business analyst

financial analyst

senior data engineer

data analyst

analyst

data analytics analyst

MCG Talent

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  <strong>
   We are seeking a data-driven professional to join our client's team as a Data Analyst.
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  The ideal candidate will possess a strong understanding of data and be able to leverage data analytics to optimize our campaigns and strategies. You will be responsible for collecting, analyzing, and interpreting data to inform decision-making and drive results.
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  Previous experience working in the UAE is preferred with trading/brokerage experience a +.
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  P.S. Don&rsquo;t miss out! Every week, we drop exclusive job openings and market insights straight to your inbox.
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  <strong>
   Key Responsibilities:
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   Develop and implement data-driven strategies to measure and analyze campaigns.
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   Collect and analyze data from various sources (social media, media monitoring, website analytics, etc.).
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   Identify key performance indicators (KPIs) and develop reporting dashboards.
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   Provide actionable insights to the team to inform decision-making.
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   Utilize data analytics tools to uncover trends and patterns in audience behavior.
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   Collaborate with cross-functional teams to integrate data insights into overall business strategy.
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   The Ideal Candidate:
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   Strong analytical skills and ability to translate data into actionable insights.
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   Experience in using data analytics tools and platforms.
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   Understanding of digital marketing and social media analytics.
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Data Analyst

Synechron

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 <p>
  Greetings,
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 <p>
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 <p>
  We have an immediate vacancy for a
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   Data Analyst with Google Analytics
  </strong>
  with 8+ years of experience at Synechron, based in Dubai.
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  Job Role: -
  <strong>
   Data Analyst with Google Analytics
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  Job Location: - Dubai
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  <strong>
   About Company:
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  At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron&rsquo;s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud &amp; DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17000+, and has 58 offices in 21 countries within key global markets. For more information on the company, please visit our website or LinkedIn community.
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   Diversity, Equity, and Inclusion
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   Synechron&rsquo;s Diversity, Equity, and Inclusion (DEI) program, Same Difference, was developed because we believe in a culture of listening, respect, and opportunity.
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  <strong>
   We each bring unique backgrounds, thoughts, talents, and experiences with us to work every day, and we know that by embracing them, we are creating an even greater Synechron. The best way to build a strong team is to value individual differences. So, it doesn&rsquo;t matter where you&rsquo;re from or what you&rsquo;ve had to do to get here &ndash; if you have the skills, enthusiasm, and drive to make your mark, we&rsquo;ll support you like we support each other. Choose a career with us and let&rsquo;s pursue innovation, together.
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   Job Descriptions:
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   Bachelor&rsquo;s degree in Computer Science, Engineering, Mathematics, or other related business/analytical disciplines or equivalent experience.
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   8+ years of experience in Data Analytics, with extensive experience in implementation (Google Analytics - UA, GA4), data visualization and business reporting.
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   Strong knowledge of Search Engine Optimization
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   Experience configuring Tag Management tools GTM
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   Strong knowledge and experience implementing Google Analytics with enhanced ecommerce, and Cross-domain tracking.
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   Strong problem solving, quantitative and analytical abilities.
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   Understanding of and experience using analytical concepts and statistical techniques: Running A/B tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business.
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   Advanced Excel skills.
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   Excellent communication and collaboration skills
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Data Analyst ( Google Analytics)

