27 Power Bi jobs in Dubai

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 Senior BI Developer role at Dicetek LLC

Join to apply for the Senior BI Developer role at Dicetek LLC

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Job Summary

We are looking for a talented and experienced Senior BI Developer to join our team. The ideal candidate will have at least 7 years of experience in Qlik Sense development and strong proficiency in Power BI. This role involves designing, developing, and maintaining business intelligence solutions to support data-driven decision-making processes.

Job Summary

We are looking for a talented and experienced Senior BI Developer to join our team. The ideal candidate will have at least 7 years of experience in Qlik Sense development and strong proficiency in Power BI. This role involves designing, developing, and maintaining business intelligence solutions to support data-driven decision-making processes.

Key Responsibilities

• Design, develop, and implement advanced Qlik Sense applications and dashboards to meet business requirements.
• Collaborate with stakeholders to understand their data needs and translate them into effective BI solutions.
• Optimize and maintain Qlik Sense applications for performance, usability, and scalability.
• Develop and maintain Power BI reports and dashboards to complement Qlik Sense solutions.
• Perform data extraction, transformation, and loading (ETL) to ensure accurate and timely data availability.
• Conduct data analysis and provide insights to support business strategies and operations.
• Stay updated with the latest features and best practices in Qlik Sense and Power BI.
• Provide training and support to end-users to maximize the value of BI solutions.
• Collaborate with IT and data teams to ensure seamless data integration and quality.
  
  

• Qlik Sense: 5+ years of experience in developing and managing Qlik Sense applications and dashboards.
• Power BI: Strong proficiency in developing and managing Power BI reports and dashboards.
• ETL Processes: Experience in designing and implementing ETL processes.
• Data Analysis: Strong analytical skills with the ability to interpret complex data sets.
• SQL: Proficiency in writing and optimizing SQL queries.
• Communication: Excellent communication and collaboration skills to work with cross-functional teams.
• Problem-solving: Strong problem-solving skills with attention to detail.
  
  

• Bachelor's degree in computer science, Information Systems, Data Analytics, or a related field.
• Proven experience in business intelligence and data visualization.
• Ability to work independently and manage multiple projects simultaneously.
• Familiarity with data governance and best practices in BI.
  
  

• Experience with other BI tools (e.g., Tableau, Looker).
• Knowledge of scripting languages (e.g., Python, R).
• Experience with cloud-based BI solutions.
• Understanding of data warehousing concepts.

• Seniority level Not Applicable

• Employment type Contract

• Job function Information Technology
• Industries IT Services and IT Consulting

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Nair Systems is currently seeking a Senior BI Developer for our UAE operations. The ideal candidate should possess the following skills and experience:

1. Advanced SQL
2. ETL pipeline development
3. Power BI or equivalent tools
4. Data warehousing concepts and report performance tuning

Experience Required: Years of experience not specified

Joining timeframe: Maximum 2 weeks to 1 month

If you are interested in this opportunity, please send your latest resume.

Position: BI Developer

Location: Dubai, United Arab Emirates

We are seeking an experienced Reporting Analyst to join our dynamic team. As a key player in the reporting function, you will play a vital role in shaping business decisions by providing insightful and data-driven reports.

The ideal candidate will have a strong analytical background with the ability to quickly understand and interpret complex business requirements. Proficiency in querying data from SQL Server databases and experience in developing interactive dashboards and reports with Power BI is essential.

In this role, you will be responsible for driving significant impact through critical business reports and dashboards. You will also conduct ad-hoc analysis using Excel and other bespoke tools as needed. Collaboration with stakeholders across various departments will be crucial to deliver tailored solutions that meet their reporting needs.

Apart from your technical skills, you should possess excellent communication and interpersonal skills to effectively work with cross-functional teams. If you are passionate about working with data and want to contribute to the future of predictive analytics, then this is the perfect opportunity for you.

Job Title: Business Operations Specialist

• Manage User Acceptance Testing (UAT) for projects to ensure efficient and timely completion in collaboration with cross-functional teams.
• Provide accurate and timely data/information for monthly, quarterly, and yearly reporting for the Financial & Management Reporting team.
• Respond to queries from the finance community related to Finance Information Systems.
• Design and develop automated reports and dashboards for various Finance Teams in collaboration with stakeholders.
• Update senior management on project progress, deliverables, service tickets, defects, and issue resolution.

Meticulously track projects, URFs, and other deliverables until closure, providing periodic status updates proactively.

• Work as a Techno-Functional team member representing Finance during implementation of projects, URFs/CRs, and enhancements of Finance information systems.
• Collaborate with Finance Information & Projects team and other departments during projects & URFs to ensure data accuracy and automation of reporting.
• Participate in UAT for Finance information systems to ensure data and reporting accuracy.
• Design & develop procedures, queries, and templates for UAT execution and completion.
• Coordinate system changes for seamless enhancements in reporting streams & applications.
• Highlight potential issues in projects, BAU, and MIS generation to management for resolution.
• Handle queries and periodic/ADHOC reporting requirements from Finance teams.
• Initiate, track, and resolve service tickets related to core banking and other applications affecting reporting.

• Seniority level: Not Applicable
• Employment type: Contract
• Job function: Research, Analyst, and Information Technology
• Industries: IT Services and IT Consulting

Referrals can increase your chances of interviewing at this company by 2x. Get notified about new Business Operations Specialist jobs in your area.

Business Analyst – Riyadh Based

We are seeking a highly skilled Business Analyst to join our team in Riyadh, Saudi Arabia.

