant will support data analysis interpretation by applying findings to contextual settings under the guidance of more senior employees; and developing reports and presentations telling a compelling story to stakeholders to enable and influence decision making.

Finally, the consultant will develop, implement, and automate business and reporting solutions by working with stakeholders in their design, planning, and implementation while ensuring consistency and coherency; summarizing data and results; and creating summary statistics.

Join to apply for the Business Intelligence / Data Analyst | Emirati Talent role at Majid Al Futtaim.

Job Title: Business Intelligence / Data Analyst | Emirati Talent | MAF Future Solutions | Customer Marketing & Brand/Customer Marketing Management/Senior Professional

Role Summary: The Business Intelligence / Data Analyst is responsible for planning, coordinating, and executing activities related to building and managing organizational reports and analytics. This includes developing and maintaining dashboards, reports, data cubes, and the data warehouse. The role requires strong communication, problem-solving, and analytical skills to address reporting and data-related needs, experience with enterprise data tools, and the ability to work proactively with stakeholders.

Role Profile:

• Proven experience in data analysis and mining using SQL and DAX
• Proficient in Power BI for data visualization and dashboard development
• Hands-on experience with SSIS and managing data integration workflows
• Ability to translate business needs into technical solutions with strong analytical thinking
• Knowledge of data warehousing, reporting infrastructure, and data governance best practices
• Exposure to big data tools (e.g., Kafka, S3, Python) and experience analyzing consumer datasets (e.g., segmentation, CLV, loyalty) is a plus

Requirements:

• Bachelor's degree in Computer Science, Business, or a related field
• 3-4 years of experience in analytics, BI, or similar roles
• Familiarity with product analytics, including GA datasets and app funnel reporting
• Ability to derive and present actionable insights through effective visualizations
• Strong understanding of BI concepts, with the ability to communicate them to varied audiences
• Experience in data modeling, metadata structures, and working with BI/ERP systems is preferred

What We Offer:

• At Majid Al Futtaim, we're on a mission to create great moments, spread happiness, and build memorable experiences. Join us
• Work in a friendly environment with positive vibes and a shared future vision.
• Collaborate with over 45,000 diverse and talented colleagues, guided by our Leadership Model.

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: Retail

Referrals increase your chances of interviewing at Majid Al Futtaim by 2x.

Job Title: Faculty Position in Business Intelligence and Data Analytics

We are seeking highly qualified professionals to join our faculty team at the College of Business Administration. The successful candidates will be responsible for teaching and mentoring students in the field of Business Intelligence and Data Analytics.

1. Present research-driven teaching, adapt to latest pedagogical techniques, and develop appropriate assessments.
2. Effectively manage instructional processes.
3. Evaluate student performance, grade assignments, provide clear assessment criteria, and set expectations.
4. Contribute to regular curriculum reviewing and improving existing curricula for quality and effectiveness.
5. Aquire latest academic techniques, discipline, professional certification, technology-related development, and leadership development through attending workshops, seminars, and training.

• Ph.D. in Business Intelligence / Data Analytics from an accredited university in the United States or a recognized University accredited by an American Accreditation body.
• A minimum of 18 credit hours of graduate studies in the required field.
• A minimum of three articles indexed in Scopus-listed journals or five articles in peer-reviewed journals in the past five years.

• A minimum of 2 years of teaching/working experience in an internationally accredited university.
• A proven record of excellence at baccalaureate and graduate program levels.

• Curricular development and review.
• Record of professional accomplishment including peer-reviewed publications.
• Continued research program and interest in collaboration with another faculty member.
• Ability to integrate web-based and/or digital technology in the classroom.
• Willingness to provide service to the University and the College.

We are a hub of innovation and growth, where your expertise and aspirations find a welcoming environment. We believe that nothing is impossible on the pathway to success.

We comprise seven dynamic colleges, each boasting unique strengths and prestigious accreditations. Our degrees are accredited by SACSCOC and CAA, Ministry of Education, United Arab Emirates.

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.

Drive Business Growth with Data-Driven Solutions

• Analyze market and share trends to build warehouse data.
• Translate business needs into technical specifications.
• Develop reporting systems that provide accessible information for decision-making.
• Maintain data analytics platforms.
• Evaluate and improve existing BI systems.
• Conduct troubleshooting on BI models.

As a Power BI Developer, you will have the opportunity to work on a variety of projects, utilizing your skills in data analysis, business intelligence, and software development.

• Ability to analyze complex data sets and identify trends.
• Strong understanding of business intelligence principles and data visualization techniques.
• Experience with Power BI and related tools.
• Excellent communication and problem-solving skills.

Job Type: Contract. Contract length: 12 months.

Job Title: Data Analyst

The ideal candidate will be responsible for gathering, analyzing, interpreting and reporting data from various sources. Key responsibilities include creating visualizations from raw data, developing reports and presenting findings to stakeholders.

Additional duties involve ensuring data accuracy and quality through validation processes and identifying trends in data.

Strong problem-solving skills, excellent communication skills, a passion for analysis and the ability to work independently are essential requirements for this role.

Familiarity with SQL programming and experience working with large datasets is required.

What You Will Gain:

• Opportunity to work in a dynamic environment
• Contribute to the organization's success

The role of Business Intelligence Analyst is crucial in today's fast-paced business environment. We are seeking a highly skilled and detail-oriented individual to join our team.

Job Summary:

We are looking for a talented Business Intelligence Analyst to analyze data sets and provide actionable insights to inform business decisions.

Key Responsibilities:

• Analyze large datasets from multiple sources to identify trends and patterns
• Develop algorithms to extract meaningful insights from data
• Monitor data trends over time to inform business strategy
• Collaborate with other departments to ensure accuracy and consistency of data
• Communicate complex data insights to non-technical stakeholders

Requirements:

• Bachelor's degree in Mathematics, Statistics, Computer Science or related field
• Proficiency in statistical analysis software (R, Python, Tableau)
• Strong problem-solving and communication skills

Benefits:

• Competitive salary and benefits package
• Ongoing professional development opportunities
• A relaxed work environment that encourages creativity and collaboration

About the Role:

This is an exciting opportunity for a skilled Business Intelligence Analyst to join our team and make a real impact on our business.

Business Intelligence Specialist

We are seeking a skilled Business Intelligence Specialist to join our team in Dubai.

The ideal candidate will have experience with data analysis and be proficient in Excel. The successful candidate must have the following skills and qualifications:

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• Degree in Computer Science, Mathematics, Statistics or related field
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• At least 2 years of experience in data analysis
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• Excellent knowledge of Excel and other relevant software
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• Ability to analyze large amounts of data
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• Ability to interpret complex data sets
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• Strong attention to detail
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• Excellent problem-solving skills
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Working with us offers great benefits:

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• Flexible working hours
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• Opportunity to work remotely when needed
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• Career growth opportunities
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Our company is an international IT consultancy based in Dubai that provides innovative solutions for business needs. We work with some of the biggest organizations across multiple industries, helping them achieve their objectives through technology solutions. The successful candidate will have the opportunity to work on exciting projects while developing their skills and gaining valuable experience.