MetLife

<div><div><div><div><div><div>Working Schedule
</div><div>Full-Time
</div></div><div><div>Work Arrangement
</div><div>Hybrid
</div></div><div><div>Relocation Assistance Available
</div><div>No
</div></div><div><div>Posted Date
</div><div>01-Oct-2025
</div></div><div><div>Job ID
</div><div>12772
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description and Requirements
</b></h3></div></div><div><div><div><div><p>We are seeking a highly analytical and detail-oriented Data Intelligence Analyst to join our Insurance Analytics team. The role will focus on transforming raw data into meaningful insights to support strategic decision-making, improve operational efficiency, and enhance customer experience. The ideal candidate will possess strong technical skills in data analysis and visualization, combined with a solid understanding of insurance processes including policy administration, underwriting, claims, pre-approvals, call center operations, and customer experience.</p><p></p><p><b><br>
Key Responsibilities</b></p><div><ul><li>
Support the Data Intelligence and Reporting Manager with setting the data provisioning and democratization strategical direction and roadmap<ul><li>
Ensure that data intelligence and reporting projects align with organizational goals</li></ul></li></ul></div><ul><li>
Data Management &amp; Analysis: Conduct exploratory and advanced statistical analysis to identify trends, patterns, and anomalies in insurance data. Ensure data integrity, accuracy, and governance standards are met.</li><li>
Reporting &amp; Visualization: Develop interactive dashboard, workflows and reports (Power BI and Alteryx), providing actionable insights to business units (underwriting, claims, operations, actuarial, sales, customer service).</li><li>
Business Insights: Perform root cause analysis on claims leakage, fraud patterns, and operational bottlenecks.</li><li>
Collaboration &amp; Stakeholder Management: Partner with business teams (Operations, IT, Risk, Compliance, Finance) to define data requirements and KPIs.<ul><li>
Contribute to data democratization by enabling self-service reporting for business teams.</li></ul></li></ul><div><ul><li>
Data Products Development: Design, build, and maintain data products such as;<br>
 Customer 360 datasets / profiling, Claims performance dashboards for operational monitoring and leakage detection, Fraud detection models embedded as reusable analytics components, Pre-approval turnaround trackers for real-time SLA monitoring and Enable self-service data products for business teams, allowing them to access governed and trusted datasets without IT dependency.</li><li><b>
Key Skills &amp; Competencies</b></li></ul></div><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in any discipline (Preferred: Data Science, Statistics, Actuarial Science, Computer Science, or related field).</li><li>
3&ndash;6 years of experience in data analytics, preferably within the insurance or financial services industry.</li><li>
Experience with insurance systems (policy administration, claims management, CRM) is highly desirable.</li><li>
Strong analytical and problem-solving skills with attention to detail.</li><li>
Proficiency in SQL, Python/R, and data visualization tools (Power BI).</li><li>
Understanding of insurance business processes: policy lifecycle, claims, underwriting, pre-approvals, call center, and customer experience metrics.</li><li>
Knowledge of statistical techniques (regression, classification, clustering) and predictive modeling.</li><li>
Strong communication skills to present findings to both technical and non-technical stakeholders</li></ul>
</div></div></div></div></div><div><div><div><div><div><b>About MetLife</b><div></div><div><br>
Recognized on<i> Fortune magazine's list of the 2025 &quot;World's Most Admired Companies&quot; and Fortune World&rsquo;s 25 Best Workplaces&trade; for 2024, </i>MetLife<i>,</i> through its subsidiaries and affiliates, is one of the world&rsquo;s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.</div><div><br>
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by empathy, we&rsquo;re inspired to transform the next century in financial services. At MetLife, it&rsquo;s #AllTogetherPossible. Join us!</div></div></div></div></div></div></div>

