business analyst

financial analyst

data analyst

senior business analyst

data scientist

senior data analyst

NEWCOM Computer Systems LLC

<p><b>Job Summary:</b><br/>We are seeking a skilled Power Data Analyst with Power BI Skills to transform raw data into meaningful insights that support decision-making across the organization. The ideal candidate will have strong analytical skills, proficiency in data visualization, and hands-on experience with Power BI, along with the ability to communicate findings effectively to both technical and non-technical stakeholders.</p><p><b>Key Responsibilities:</b></p><ul><li>Design, develop, and maintain interactive dashboards and reports in Power BI.</li><li>Gather requirements from business teams and translate them into effective data models and visualizations.</li><li>Connect, import, clean, and transform data from multiple sources (databases, ERP systems, Excel, etc.).</li><li>Create and optimize DAX queries and measures for accurate reporting.</li><li>Ensure data accuracy, consistency, and security across reports and dashboards.</li><li>Perform data analysis to identify trends, patterns, and insights for business improvement.</li><li>Automate reporting processes and develop self-service BI solutions for end-users.</li><li>Collaborate with cross-functional teams (IT, Finance, Sales, HR, etc.) to deliver data-driven insights.</li><li>Stay updated on best practices, new features, and emerging trends in Power BI and data analytics.</li></ul><p><b>Qualifications &amp; Skills:</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Statistics, Business Analytics, or a related field.</li><li><b>Certification in Power BI is mandatory.</b></li><li>Proven experience as a Data Analyst or BI Specialist with strong focus on Power BI.</li><li>Proficiency in DAX, Power Query, and data modeling techniques.</li><li>Strong knowledge of SQL and experience with relational databases.</li><li>Advanced Excel skills (pivot tables, formulas, data visualization).</li><li>Experience with data integration and ETL processes is an advantage.</li><li>Analytical mindset with problem-solving skills and attention to detail.</li><li>Strong communication skills to present insights to stakeholders.</li></ul><p><b>Preferred:</b></p><ul><li>Minimum 5-8 Yrs of experience is required.</li><li>Experience with other BI tools (Tableau, Qlik, etc.).</li><li>Knowledge of Python or R for data analysis.</li><li>Familiarity with cloud platforms such as Azure Data Services.</li></ul><p>Job Type: Full-time</p><p>Pay: AED5,000.00 - AED8,000.00 per month</p><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Experience:</p><ul><li>Data Analyst: 5 years (Required)</li></ul><p>License/Certification:</p><ul><li>power BI Certification from Microsoft (Required)</li></ul>

