application engineer

business analyst

data analyst

financial analyst

data scientist

database analyst

Confidential Careers

<div>
 
 The
 
 Data Analyst
 
 is responsible for analyzing large datasets, identifying trends and anomalies, and generating data-driven insights to support investigations, risk assessment, compliance, and business decision-making. The role focuses on data validation, reporting, dashboard development, and supporting fraud detection and operational improvement initiatives through advanced analytics techniques.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Analyze financial and operational data to identify trends, anomalies, and irregularities.
 </li>
 <li>
 Develop dashboards and reports using Excel, SQL, and Power BI to support data-driven decision-making.
 </li>
 <li>
 Perform data validation, cleansing, and quality checks to ensure accuracy and reliability of information.
 </li>
 <li>
 Conduct analytical reviews of transactions, system logs, and operational records.
 </li>
 <li>
 Support investigations and internal audit activities through data analysis and reporting.
 </li>
 <li>
 Monitor data patterns and provide insights related to operational risks and control gaps.
 </li>
 <li>
 Collaborate with Internal Audit, IT, Finance, HR, and Operations teams to gather and validate data.
 </li>
 <li>
 Prepare structured analytical reports and presentations for management review.
 </li>
 <li>
 Support automation and continuous monitoring initiatives to improve reporting efficiency.
 </li>
 <li>
 Ensure compliance with data confidentiality, governance, and information security requirements.
 </li>
 </ul>
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Information Technology, Computer Science, Accounting, Business Analytics, or related field.
 </li>
 <li>
 3&ndash;5 years of experience in data analysis, business intelligence, reporting, or analytics-related roles.
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 <ul>
 <li>
 Strong proficiency in Excel, SQL, and Power BI.
 </li>
 <li>
 Knowledge of data visualization, reporting tools, and data analytics techniques.
 </li>
 <li>
 Strong analytical, problem-solving, and critical-thinking skills.
 </li>
 <li>
 Ability to interpret complex datasets and provide actionable insights.
 </li>
 <li>
 Experience in internal audit, risk, or fraud analytics is an advantage.
 </li>
 <li>
 Strong communication and reporting skills.
 </li>
 </ul>
 
 
</div>

Data Analyst

DICETEK LLC

<div>Required qualifications &amp; experience<ul><li>A minimum of a bachelor's degree in economics, statistics, or STEM fields
</li></ul>Experience in strategy consulting, public sector consulting, or similar<ul><li>Proven track record of conducting strategic analysis, developing insights, and supporting decision-making in complex environments</li><li>Ability to think critically and strategically, with a focus on long-term outcomes and systemic solutions</li><li>Excellent written and verbal communication skills, with the ability to present complex ideas clearly and persuasively to diverse audiences</li><li>Strong storytelling and presentation skills, including the use of visual aids to convey insights</li><li>Strong problem-solving and critical-thinking abilities</li><li>Ability to work independently and collaboratively in a fast-paced, dynamic environment</li><li>High level of professionalism, integrity, and accountability Technical skills:</li><li>Strong quantitative and qualitative analytical skills, with the ability to
</li></ul>interpret data and translate it into actionable recommendations<ul><li>Understanding of public sector operations, policy development, and regulatory frameworks and challenges</li></ul> 
Responsibilities<ul><li>Conduct research and analysis on industry trends, policy developments, and competitive landscapes to inform strategic decision-making</li><li>Assess the effectiveness of existing programs, policies, and initiatives, identifying areas for improvement and recommending actionable solutions</li><li>Analyze quantitative and qualitative data to identify trends, opportunities, and risks, and present findings to senior leadership</li><li>Collaborate with internal and external stakeholders, including government agencies, policymakers, and community organizations, to gather input and align strategies</li><li>Support the development of long-term strategic plans, including goal-setting, resource allocation, and performance metrics</li><li>Evaluate the impact of existing and proposed policies, providing recommendations to enhance outcomes and ensure alignment with organizational objectives</li><li>Prepare clear, concise, and compelling reports, presentations, and briefing materials for senior leadership and key stakeholders</li><li>Support strategic projects, ensuring timely delivery and alignment with organizational priorities.</li></ul></div>

Data Analyst (UAE Nationals)

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose 
</h5> Emirates Skywards seeks to be an inspiring and engaging global loyalty programme for Emirates and FlyDubai. There are a number of key roles within our Skywards Group that are essential to the success of this this programme. From product design, e-commerce and analytics, through to business development, strategic partnerships and member engagement our Skywards team is filled with exciting opportunities! 
The Skywards Data Analyst will be responsible for reporting analysis and distribution of data to Emirates Loyalty to drive a data first approach. Make improvements to the data lifecycle, from the way data is extracted and prepared to the way analysis and segmentation is performed and presented through to data distribution and utilizated within the department. They will engage with relevant enterprise analytics, marketing &amp; internal teams to develop data products. 
 