Data Intelligence Analyst

Chalhoub Group

<div><p><b>INSPIRE | EXHILARATE | DELIGHT</b></p><p>
For over seven decades, Chalhoub Group has been a partner and creator of luxury experiences in the Middle East. In its pursuit to excel as a hybrid luxury retailer, the Group has curated a portfolio of over 10 owned brands and strengthened its distribution and marketing expertise for over 400 international names across luxury fashion, beauty, jewellery, watches, eyewear, and art de vivre categories.</p><p>
Every step at Chalhoub Group is taken to build a future where luxury dreams become reality &mdash; bridging cultures and crafting memorable experiences for our consumers. Be it by constantly reinventing itself, committing to innovation, or embracing new technologies, the Group is shaping the future of luxury retail. It delivers seamless omnichannel experiences across more than 950 stores, online platforms, and mobile apps. Driving this innovation journey is The Greenhouse &mdash; the Group&rsquo;s innovation hub, incubator, and accelerator for startups and emerging businesses, regionally and globally.</p><p>
Chalhoub Group fosters a people-at-heart culture rooted in diversity, equity, and inclusion, and a workplace catalysed by forward thinking and future-proofing. Today, it brings together over 16,000 talented professionals across eight countries in the Middle East, with a presence in LATAM. Their collective efforts have earned the Group the Great Place to Work certification in several markets.</p><p>
Sustainability is at the core of the Group&rsquo;s strategy, guided by a clear commitment to people, partners, and the planet. Chalhoub Group is proud to be a member of the United Nations Global Compact, a signatory of the Women&rsquo;s Empowerment Principles, and to have pledged to reach Net Zero by 2040.</p><p><b><br>
What you'll be doing</b>
</p><p>As a Specialist for Data Analytics, supporting the Internal Audit Department, you will be responsible for building the continuous monitoring as well as working with the relevant internal audit team members to define and generate the analytics best needed for the planned audits. You will also present and support analytics results and conclusions to audit clients when needed.</p><p>
You will be reporting to the engagement in-charge on assigned engagements with a direct reporting line to the Vice President - Internal Audit.</p><p>
Your responsibilities include:</p><ul>
<li>
Review the current data analytics, dashboards, and key performance indicators (KPIs) to map out our existing technical capabilities.</li>
<li>Identify gaps and develop a future-state vision for Internal Audit&rsquo;s continuous monitoring program, recommending specific data analytics platforms, visualization tools, and data infrastructure improvements.
</li><li>Work with the audit team and business leaders to translate their requirements into technical specifications for new reports and automated alerts.</li>
<li>Partner closely with IT, business, risk, and compliance teams to gain access to data sources and create a unified, cross-functional monitoring process.</li>
<li>Lead the adoption and technical configuration of internal audit&rsquo;s primary data analytics tool, ensuring it is optimized for performance and usability.</li>
<li>Provide technical training and hands-on support to the audit team, empowering them to leverage data tools and interpret analytical outputs effectively.</li>
<li>Develop a clear roadmap for building and enhancing the continuous monitoring program, presenting the business case for technology and resource investments.
</li><li>Work closely with the IA team and key stakeholders and define key exception reports and continuous monitoring methods to ensure real time reporting for key risk indicators.</li>
<li>Work closely with first and second lines of defence in the business to ensure that exception and continuous monitoring reports are aligned and establish combined assurance process.</li>
<li>Data extraction and preparation for internal audit.</li>
<li>Establish a framework for data extraction for the audit team in an autonomous
</li><li>Write and execute complex SQL queries and Python scripts to extract large, diverse datasets from primary sources, including ERPs (SAP, Oracle), cloud platforms (AWS, Azure), and on-premise databases.</li>
<li>Design, build, and maintain automated ETL (Extract, Transform, Load) pipelines to ensure the timely and reliable flow of data from source systems into our analytics environment.</li>
<li>Utilize Python libraries (Pandas, NumPy) to perform critical data preparation tasks.</li>
<li>Handle missing values, correcting data types, and removing duplicates.</li>
<li>Standardize formats across different data sources.</li>
<li>Join, merge, and aggregate disparate datasets to create unified views for analysis.</li>
<li>Implement data validation checks and quality assurance scripts to guarantee the accuracy and reliability of the data used for monitoring.</li>
<li>Apply analytical techniques to the prepared data to develop key risk indicators, exception reports, and dashboards that provide real-time insights.</li>
</ul><p><b>
What you&rsquo;ll need to succeed</b><br>
<br>
</p><ul><li>You have 5 to 7 years of experience in design and application of advanced data analytics techniques, with at least 3 years working with internal audit or internal controls teams.</li>
<li>You hold a Bachelor&rsquo;s degree or equivalent in computer science, management information systems or STEM. An advanced degree in analytics (i.e. MS Business Analytics, Masters Data Analytics, Masters Information &amp; Data Science) is a plus.</li>
<li>You preferably hold professional certifications such as ACL Certified Data Analyst (ACDA), Certified Analytics Professional (CAP), CompTIA Data+.</li>
<li>You have experience working Looker, BigQuery, and SQL and data visualization tools (e.g Tableau, Power BI).</li>
<li>You are a continuous learner who is attentive to details, curious, proactive and self-directed, and an excellent problem solver and communicator.</li>
</ul><p><b>
What we can offer you</b>
</p><p>With us, you will turn your aspirations into reality. We will help shape your journey through enriching experiences, learning and development opportunities and exposure to different assignments within your role or through internal mobility. Our Group offers diverse career paths for those who are extraordinary, every day.
</p><p>We recognise the value that you bring, and we strive to provide a competitive benefits package which includes health care, child education contribution, remote and flexible working policies as well as exclusive employee discounts.</p><p><b>
We Invite All Applicants to Apply</b></p><p>
It Takes Diversity Of Thought, Culture, Background, Differing Abilities and Perspectives to truly Inspire, Exhilarate and Delight our customers. At Chalhoub Group, we are committed to inclusion and diversity.</p><p>
We welcome all applicants to apply and be part of our exciting future. We ensure equal opportunity for all our applicants without regard to gender, age, race, religion, national origin or disability status.</p></div>

