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director data scientist - analysis

data reporting analyst

DICETEK LLC

<div><h2 class="jobSectionHeader">Job Title: Data Analyst &ndash; Emirati Fresh Graduate</h2><h3 class="jobSectionHeader">
Job Summary:</h3>
We are seeking motivated Emirati fresh graduates to join our team as Data Analysts. This role provides an excellent opportunity to develop analytical and reporting skills while working with data to support business decision-making. The selected candidates will gain hands-on experience in data analysis, visualization, and business intelligence tools.<h3 class="jobSectionHeader"> 
Key Responsibilities:</h3><ul><li>
Collect, clean, and analyze data from multiple sources.</li><li>
Prepare reports, dashboards, and visualizations to support business decisions.</li><li>
Work with cross-functional teams to understand data requirements.</li><li>
Identify trends, patterns, and insights to provide actionable recommendations.</li><li>
Support in maintaining data accuracy, quality, and integrity.</li><li>
Document processes, methodologies, and findings for future reference.</li><li>
Participate in training and continuous learning initiatives in data analytics.</li></ul><h3 class="jobSectionHeader">
Qualifications &amp; Skills:</h3><ul><li>
Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, Business Analytics, or related field.</li><li>
Basic knowledge of data analysis and statistical concepts.</li><li>
Familiarity with Excel, SQL, and data visualization tools (Power BI, Tableau, or similar).</li><li>
Strong numerical, analytical, and problem-solving skills.</li><li>
Good communication and presentation abilities.</li><li>
Ability to work in a team and manage multiple tasks effectively.</li><li>
Eagerness to learn new data tools and technologies.</li></ul><h3 class="jobSectionHeader">
What We Offer:</h3><ul><li>
Training and mentorship from experienced data professionals.</li><li>
Hands-on exposure to real-world data analysis projects.</li><li>
Career development opportunities in analytics and business intelligence.</li><li>
A collaborative and growth-oriented work environment.</li></ul></div>

Data Analyst – Emirati Fresh Graduate

Dubai Insurance TPA

Job Summary:We are seeking a detail-oriented and analytical Data Analyst with expertise in Qlik Sense to join our team. The ideal candidate will be responsible for transforming data into actionable insights, developing interactive dashboards, and supporting data-driven decision-making across the organization.Key Responsibilities:<ul><li>Design, develop, and maintain Qlik dashboards and reports to visualize complex datasets.</li><li>Collaborate with business stakeholders to gather requirements and translate them into analytical solutions.</li><li>Perform data extraction, transformation, and loading (ETL) from various sources into Qlik.</li><li>Ensure data accuracy, integrity, and consistency across all reporting platforms.</li><li>Conduct deep-dive analysis to identify trends, patterns, and opportunities for improvement.</li><li>Provide training and support to end-users on Qlik tools and data interpretation.</li><li>Continuously improve reporting processes and explore new features within Qlik to enhance analytics capabilities.</li></ul>Required Qualifications:<ul><li>Bachelor&rsquo;s degree in Data Science, Computer Science, Information Systems, or a related field.</li><li>3+ years of experience in data analysis, with a strong focus on Qlik Sense.</li><li>Proficiency in SQL and data modeling.</li><li>Experience with data integration tools and techniques.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and stakeholder management abilities.</li></ul>Preferred Experience:<ul><li>Experience with other BI tools (e.g., Power BI, Tableau) is a plus.</li><li>Familiarity with cloud platforms (e.g., OCI, Azure) and data warehousing.</li><li>Knowledge of scripting languages (e.g., Python, R) for advanced analytics.</li><li>Knowledge of the medical insurance domain is a plus.</li></ul>What We Offer:<ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional growth and development.</li><li>A collaborative and innovative work environment.</li></ul>Job Type: Full-timePay: AED15,000.00 - AED20,000.00 per month

Data Analyst – Qlik Specialist

Amazon

<div>
 
 Description
 
 
 