 
 
In this role, you will:
<ul><li>Work with teams across Loyalty to understand and develop measurement KPIs and set up tracking and measurement. Document measurement frameworks, KPI development and reporting inputs for reference by all teams within Loyalty as needed.
</li><li>Build automated dashboards, reports and scorecards for self-service use across the department. Train and support teams in understanding and utilizing the reports to make data-backed decisions.
</li><li>Develops and applies analytical algorithms and methods where possible with a view of driving and enhancing data systems and streamlining business processes. Continuously improve the business data science models, creating industry-leading performance through the leveraging of new and creative data-sources, and employing the latest in machine learning within the department.
</li><li>Responsible for analysing overall performance of data-driven initiatives across the department, service ad-hoc insight requests, and develop visual insight dashboards and reports for consumption by the rest of the department.
</li><li>Engage with the Enterprise Analytics and Warehousing departments in the creation of high quality analyses for all functions of the business and in the definition of metrics that track the business performance at different fronts including Enterprise Data Warehouse, Enterprise Data Hub &amp; CRIS Warehouse.
</li><li>Drive a 'Customer first, data centric' decision making culture within Skywards by helping the business quantify and measure the costs.
</li><li>Validate, interpret, and create reports, dashboard &amp; presentations for departmental heads/management, and relevant stakeholders.
</li><li>Champion the use of Test and learn methodologies to allows a business to try out new ideas and concepts in order to understand the impact it has on factors such as customer experience, employee productivity and revenue.
</li><li>Collaborate with numerous departments across Emirates, aiding them in the proper use of Skywards data, hence, ensuring the delivery of desired operational results.
</li></ul><h5 class="jobSectionHeader">Qualification
</h5>To be considered for the role, you must meet the following requiremtents:
<ul><li>Experience in the execution of data analytics initiatives, leading to the development of useful insights and the improvement of a business performance and driving top-line growth
</li><li>Working experience in Loyalty or Commercial
</li><li>Experience in Technical expertise regarding data models, big data, customer/loyalty analysis, CRM database analysis, data mining and segmentation techniques
</li><li>Working experience in data science models
</li><li>Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
</li><li>Ability to transform data to insights.
</li><li>Ability to organize well, work under pressure and juggle multiple requests.
</li>Knowledge of advanced technologies such as Snowflake, Data IKU, Helix, Python, R, SQL etc. 
<li>
</li> </ul>At Emirates, we&rsquo;re committed to helping our people grow and thrive. If you're ready for a rewarding and challenging career, apply today and become part of our world-class team. 
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5><ul><li>- 
</li></ul> <div>Join us in Dubai and enjoy attractive salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. You can find out more information about our employee benefits in the Working Here section of our website 
<div>emiratesgroupc 
</div> areers.com
 . Further information on what it's like to live and work in our cosmopolitan home city, can be found in the Dubai Lifestyle section.</div></div>

Skywards Data Analyst

Arohana Tech Solutions Private Limited

<div>
 
 Job Summary
 
 
 
 We are hiring a
 
 Qlik Replicate Developer
 
 with 4&ndash;5 years of experience in implementing and supporting
 
 real-time data replication solutions
 
 . The candidate should have expertise in
 
 Qlik Replicate
 
 , database connectivity, and replication monitoring to ensure seamless enterprise data movement.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and maintain Qlik Replicate data pipelines.
 </li>
 <li>
 Implement real-time data replication and CDC solutions.
 </li>
 <li>
 Configure source-to-target database replication processes.
 </li>
 <li>
 Monitor and troubleshoot replication jobs for reliability and performance.
 </li>
 <li>
 Collaborate with technical teams to support integration requirements.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 4&ndash;5 years of experience in Qlik Replicate / Attunity.
 </li>
 <li>
 Experience in data replication and CDC implementation.
 </li>
 <li>
 Strong knowledge of SQL and relational databases.
 </li>
 <li>
 Understanding of data integration and ETL concepts.
 </li>
 <li>
 Strong debugging and problem-solving skills.
 