Data Analytics Specialist - Internal Audit

Emirates Auction LLC

The Role
<br><ul>
<li>Analyze datasets to identify trends, patterns, and correlations. • Develop and maintain dashboards, reports, and visualizations for business stakeholders. • Work with cross-functional teams to understand business needs and provide data-driven solutions. • Monitor key performance indicators (KPIs) and generate insights to optimize business performance. • Use statistical methods and tools to interpret data and generate actionable insights. • Support data governance, quality standards, and best practices in data management. • Automate repetitive reporting tasks to improve efficiency. • Present findings and recommendations in a clear and concise manner to both technical and non-technical audiences.</li>
</ul>
Requirements
<br><ul>
<li>Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or related field. • Bilingual – English & Arabic • Proven experience as a Data Analyst or in a similar role. • Strong proficiency in SQL for querying databases. • Experience with data visualization tools (e.g., Power BI, Tableau, Qlik, Looker). • Proficiency in Excel for data manipulation and reporting. • Familiarity with programming languages such as Python or R for data analysis. • Strong analytical and critical thinking skills. • Excellent communication and presentation abilities. • Attention to detail and strong problem-solving skills.</li>
</ul>
About the company
<br>Emirates Auction L.L.C. is a leading UAE-based auction company in the Middle East. Founded in 2004, the company specializes in automobiles, vehicle license plates, real estate and properties, asset liquidation, VIP mobile numbers, jewelry, time-sensitive items, and heavy machinery, plant and construction equipments. Emirates Auction has achieved numerous milestones in a short span of time since its establishment, breaking seven (7) Guinness World Records along the way and giving its clients from the government and private sectors higher returns for their actionable items and unrivaled customer service.

FORTITUDE INTERNATIONAL DMCC

<p><b>About Us:</b><br/>We are a dynamic trading company seeking a skilled Data Analyst to support our research and trading operations. The role requires strong analytical ability, market awareness, and data-handling expertise.</p><p><b>Responsibilities:</b></p><ul><li>Collect, analyze, and interpret trading and market data.</li><li>Prepare reports and dashboards to support decision-making.</li><li>Identify market patterns, risks, and opportunities.</li><li>Work closely with trading and research teams on data-driven strategies.</li><li>Maintain data accuracy and ensure timely reporting.</li></ul><p><b>Requirements:</b></p><ul><li>1&ndash;4 years of experience in data analysis.</li><li>Strong knowledge of <b>Excel, SQL, Python, or other analytical tools</b>.</li><li>Understanding of <b>market trends</b> and financial data.</li><li>Excellent analytical, problem-solving, and communication skills.</li></ul><p><b>What We Offer:</b></p><ul><li>Competitive salary package.</li><li>Professional growth in a trading-focused environment.</li><li>Exposure to real-world market research and analysis.</li></ul><p>Job Type: Full-time</p>

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
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.<br>
<br>
Key job responsibilities<br>
<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>Present analysis in easily digestible standard reports</li><li>Support to ICQA &amp; Learning Team Projects
</li></ul></div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>Problem-solving and analytical thinking</li><li>Clear communication with stakeholders</li><li>Project planning and execution</li><li>Ability to translate business needs into technical solutions</li><li>Hands-on experience with AWS core services (S3, Lambda, Glue, Redshift, EMR), Python data stack (pandas, numpy, scikit-learn), advanced SQL, ETL pipeline design and implementation, and data lake/warehouse architecture</li></ul><h2 class="jobSectionHeader"><b><br>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with machine learning projects including model development and deployment</li></ul><br>
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.</div>

Data Analyst, AMET Central Data Analytics team

Explore 1922+ Data analytics analyst in Dubai this October. Find roles across top companies and apply now to boost your career.

1922 data analytics analyst jobs IN Dubai

Data Analyst

Data Analyst ( Google Analytics)

Data Intelligence Analyst

Data Analytics Specialist - Internal Audit

Data Analyst

Data Analyst

Data Analyst, AMET Central Data Analytics team