• A strong understanding of market risk measurement and management is essential for this role.
• The ideal candidate will have a thorough knowledge of quantitative skills and the ability to support clients across the region. They will be responsible for managing client relationships and developing expertise in data analysis.
• Key responsibilities include:
1. Develop strategic plans to ensure client retention and satisfaction
2. Stay up-to-date with the latest market trends and regulatory landscape
3. Identify opportunities to increase client usage of data analysis tools
4. Work closely with the sales team on cross-product selling opportunities
5. Engage with clients to inform them of product roadmaps and solicit feedback regarding future development
6. Collaborate with internal teams to ensure client requests are managed appropriately
7. Respond to detailed client enquiries and hold advanced training workshops

This is an exciting opportunity to work with a leading provider of critical decision support tools and services for the global investment community. We offer a range of benefits, including flexible working arrangements, advanced technology, and collaborative workspaces.

As a Business Analyst at MSCI, you'll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers who are passionate about making a difference through their work.

Effective Business Decisions Using Data Analysis

ID 257

Course: Effective Business Decisions Using Data Analysis

This interactive, applications-driven 5-day course will highlight the added value that data analytics can offer a professional as a decision support tool in management decision making. It will show the use of data analytics to support strategic initiatives; to inform on policy information; and to direct operational decision making. The course will emphasize applications of data analytics in management practice; focus on the valid interpretation of data analytics findings; and create a clearer understanding of how to integrate quantitative reasoning into management decision making. Exposure to the discipline of data analytics will ultimately promote greater confidence in the use of evidence-based information to support management decision making.

• Discussions on applications of data analytics in management
• The importance of data in data analytics
• Applying data analytical methods through worked examples
• Focusing on management interpretation of statistical evidence
• How to integrate statistical thinking into the work domain

• Explain the scope and structure of data analytics.
• Apply a cross-section of useful data analytics.
• Interpret meaningfully and critically assess statistical evidence.
• Identify relevant applications of data analytics in practice.

• Professionals in management support roles
• Analysts who typically encounter data/analytical information regularly in their work environment
• Those who seek to derive greater decision-making value from data analytics

This course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension, and retention of the information presented. The daily workshops will be highly interactive and participative. This involves regular discussion of applications as well as hands-on exposure to data analytics techniques using Microsoft Excel. Delegates are strongly encouraged to bring and analyse data from their own work domain. This adds greater relevancy to the content. Emphasis is also placed on the valid interpretation of statistical evidence in a management context.

• Day One: Setting the Statistical Scene in Management
  • Introduction; The quantitative landscape in management
  • Thinking statistically about applications in management (identifying KPIs)
  • The integrative elements of data analytics
  • Data: The raw material of data analytics (types, quality, and data preparation)
  • Exploratory data analysis using Excel (pivot tables)
  • Using summary tables and visual displays to profile sample data
• Day Two: Evidence-based Observational Decision Making
  • Numeric descriptors to profile numeric sample data
  • Central and non-central location measures
  • Quantifying dispersion in sample data
  • Examine the distribution of numeric measures (skewness and bimodal)
  • Exploring relationships between numeric descriptors
  • Breakdown analysis of numeric measures
• Day Three: Statistical Decision Making – Drawing Inferences from Sample Data
  • The foundations of statistical inference
  • Quantifying uncertainty in data – the normal probability distribution
  • The importance of sampling in inferential analysis
  • Sampling methods (random-based sampling techniques)
  • Understanding the sampling distribution concept
  • Confidence interval estimation
• Day Four: Statistical Decision Making – Drawing Inferences from Hypotheses Testing
  • The rationale of hypotheses testing
  • The hypothesis testing process and types of errors
  • Single population tests (tests for a single mean)
  • Two independent population tests of means
  • Matched pairs test scenarios
  • Comparing means across multiple populations
• Day Five: Predictive Decision Making - Statistical Modeling and Data Mining
  • Exploiting statistical relationships to build prediction-based models
  • Model building using regression analysis
  • Model building process – the rationale and evaluation of regression models
  • Data mining overview – its evolution
  • Descriptive data mining – applications in management
  • Predictive (goal-directed) data mining – management applications

About the opportunity

The Growth Data Science Director will lead and accelerate growth strategies across marketing optimization, product initiatives (e.g., churn reduction), ecosystem plays, and ads revenue for talabat and Quick commerce. This role requires collaboration with product teams, senior marketing, and partner leadership to drive data-driven decisions and business growth.

What’s On Your Plate?

• Data Science: Define and execute data strategies aligned with company goals, leading cross-functional teams to develop innovative data-driven products and insights that impact business outcomes.
• Strategic Leadership and Business Acumen: Demonstrate strategic leadership, articulate vision, and incorporate emerging trends and technologies to add value.
• Collaboration and Influence: Work with stakeholders including executives, product managers, engineers, and external partners; represent the organization at industry events.
• Resource Management: Manage teams, budgets, and resources; prioritize projects; coach and mentor managers.
• Strategic Hiring and Talent Development: Recruit, develop career paths, and provide feedback to team members.
• Organizational Change Management: Lead change initiatives, communicate effectively, and manage resistance.

What you need to be successful

• 8-10+ years in data science, with leadership experience in managing teams or consulting.
• Ph.D. or Master’s in relevant fields such as computer science, statistics, or data science.
• Proven leadership in fostering high-performance teams and applying data science skills to create impactful products and insights.
• Deep knowledge of statistics, causality, experimentation, and modeling.
• Business acumen with experience in quantifying impact through data initiatives.
• Strategic thinking and ability to develop data-driven roadmaps aligned with organizational goals.

Who we are

Since 2004, talabat has been Kuwait’s leading on-demand food and Q-commerce app, serving eight countries. We leverage technology to simplify life, optimize operations, and provide earning opportunities. We foster a high-performance culture, value authenticity, and are proud of our awards and diverse team of over 6,000 Talabaty committed to making a difference.