 
 </li>
 </ul>
 Top 5 Must-Have Skills
 
 
 <ul>
 <li>
 Qlik Replicate (Attunity)
 </li>
 <li>
 CDC (Change Data Capture)
 </li>
 <li>
 SQL &amp; Database Management
 </li>
 <li>
 Data Replication
 </li>
 <li>
 Troubleshooting &amp; Performance Monitoring
 
 
 </li>
 </ul>
 Skills: qlik replicate (attunity),cdc (change data capture),data replication,sql &amp; database management,troubleshooting &amp; performance monitoring
</div>

Developer

<div>Data Analyst / Business Intelligence Analyst
We are seeking a highly analytical and results-driven Data Analyst / Business Intelligence Analyst with strong expertise in data visualization, reporting, ETL processes, and data warehousing. The ideal candidate will have experience transforming complex datasets into actionable business insights using tools such as Tableau, Power BI, SQL, and cloud-based databases.
Key Responsibilities:<ul><li>
Gather and analyze reporting requirements from business stakeholders and management teams.</li><li>
Design, develop, and maintain interactive dashboards, reports, and BI solutions using Tableau and Power BI.</li><li>
Develop and optimize ETL pipelines, data warehouses, and data marts.</li><li>
Perform data extraction, transformation, validation, and analysis from multiple data sources.</li><li>
Conduct exploratory and descriptive data analysis to identify trends, customer behavior, revenue patterns, and business opportunities.</li><li>
Generate operational, financial, sales, and customer analytics reports for various business functions.</li><li>
Support ad-hoc reporting requests and provide actionable insights to leadership teams.</li><li>
Create and maintain data models including dimensions, facts, joins, and relationships.</li><li>
Collaborate with cross-functional teams including Sales, Finance, Marketing, HR, and Customer Success.</li><li>
Ensure data accuracy, integrity, and consistency through testing and validation processes.</li></ul>
Required Skills &amp; Expertise:<ul><li>
Strong experience with SQL, PostgreSQL, Oracle SQL Developer, and Amazon Redshift.</li><li>
Hands-on experience with Tableau, Power BI, and advanced Excel reporting.</li><li>
Knowledge of ETL tools and data warehousing concepts.</li><li>
Experience in dashboard development, KPI reporting, and business analytics.</li><li>
Understanding of data modeling, data marts, and BI architecture.</li><li>
Familiarity with AWS cloud environments and reporting ecosystems.</li><li>
Strong analytical, problem-solving, and communication skills.</li></ul>
Preferred Qualifications:<ul><li>
Bachelor&rsquo;s degree in Software Engineering, Computer Science, Data Science, or related field.</li><li>
Master&rsquo;s degree in Data Science is preferred.</li><li>
Tableau Desktop Specialist or similar BI certifications are an advantage.</li><li>
Experience with customer analytics, churn analysis, cohort analysis, and revenue reporting is preferred.</li></ul>
Experience Required:<ul><li>
4&ndash;6 years of experience in Data Analytics, Business Intelligence, or Reporting roles.</li></ul></div>

Data Analyst / Business Intelligence Analyst

confidentiial

One of the leading perfume and cosmetic manufacturing company based in Dubai immediately looking for a GCMS analyst. Below mentioning the details;JOB DESCRIPTIONGCMS Analyst:-&middot; 1.Determines quantitative and qualitative components of perfume oils, specialties and aromatic chemicals by interpreting GCMS results.&middot; 2. Assists fragrance QC by providing GC-MS analysis of problem batches, raw material quality issues, etc.&middot; 3. Assists in developing future analytical methods and protocols as needed.&middot; 4. Assists in developing new method for Qualitative and quantitative analysis.EDUCATIONB.S. or M.sc in Chemistry, Food science, B. pharma or in related areaREQUIREMENTS&middot; 1. 1-2 years minimum olfactive and organoleptic evaluations and GC, GC-MS analysis of Fragrances.&middot; 2. GC-MS operation and data interpretation proficiency.&middot; 3. Oral and written communication skills.&middot; 4. Proficiency in fragrance and flavor raw materials, olfactive and organoleptic evaluation.Interested candidates please apply for the post immediatelyJob Type: Full-timePay: AED3,500.00 - AED5,000.00 per monthWork Location: In person

GCMS Analyst

PaymentGenes

<div>DubaiPermanentAnalysisPosted 29/05/2026</div>
 <div>Senior Data Analyst joining the BI team to provide independent, end-to-end analytical support to business stakeholders across finera. The role combines strong analytical thinking, SQL fluency, and deliberate use of AI tooling &mdash; Claude-generated artefacts, AI-assisted SQL drafting &mdash; as a force multiplier; the expectation is to do more with AI, not less rigorous work. The analyst operates across the full landscape of finera&rsquo;s information systems, translating business questions into reliable, repeatable answers, and acts as a trusted analytical partner to department heads rather than a ticket-taker. 
 