 Amazon is a highly data driven company highly obsessive about metrics. The Data analysts play a crucial role in creating unique reports from data available in multiple locations and providing vital insights into the root cause of quality defects and inventory adjustments. ICQA Data Analyst will work closely with the ICQA, Learning and Finance departments to provide data and analytical support for the business.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Development of data collection processes and data management systems
 </li>
 <li>
 Designing of queries, compiling of data, and generation of reports in SQL
 </li>
 <li>
 Charting and graphing of data for reporting purposes
 </li>
 <li>
 Developing dashboard (Amazon Quicksight) to support business decision making and dive deep activities
 </li>
 <li>
 Develop automation solution for analysis (python)
 </li>
 <li>
 Prepare and publish reports for business reviews (Weekly Business Review, Quarterly Business Review, Project Updates)
 </li>
 <li>
 Supporting leadership team how to interpret data trends as needed
 </li>
 <li>
 In depth research of defect trends
 </li>
 <li>
 Data collection and entry as needed
 </li>
 <li>
 Present analysis in easily digestible standard reports
 </li>
 <li>
 Support to ICQA &amp; Learning Team Projects
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 UAE National with a family book
 </li>
 <li>
 3+ years experience in data warehousing with demonstrated expertise in ETL processes and data modeling
 </li>
 <li>
 Strong command of SQL (including complex joins, stored procedures, and query optimization)
 </li>
 <li>
 Proven experience with at least one major BI platform (prefer QuickSight) including dashboard creation and maintenance
 </li>
 <li>
 Proficiency in Python, particularly with data analysis libraries (pandas, numpy, scikit-learn)
 </li>
 <li>
 Experience automating data collection and reporting processes
 </li>
 <li>
 Demonstrated ability to translate business requirements into technical solutions
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with cloud platforms (AWS)
 </li>
 <li>
 Proficiency in statistical analysis and A/B testing methodologies
 </li>
 <li>
 Experience with machine learning frameworks and predictive modeling
 </li>
 <li>
 Knowledge of data visualization best practices and storytelling with data
 </li>
 <li>
 Familiarity with agile methodologies and project management tools
 </li>
 <li>
 Certification in relevant technologies (AWS)
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Q-Express Documents Transport
 
 
 Job ID: A3007124
</div>

Data Analyst - UAE National Only, ICQA/LND Analytics Team

Capgemini

<div>
 
 
 Senior Data Quality Analyst &ndash; Capgemini
 
 
 
 
 
 
 
 
 
 
 About Capgemini
 
 
 
 Capgemini is a global leader in consulting, digital transformation, technology, and engineering services. With a presence in over 50 countries and a strong heritage of innovation, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Our collaborative approach and a people-centric work culture have made us a partner of choice for clients across industries.
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking a highly skilled Senior Data Quality Analyst with a robust background in designing, implementing, and maintaining data quality frameworks leveraging Python or Collibra. The ideal candidate will be adept at ensuring data accuracy, consistency, completeness, and reliability across large-scale cloud-based platforms, especially within Azure Databricks environments. This role requires expertise in automated data quality assurance, a deep understanding of data governance, and hands-on experience integrating quality controls into modern data pipelines.
 
 
 The Senior Data Quality Analyst will be embedded within an agile squad dedicated to a specific business mission while contributing to a broader program comprising 4 to 8 interconnected squads. Collaboration, technical leadership, and a continuous improvement mindset are essential as you work cross-functionally to elevate the organization&rsquo;s data quality standards.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 1. Development &amp; Integration
 
 
 <ul>
 <li>
 Design, develop, and implement automated data quality checks using Python scripts and libraries or Collibra Data Quality components.
 </li>
 <li>
 Integrate data quality validation logic within existing ETL/ELT pipelines operating on Azure Databricks, ensuring quality gates are consistently enforced across all data flows.
 </li>
 <li>
 Develop and maintain reusable Python modules that perform anomaly detection, schema validation, and rule-based data quality checks to enable rapid scaling of quality coverage.
 </li>
 <li>
 Collaborate with data engineering teams to embed continuous quality controls throughout the data ingestion, transformation, and consumption lifecycle.
 </li>
 <li>
 Support the deployment and management of Collibra-based data quality solutions to automate governance workflows and stewardship activities.
 </li>
 </ul>
 
 
 