Senior Data Analyst

Nouveaux Talents

<div>
 <p>
  This is a strategic role designed for a
  <strong>
   proactive, detail-oriented analyst
  </strong>
  who can turn audience data into actionable insights that shape event growth, drive engagement, and enhance commercial outcomes.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role will be central to strengthening the audience data across portfolios &mdash; through intelligent audits, identifying gaps in segmentation, and uncovering new high-potential sources of audience growth.
 </p>
 <p>
  You will work across marketing, content, commercial and central data teams to ensure that each portfolio is supported with the right audience intelligence, and help evolve the data universe into a valuable strategic asset.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   1. Data Universe Auditing &amp; Gap Identification:
  </strong>
 </p>
 <ul>
  <li>
   Conduct in-depth audits of each brand&rsquo;s audience database (exhibitor and visitor side).
  </li>
  <li>
   Analyse marketability, segmentation, completeness of demographic fields, and behavioural data.
  </li>
  <li>
   Present clear gap analyses and prioritised action plans to guide research, enrichment, or reactivation strategies.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   2. Audience Data Research &amp; Expansion:
  </strong>
 </p>
 <ul>
  <li>
   Work with the Head of Data &amp; Analytics to identify strategic sources for data acquisition (e.g., associations, public databases, competitor websites, BNC/EIC platforms).
  </li>
  <li>
   Coordinate research briefs and data partner engagement for targeted data builds.
  </li>
  <li>
   Contribute to scoping new internal tools (e.g., web scrapers, enrichment workflows) to support long-term audience growth.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   3. Insight Generation &amp; Use Case Support:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
   </strong>
   Build reports and visualisations to support audience segmentation strategies and market development plans.
  </li>
  <li>
   Evaluate data quality and research performance across campaigns and data providers
  </li>
  <li>
   Support Marketing and Commercial teams with insights that align audience development with business objectives.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   4. Cross-functional Collaboration:
  </strong>
 </p>
 <ul>
  <li>
   Collaborate with Marketing, Sales, and Content teams to ensure audience insights are applied effectively.
  </li>
  <li>
   Work closely with the central data/engineering team to validate data pipelines, enrichments, and imports.
  </li>
  <li>
   Actively contribute to persona-building and customer journey workshops with meaningful data inputs.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   4-6 years of experience in data analysis, ideally within audience strategy, market research, or marketing analytics.
  </li>
  <li>
   Strong proficiency in SQL, Excel, and BI tools (e.g., Power BI) for querying and analysing large datasets.
  </li>
  <li>
   Experience in identifying data quality issues, building reports, and translating findings into action.
  </li>
  <li>
   Proactive, investigative mindset &mdash; you seek out insights, gaps, and hidden opportunities.
  </li>
  <li>
   Comfortable presenting complex data in a digestible format to commercial and marketing stakeholders.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Desirable
  </strong>
 </p>
 <ul>
  <li>
   Background in B2B marketing, events, media, or exhibitions.
  </li>
  <li>
   Exposure to data acquisition, enrichment, or scraping workflows.
  </li>
  <li>
   Familiarity with segmentation, TAM analysis, or market universe modelling.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why This Role Matters
  </strong>
 </p>
 <p>
  You&rsquo;ll play a critical role in helping the business understand who their audiences are, where the gaps lie, and how to grow strategically &mdash; influencing not just data strategy but how to engage with entire segments of the global market.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Other benefits-
  </strong>
 </p>
 <p>
  Attractive Pay &amp; UAE Benefits.
 </p>
 <p>
 </p>
</div>


TPConnects

<div>
  <p><b>Key Responsibilities</b></p>
  <ul>
    <li>Collect, process, and analyze large volumes of data from multiple sources to identify trends, patterns, and insights.</li>
    <li>Develop and implement machine learning models to support predictive analytics and decision-making processes.</li>
    <li>Design, build, and maintain interactive dashboards and reports using Tableau to communicate findings effectively to non-technical stakeholders.</li>
    <li>Collaborate with cross-functional teams to understand business needs and translate them into data strategies.</li>
    <li>Present complex analytical concepts and results to senior management and executive teams clearly and concisely.</li>
    <li>Ensure data accuracy, quality, and integrity throughout all analysis and reporting activities.</li>
    <li>Stay updated with the latest trends in big data, analytics, and machine learning technologies.</li>
  </ul>
  <p><b>Skills and competencies</b></p>
  <ul>
    <li>Bachelor s or master s degree in data science, Statistics, Computer Science, or a related field.</li>
    <li>Proven experience (3+ years) in data analysis, with a focus on big data environments.</li>
    <li>Strong knowledge of machine learning algorithms and frameworks.</li>
    <li>Expertise in using Tableau for data visualization and storytelling.</li>
    <li>Proficiency in SQL, Python, R, or other analytical tools and languages.</li>
    <li>Excellent communication and presentation skills, with the ability to convey technical information to non-technical audiences.</li>
    <li>Strong problem-solving skills and attention to detail.</li>
  </ul>
</div>