Required Experience:
<ul><li>5+ years experience as a Data Analyst, BI Analyst, or equivalent IC role, ideally in fintech, payments, or another regulated, data-intensive industry.
</li><li>Bachelor&rsquo;s degree in a quantitative discipline (Computer Science, Statistics, Mathematics, Economics, Engineering) or equivalent demonstrable experience.
</li><li>Demonstrated track record of working independently with non-technical business stakeholders to translate ambiguous questions into structured analyses and decisions.
</li><li>Hands-on experience operating across multiple, heterogeneous data systems (relational databases, SaaS platforms, file-based exports) without requiring engineering hand-holding for data extraction.
</li><li>Comfortable working in an environment subject to PCI DSS and other regulatory controls, with appropriate handling of sensitive financial and personal data.
</li><li>Strong proficiency in integrating AI tools into daily workflows to drive efficiency, quality, and innovation
</li></ul>
 
Required Skills &amp; Competencies:
<ul><li>Strong SQL &mdash; complex joins, CTEs, window functions, performance-conscious query design &mdash; applied to PostgreSQL or comparable relational databases.
</li><li>Strong Tableau &mdash; dashboard design, calculated fields, parameters, performance tuning, publishing and permissioning on a shared server.
</li><li>Working knowledge of Python (pandas, requests, or equivalent) for data extraction, transformation, and integration tasks where SQL alone is insufficient.
</li><li>Fluent, deliberate use of AI tooling (Claude or comparable) to accelerate analytical work &mdash; including prompt design for SQL generation, validation of AI output, and creation of Claude-generated artefacts for stakeholder communication.
</li><li>Strong analytical and critical thinking combined with excellent written and verbal communication in English &mdash; able to challenge stakeholder framing, identify the question behind the question, and present findings clearly to both technical and non- technical audiences.
</li></ul>
 
Nice-to-have/Preferred:
<ul><li>Domain familiarity with payments, payment gateways, processor settlements, FX, or card schemes &mdash; understanding of concepts such as authorisation, capture, chargebacks, interchange, and effective rate calculations.
</li><li>Exposure to Salesforce reporting (SOQL, Reports &amp; Dashboards) &mdash; relevant given Salesforce&rsquo;s role as a primary CRM and operational data source at finera.
</li><li>Partner directly with stakeholders across finera (commercial, operations, finance, product, risk, compliance) to scope analytical questions, define success criteria, and deliver answers in the form best suited to the audience &mdash; Tableau dashboards, Claude-generated artefacts, ad-hoc reports, or written briefs.
</li><li>Independently retrieve, join, and validate data from across finera&rsquo;s information systems &mdash; PostgreSQL databases, Salesforce, Zendesk, Jira/Confluence, Slack, Gmail, processor settlement files, and any other relevant source &mdash; without relying on engineering support for routine extraction.
</li><li>Build, maintain, and continuously improve the BI team&rsquo;s Tableau dashboards and reporting suite, including operational reports, executive dashboards, and recurring management decks.
</li><li>Use AI tooling (Claude and comparable assistants) deliberately as a force multiplier &mdash; drafting and validating SQL, accelerating exploratory analysis, generating stakeholder-ready artefacts &mdash; while retaining full ownership of correctness, business interpretation, and data quality.
</li><li>Document data sources, business definitions, and analytical methodology so that work is reproducible, auditable, and transferable across the BI team.
</li></ul>
 
Benefits-
<ul><li>Competitive salary package aligned with experience and market standards.
</li><li>Medical Insurance starting from day 1.
</li><li>Access to training resources and development opportunities that support your professional growth.
</li><li>Well-stocked office with snacks, drinks, and refreshments available daily.
</li><li>A multinational organisation that promotes a strong, collaborative culture
</li><li>Regular team-building events and company activities that strengthen collaboration across teams.
</li><li>Employee Recognition Program celebrating our &quot;Employee of the Month&quot; with special perks.</li></ul></div>

Senior Data Analyst

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