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data analytics specialist

KAIZEN Asset Management Services

<div>
 Are you driven by a strong desire to convert data into actionable strategies and enhance operational excellence? We invite you to become part of our
 <strong>
  Consumer Services team
 </strong>
 as an
 <strong>
  Operational Excellence &amp; Data Specialist
 </strong>
 . In this role, you will serve as the cornerstone of efficiency, insights, and technological advancement for our department.
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 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Systems &amp; Platform Administration: Act as the primary authority on all departmental tools and systems, encompassing Zoho CRM, Consumer Services Portal, Maqsam, Ultramsg, Coolify, Hetzner VPS, OpenAI, and backend integrations. Ensure optimal operations, oversee system updates, and foster high internal user satisfaction
  </li>
  <li>
   Data &amp; Reporting Management: Generate and present accurate weekly, monthly, and quarterly reports for management and clients. Uphold financial trackers, performance dashboards, and ensure that chatbot knowledge bases are continuously updated
  </li>
  <li>
   Operational Coordination &amp; Documentation: Spearhead project mobilizations, manage standard operating procedures (SOPs) and master documentation, organize contracts, and guarantee the efficient completion of recurring operational tasks
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Indicators of Success:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Achieving 100% uptime and functionality of systems
  </li>
  <li>
   Delivering accurate, timely, and insightful reports
  </li>
  <li>
   Maintaining well-organized documentation and operational excellence
  </li>
  <li>
   Contributing to strategic decisions through actionable data
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  What We're Looking For:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in CRM management (preferably Zoho CRM)
  </li>
  <li>
   Proficiency in data reporting &amp; analytics tools (Excel, Zoho Analytics, internal dashboards)
  </li>
  <li>
   Detail-oriented with excellent organizational and operational skills
  </li>
  <li>
   Tech-savvy with experience in AI integrations, VPS management, and internal platforms
  </li>
  <li>
   Ability to collaborate across teams and streamline processes
   <br/>
   <br/>
  </li>
 </ul>
 If you thrive in a fast-paced environment and enjoy turning data into actionable insights, we want to hear from you!
 <br/>
 <br/>
 <strong>
  Apply now and help us shape the future of Consumer Services at KAIZEN AMS!
 </strong>
</div>


Operational Excellence & Data Specialist

Easygenerator

A fast-growing EdTech company in Dubai is seeking a Senior Data Analyst to join the Product & Data team. The ideal candidate will have 5-7 years of experience in data analytics, advanced SQL skills, and expertise in visualization tools like Tableau and Power BI. You will partner with leadership to drive data-informed strategies, mentor junior analysts, and ensure data quality across analytics initiatives. A competitive compensation package, including visa support and benefits, will be provided.

Senior Data Analyst, SaaS Product & Growth Insights

Confidential Company

<p>A leading DMC company in Dubai is seeking a skilled and analytical <strong>Data Analyst / BI Specialist</strong> with strong expertise in <strong>Power BI</strong> and additional experience in <strong>Tableau</strong> or <strong>QlikView</strong>. The role focuses on developing interactive dashboards, building complex datasets, and integrating data from various sources such as Excel, APIs, and databases. The ideal candidate will support data-driven decision-making and contribute to the company’s long-term BI scalability.</p><br/><p><strong>Data Integration & Preparation</strong></p><ul><li>Create large datasets by consolidating and transforming multiple      Excel tables, ensuring accuracy and consistency</li><li>Extract and integrate data from APIs, using API documentation and      relevant tools.</li><li>Connect to and query databases (SQL Server, MySQL, or similar) to      retrieve, prepare, and refresh data.</li></ul><p><strong>BI Development</strong></p><ul><li>Design, build, and maintain advanced Power BI dashboards with      interactive visualizations and dynamic reporting capabilities.</li><li>Apply data modeling, DAX calculations, and measures for performance      optimization in Power BI.</li><li>Support BI development in other tools such as Tableau or QlikView      as required.</li></ul><p><strong>Data Analysis</strong></p><ul><li>Perform complex data analysis, using Excel (nested formulas, pivot      tables, advanced functions, array formulas, and large dataset handling).</li><li>Identify trends, anomalies, and actionable insights from large and      complex datasets.</li></ul><p><strong>Collaboration & Reporting</strong></p><ul><li>Partner with stakeholders to understand reporting requirements and      translate them into effective BI solutions.</li><li>Ensure data accuracy, reliability, and timely delivery of reports.</li></ul>