Tabby

Senior Data Analyst, Customer Experience Department: CX Analytics Employment Type: Full Time Location: Remote Reporting To: Anton Filimonov Description Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 15 million users choose Tabby to stay in control of their spending and make the most out of their money. The company's flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 4 Senior Data Analyst, Customer Experience Department: CX Analytics Employment Type: Full Time Location: Remote Reporting To: Anton Filimonov Description Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 15 million users choose Tabby to stay in control of their spending and make the most out of their money. The company's flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 40,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $10 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $3.3 billion. About the Role As a Customer Experience (CX) Data Analyst , you will play a central role in transforming how we support our customers by leveraging data, automation, and AI. You'll empower teams with insights, optimize support operations, and co-create intelligent workflows with LLM agents. This role blends analytics, process optimization, and LLM integration to drive smarter, faster, and more human-centered support experiences. What you will be doing Data Analysis &amp; Insights Analyze large-scale datasets related to agent performance, support interactions and QA. Write optimized SQL queries using tools like BigQuery and ClickHouse. Build dashboards in Tableau, Metabase. Detect behavioral and performance trends among agents and support teams. Partner with QA to identify root causes in agent behavior and customer issues. LLM Agent Development &amp; Evaluation Design and test LLM agents embedded in support flows. Implement evaluation pipelines (manual + automatic) for LLM response quality using semantic similarity and completion metrics. Collaborate with AI/ML teams to monitor and improve the performance of LLM agents over time. Collaborate with Dev teams, request features to enhance LLM agents. Collaborate with Tools &amp; Processes team to enhance the knowledge base for LLM agents. Automation &amp; Workflow Optimization Work with Airflow and Python to automate data tasks and support workflows. Suggest and co-build improvements in agent tooling, ticket routing, and SLA tracking. Translate business inefficiencies into trackable metrics and measurable outcomes. Cross-Functional Collaboration Act as an analytical partner to Operations, Support Management, QA, and Training. Work with Data Engineering to ensure clean, accurate, and well-modeled data pipelines. Communicate findings clearly through presentations, visualizations, and concise documentation. What you'll need 3+ years of experience as a data analyst in a fast-paced, data-heavy environment. Advanced SQL skills (preferably in BigQuery and/or ClickHouse). Proficiency in Python for data analysis, automation, and integration tasks. Experience with data visualization tools (e.g. Tableau, Metabase, Looker). Understanding of Airflow, DAG orchestration, and modern data pipelines. Experience with LLM agents, prompt engineering, and OpenAI API usage. Ability to translate business questions into structured, testable hypotheses. Strong presentation and storytelling skills; able to communicate with technical and non-technical stakeholders alike. Upper-Intermediate or higher English proficiency (spoken and written). Job Benefits Relocation and Employment We offer remote work from anywhere in the world (our schedule is based on Dubai time though) and are happy to work out an individual relocation plan for you. Our employees have the opportunity to choose a country for registration: at the moment those are Armenia, Georgia, Serbia, Portugal, Spain, UAE. What you can expect We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. A working environment that gives you autonomy and responsibility from day one. You should be comfortable with the idea that the quality of your work will influence the shape of your career. Participation in the company's employee stock options program. We are passionate about creating an inclusive, high-performing workplace that gives people from all backgrounds the support they need to thrive, grow, and meet their goals (whatever they may be). If this sounds exciting to you, we'd love to hear from you!