 
 2
 
 . Data Quality Management
 
 
 <ul>
 <li>
 Define, measure, and rigorously enforce data quality metrics, thresholds, and Service Level Agreements (SLAs) tailored to business-critical datasets.
 </li>
 <li>
 Utilize Collibra to manage and operationalize data governance workflows, maintain business glossaries, and delineate stewardship responsibilities.
 </li>
 <li>
 Monitor the integrity of data pipelines for completeness, accuracy, timeliness, and consistency across distributed and cloud-native environments.
 </li>
 <li>
 Conduct detailed root cause analyses for complex data quality issues, collaborating with engineers and domain experts to drive permanent remediation and prevention strategies.
 </li>
 <li>
 Implement and continuously refine monitoring frameworks, utilizing dashboards and alerting systems (built using Python and Collibra integrations) for real-time visibility into key data quality indicators.
 </li>
 </ul>
 
 
 
 
 3.
 
 Support &amp; Operations
 
 
 <ul>
 <li>
 Act as a Level 2/3 escalation point for data quality incidents, troubleshooting issues and coordinating with other agile squads and technical teams for rapid resolution.
 </li>
 <li>
 Work closely with product owners, business analysts, and key stakeholders to understand evolving data requirements and ensure quality expectations are aligned and met.
 </li>
 <li>
 Maintain and optimize operational dashboards for ongoing data quality monitoring, leveraging both Python-based and Collibra-integrated solutions.
 </li>
 <li>
 Participate actively in agile ceremonies, including sprint planning, daily standups, reviews, and retrospectives, contributing to squad goals and continuous delivery improvements.
 </li>
 </ul>
 
 
 
 
 4.
 
 Governance &amp; Best Practices
 
 
 <ul>
 <li>
 Establish, document, and evangelize data quality standards, validation frameworks, and best practices across squads and the broader data organization.
 </li>
 <li>
 Maintain comprehensive documentation on validation rules, automated test cases, and quality assurance procedures, ensuring transparency and repeatability.
 </li>
 <li>
 Mentor, coach, and upskill junior data engineers and analysts in data quality concepts, tools, and processes to foster a quality-first culture.
 </li>
 <li>
 Ensure strict compliance with data governance, privacy, and security policies by leveraging Collibra&rsquo;s governance and stewardship frameworks.
 </li>
 <li>
 Continuously assess emerging technologies, tools, and methodologies for potential enhancement of the data quality ecosystem.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Management, Information Systems, or a closely related field.
 </li>
 <li>
 Years of progressive experience in data quality engineering, data management, or related data roles within complex technology environments.
 </li>
 <li>
 Demonstrable expertise in Python, including the development of reusable data quality and validation libraries.
 </li>
 <li>
 Extensive hands-on experience with Azure Databricks, including cloud-native data processing, ETL/ELT orchestration, and distributed computing concepts.
 </li>
 <li>
 Proficiency with Collibra Data Quality platform or equivalent data governance and stewardship tools.
 </li>
 <li>
 Strong track record working in agile environments, participating in cross-functional teams, and adapting to rapidly evolving project requirements.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills, with the ability to convey complex technical topics to both technical and non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Preferred Certifications (One or More)
 
 
 <ul>
 <li>
 Databricks Certified Data Engineer Associate or Professional
 </li>
 <li>
 Microsoft Certified: Azure Data Engineer Associate
 </li>
 <li>
 Python Institute Certifications (PCAP, PCPP)
 </li>
 <li>
 Collibra Ranger or Collibra Data Quality Steward Certifications
 </li>
 </ul>
 
 
 
 
 