Senior Data Analyst, Customer Experience

DMG Events

<div>
<div>
<div>
<span> <strong>Key Responsibilities:</strong> </span>
</div>
</div>
<div>
<div>
<span>1. Data Universe Auditing &amp; Gap Identification</span>
</div>
</div>
<div>
<div>
<span>o Conduct in-depth audits of each brand s audience database (exhibitor and visitor side)</span>
</div>
</div>
<div>
<div>
<span>o Analyse marketability, segmentation, completeness of demographic fields, and behavioural data</span>
</div>
</div>
<div>
<div>
<span>o Present clear gap analyses and prioritised action plans to guide research, enrichment, or reactivation strategies</span>
</div>
</div>
<div>
<div>
<span>2. Audience Data Research &amp; Expansion</span>
</div>
</div>
<div>
<div>
<span>o Work with the Head of Data &amp; Analytics to identify strategic sources for data acquisition (e.g., associations, public databases, competitor websites, BNC/EIC platforms)</span>
</div>
</div>
<div>
<div>
<span>o Coordinate research briefs and data partner engagement for targeted data builds</span>
</div>
</div>
<div>
<div>
<span>o Contribute to scoping new internal tools (e.g., web scrapers, enrichment workflows) to support long-term audience growth</span>
</div>
</div>
<div>
<div>
<span>3. Insight Generation &amp; Use Case Support</span>
</div>
</div>
<div>
<div>
<span>o Build reports and visualisations to support audience segmentation strategies and market development plans</span>
</div>
</div>
<div>
<div>
<span>o Evaluate data quality and research performance across campaigns and data providers</span>
</div>
</div>
<div>
<div>
<span>o Support Marketing and Commercial teams with insights that align audience development with business objectives</span>
</div>
</div>
<div>
<div>
<span>4. Cross-functional Collaboration</span>
</div>
</div>
<div>
<div>
<span>o Collaborate with Marketing, Sales, and Content teams to ensure audience insights are applied effectively</span>
</div>
</div>
<div>
<div>
<span>o Work closely with the central data/engineering team to validate data pipelines, enrichments, and imports</span>
</div>
</div>
<div>
<div>
<span>o Actively contribute to persona-building and customer journey workshops with meaningful data inputs</span>
</div>
</div>
<div>
<div>
<span><strong>Qualifications &amp; Experience</strong> </span>
</div>
</div>
<div>
<div>
<span>o 4-6 years of experience in data analysis, ideally within audience strategy, market research, or marketing analytics</span>
</div>
</div>
<div>
<div>
<span>o Strong proficiency in SQL, Excel, and BI tools (e.g., Power BI) for querying and analysing large datasets</span>
</div>
</div>
<div>
<div>
<span>o Experience in identifying data quality issues, building reports, and translating findings into action</span>
</div>
</div>
<div>
<div>
<span>o Proactive, investigative mindset you seek out insights, gaps, and hidden opportunities</span>
</div>
</div>
<div>
<div>
<span>o Comfortable presenting complex data in a digestible format to commercial and marketing stakeholders</span>
</div>
</div>
</div>

Senior Data Analyst - Audience Growth

<p><b>About the Role:</b></p><p>We are seeking an experienced Business Analyst with strong analytical and visualization skills to support business decision-making through data-driven insights. The ideal candidate will bridge business needs and technical capabilities by translating data into meaningful business recommendations using Power BI and other analytical tools.</p><p><b>Responsibilities</b><b>: </b></p><ul><li>Partner with cross-functional teams to understand business challenges and define analytical requirements.</li><li>Develop interactive Power BI dashboards and reports to monitor business performance and KPIs.</li><li>Conduct business and financial analysis to identify trends, risks, and opportunities.</li><li>Document and translate business requirements into technical specifications for data and system teams.</li><li>Collaborate with stakeholders to design process improvements based on data insights.</li><li>Ensure data integrity, accuracy, and timely reporting for management reviews.</li></ul><p><b>Required Qualifications</b><b>:</b></p><ul><li>Bachelor&rsquo;s degree in Business, Statistics, Computer Science, or a related field.</li><li>5&ndash;8 years of experience in business analysis or a related analytical role.</li><li><b>Power BI Certification (Mandatory)</b> with proven dashboard development experience.</li><li>Proficiency in Excel (Advanced), SQL, and data modelling concepts.</li><li>Strong communication and presentation skills to convey insights to non-technical stakeholders.</li></ul><p><b>Preferred Qualifications</b><b>: </b></p><ul><li>Experience working with ERP or CRM systems.</li><li>Knowledge of Python, R, or other data analytics tools.</li><li>Experience in the technology distribution or consumer electronics industry.</li></ul><p>Job Type: Full-time</p><p>Pay: AED6,000.00 - AED8,000.00 per month</p><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>Business Analyst: 5 years (Required)</li><li>preparing BRD/ FRD documents: 5 years (Required)</li></ul><p>License/Certification:</p><ul><li>Power BI certification from Microsoft (Required)</li></ul>

Senior Business Analyst

Amazon

<div>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 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/>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Basic Qualifications
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with machine learning projects including model development and deployment
   <br/>
   <br/>
  </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.
 <br/>
 <br/>
 <br/>
 <strong>
  Company
 </strong>
 - Q-Express Documents Transport - G25
 <br/>
 <br/>
 Job ID: A3098726
</div>


Data Analyst, AMET Central Data Analytics team

Explore 3531+ Senior data analyst in Dubai this November. Find roles across top companies and apply now to boost your career.

3531 senior data analyst jobs IN Dubai

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst, Customer Experience

Senior Data Analyst - Audience Growth

Senior Business Analyst

Data Analyst, AMET Central Data Analytics team