 Key Skills &amp; Competencies
 
 
 <ul>
 <li>
 Deep understanding of data quality frameworks, methodologies, and industry best practices
 </li>
 <li>
 Hands-on experience building automated data quality tests using Python, PySpark, or similar open-source libraries
 </li>
 <li>
 Expertise in designing quality validation steps within ETL/ELT data pipelines for large volumes of structured and semi-structured data
 </li>
 <li>
 Familiarity with cloud data ecosystems, especially Azure and Databricks
 </li>
 <li>
 Proven ability to operationalize and scale data governance using Collibra or comparable tools
 </li>
 <li>
 Experience with dashboarding, data visualization, and monitoring tools for real-time data quality tracking
 </li>
 <li>
 Strong collaboration, leadership, and mentoring abilities within agile squads or matrix teams
 </li>
 <li>
 Knowledge of data privacy, security, and regulatory compliance requirements
 </li>
 <li>
 Ability to drive innovation and continuous improvement in data quality processes
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 <ul>
 <li>
 Opportunity to work on cutting-edge data platforms and technologies in a global, multicultural environment
 </li>
 <li>
 Collaborative and agile work culture with empowering career growth opportunities
 </li>
 <li>
 Competitive remuneration, benefits, and professional certification support
 </li>
 <li>
 Access to Capgemini&rsquo;s global learning platforms, mentorship programs, and technology communities
 </li>
 <li>
 Exposure to high-impact projects with Fortune 500 clients
 </li>
 </ul>
</div>

Data Quality Analyst

Binance

<div><div>Binance is a leading global blockchain ecosystem behind the world&rsquo;s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.</div>
<h3 class="jobSectionHeader">Responsibilities</h3><ul><li>
Working across all aspects of data from engineering to building sophisticated visualizations, machine learning models and experiments</li><li>
Producing institutional grade data insights reports on macro trends as well as sector trends, including but not limited to DeFi, NFT, Gaming, Metaverse, L1/L2 and Middleware etc, for both internal and external clients</li><li>
Analyze and interpret large volumes of on-chain transactional and operational data (both EVM and non-EVM) using proprietary and open source data tools, platforms and analytical tool kits</li><li>
Processing confidential data and information according to guidelines</li><li>
Managing and designing the reporting environment, including data sources, security, and metadata</li><li>
Troubleshooting the reporting database environment and reports</li></ul><h3 class="jobSectionHeader">
Requirements</h3><ul><li>
Have a strong passion for Web3 data and have knowledge of different crypto sectors and familiar with the top players' mechanism of each sector</li><li>
Strong critical thinking and analytical skills</li><li>
3+ year experience; Bachelor&rsquo;s degree from an accredited university or college in Computer Science or Math or Statistics</li><li>
Proficient in data engineering, modeling and ETL - preferred experience with data sourcing and working with APIs</li><li>
Experience with data querying using languages such as SQL, GraphQL and Python</li><li>
Experience in using tools such as Dune analytics, Flipside, Nansen, etc</li><li>
Understand project smart contracts and have good knowledge of the Web3 infrastructure landscape</li><li>
Understand addressing and metadata standards for multiple public chains</li></ul><div>
Why Binance</div><ul><li>Shape the future with the world&rsquo;s leading blockchain ecosystem</li><li>Collaborate with world-class talent in a user-centric global organization with a flat structure</li><li>Tackle unique, fast-paced projects with autonomy in an innovative environment</li><li>Thrive in a results-driven workplace with opportunities for career growth and continuous learning</li><li>Competitive salary and company benefits</li><li>Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)</li></ul><div></div><div> 
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.</div><div>
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.</div></div>

Research Data Analyst

Global Mission Support Services LLC

We Are Hiring: Healthcare Data Analyst Location: Nauru Medical Centre, Republic of NauruNauru Medical Centre is seeking a highly skilled and experienced Healthcare Data Analyst to join our healthcare team. The Healthcare Data Analyst will be responsible for creating, maintaining, and analyzing medical databases to support clinical, administrative, and operational needs. This role involves working closely with healthcare providers, IT teams, and hospital administration to ensure data integrity, compliance with healthcare regulations, and the effective use of data for decision-making, research, and patient care improvement. The analyst will also be expected to explore data, identify trends, and provide actionable insights to guide hospital strategy and improve healthcare outcomes.Key Responsibilities<ul><li>Design, develop, and maintain medical/clinical databases and data pipelines.</li><li>Collect, clean, and standardize healthcare data from multiple sources (government and hospital databases, lab results, patient records, billing, etc.).</li><li>Ensure data accuracy, consistency, and compliance with healthcare standards.</li><li>Collaborate with clinicians and administrators to define reporting, research, and analytics needs.</li><li>Explore healthcare data to identify trends, anomalies, and opportunities for improvement.</li><li>Generate dashboards, reports, and visualizations for clinical, operational, and strategic insights.</li><li>Support hospital research projects with data extraction, structuring, statistical analysis, and reporting.</li><li>Conduct data-driven investigations to answer key business and clinical questions.</li><li>Identify opportunities to improve data collection processes and workflows.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Health Informatics, Data Science, Statistics, Computer Science, or related field.</li><li>Experience with healthcare data management, EMR/EHR systems, or medical coding (ICD, CPT, SNOMED).</li><li>Proficiency in SQL and database management.</li><li>Strong skills in data analysis and statistical tools (Excel, Python, R, or similar).</li><li>Experience with BI tools (Power BI, Tableau, etc.) is a plus.</li><li>Knowledge of healthcare data standards and compliance requirements.</li><li>Strong problem-solving and research skills, with the ability to uncover insights from complex datasets.</li><li>Excellent communication skills to work effectively with both technical and non-technical stakeholders.</li></ul>What We Offer:<ul><li>Competitive tax-free salary</li><li>Free accommodation and meals</li><li>12-month contract with possibility of extension</li><li>30 days paid annual leave</li><li>Round-trip airfare</li><li>A unique professional and personal experience in an island healthcare system</li></ul>Apply Now! Submit your CV and supporting documents to talent@gmss.ltdJob Types: Full-time, Contract Contract length: 12 monthsApplication Question(s):<ul><li>Do you have prior Healthcare experience?</li><li>Are you open to be based in Nauru if hired by our company?</li></ul>

Healthcare Data Analyst - Nauru Deployment

ManpowerGroup Middle East

<div>
 
 
 Job Title: Finance Analyst &ndash; Reporting &amp; Reconciliation
 
 
 
 
 Location:
 
 Dubai
 
 
 
 Employment Type:
 
 Full-Time &ndash; Contractual 12mths
 
 
 
 Department:
 
 Finance
 
 
 
 
 
 
 About the Role
 
 
 
 We are looking for a skilled and analytical
 
 Finance Analyst
 
 with a minimum of
 
 4 years of experience
 
 to join our finance team. This role combines financial reporting, data analysis, and account reconciliation, supporting both routine and ad hoc finance operations. The ideal candidate will have a background in finance, reporting, or consulting, and be proficient in using modern productivity and AI tools.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Prepare and support
 
 periodic financial reports
 
 , including timesheets, expense tracking, and budget summaries.
 </li>
 <li>
 Conduct
 
 account reconciliations
 
 , particularly for low-ticket items such as University courses, ensuring accuracy and timely billing.
 </li>
 <li>
 Assist in
 
 ad hoc financial analysis and presentations
 
 for internal and external stakeholders.
 </li>
 <li>
 Collaborate with cross-functional teams to gather data, validate financial entries, and improve reporting processes.
 </li>
 <li>
 Identify discrepancies and propose corrective actions to maintain financial integrity.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Finance, Accounting, Business Administration, or a related field.
 </li>
 <li>
 
 Minimum 4 years of experience
 
 in finance, reporting, or consulting roles.
 </li>
 <li>
 Strong understanding of financial principles and reconciliation processes.
 </li>
 <li>
 Fluent in English, with excellent communication and presentation skills.
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Tools
 
 
 <ul>
 <li>
 Advanced proficiency in
 
 Microsoft Excel
 
 and
 
 PowerPoint
 
 .
 </li>
 <li>
 Familiarity with
 
 Generative AI tools
 
 such as
 
 ChatGPT
 
 and
 
 Perplexity
 
 for research and productivity.
 </li>
 <li>
 Strong analytical mindset with attention to detail.
 </li>
 <li>
 Ability to manage multiple priorities and meet deadlines in a dynamic environment.
 </li>
 </ul>
 
 
</div>

Finance Analyst – Reporting & Reconciliation

Explore 3033+ Data reporting analyst in Dubai this September. Find roles across top companies and apply now to boost your career.