Data Analyst / BI Specialist

H J Properties

<p>We are looking for a highly analytical and detail-oriented <b>Data Analyst</b> who can transform complex data into meaningful business insights. The ideal candidate will have hands-on experience in SQL, Power Query, Excel, Python, and Power BI to support reporting, automation, and data-driven decision-making across departments.</p><p><b>Key Responsibilities</b></p><ul><li>Collect, clean, and transform data using <b>SQL</b> and <b>Power Query</b> from various sources.</li><li>Build and maintain <b>data models</b>, <b>dashboards</b>, and <b>interactive reports</b> in <b>Power BI</b>.</li><li>Use <b>Excel</b> for advanced data analysis &mdash; Power Pivot, DAX measures, XLOOKUP, Dynamic Arrays, and LAMBDA functions.</li><li>Perform in-depth analysis using <b>Python (Pandas, NumPy)</b> for data manipulation and automation.</li><li>Develop and optimize <b>SQL queries, joins, CTEs, subqueries, views, and stored procedures</b> for efficient reporting.</li><li>Create and manage <b>data relationships</b> across multiple datasets for accurate performance tracking.</li><li>Implement <b>DAX formulas</b> to calculate KPIs, performance metrics, and trend analysis.</li><li>Collaborate with business teams to understand data requirements and translate them into actionable insights.</li><li>Ensure data integrity, quality, and consistency across analytical systems.</li></ul><p><b>Required Skills</b></p><ul><li><b>SQL:</b> Joins, Group By, Subqueries, CTEs, Stored Procedures, Views, Window Functions.</li><li><b>Power Query:</b> Table, Text, and List Functions, Merge &amp; Append Queries.</li><li><b>Excel:</b> Power Pivot, Data Model, Measures, Dynamic Arrays, LAMBDA, XLOOKUP, GroupBy, Filter.</li><li><b>Python:</b> Pandas, NumPy for data cleaning, analysis, and process automation.</li><li><b>Power BI:</b> Data Modeling, DAX, and creation of dynamic and interactive dashboards.</li></ul><p><b>Qualifications</b></p><ul><li>Bachelor&rsquo;s degree in Data Analytics, Computer Science, Statistics, or a related field.</li><li>2&ndash;4 years of proven experience in data analytics or business intelligence.</li><li>Strong analytical mindset and problem-solving ability.</li><li>Excellent communication skills to present insights clearly to non-technical stakeholders.</li></ul><p><b>Preferred</b></p><ul><li>Experience in automating data workflows between Excel, Power BI, and SQL databases.</li><li>Knowledge of ETL processes or cloud data tools (e.g., Azure, BigQuery) is an advantage.</li></ul><p>Job Type: Full-time</p>

Data Analyst-Real Estate Mandatory

Corporate Offices

<div><h3 class="jobSectionHeader"><b>Description</b></h3><div><br>
<b>
About Kempinski:</b><br>
At Kempinski, we don't just offer stays; we curate moments. As a hospitality organization, anchored in a legacy of elegance and a pioneering spirit, we have grown into a collection of iconic hotels and resorts around the world, each a landmark in its own right. From grand palaces steeped in history to contemporary masterpieces of design, Kempinski is where impeccable service meets authentic local experiences.</div><div>
<br>
We empower our people to be artisans of hospitality, fostering an environment where passion is nurtured, individuality is celebrated, and every detail is thoughtfully considered. Joining Kempinski means becoming part of a family that is dedicated to creating memories that last a lifetime for our guests, and a fulfilling and enriching career for our team.<br>
</div><div>If you are driven by excellence, inspired by the art of hospitality, and seek to contribute to a legacy of luxury, we invite you to explore the exceptional opportunities that await you at Kempinski Hotels. Come, be a part of our story.</div><br>
<h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li><br>
Data Strategy &amp; Infrastructure</li></ul>
o Collaborate with IT teams to enhance data pipelines, governance, and infrastructure for advanced analytics tools, initially focused on revenue management.<br>
o Design and oversee the development of Revenue Management Tools and data infrastructure, overseeing multiple providers.<br>
o Define and enforce data standards, quality measures and reporting consistency across commercial organization, including the identification of new data streams that would augment the quality of algorithms and modelling.<br>
o Ensure the quality, integrity, and accessibility of key data sources relevant to all Commercial organization, supporting the team in data availability.<br>
o Champion a data-driven culture across all business units, working closely with cross-functional teams (strategy, finance, operations, digital) to align analytics with strategic objectives.<br>
o Serve as an internal thought leader on emerging trends, tools and applications of data science in the travel and leisure sector.<br>
o Build a high-performing data science team (year 2 onwards)<br>
<br>
<ul><li>Revenue Management Strategy</li></ul>
o Partner with commercial teams to develop data-driven tools for forecasting, pricing, product mix, inventory and channel optimization.<br>
o Support dynamic pricing and demand management initiatives through data automation and real-time analytics.<br>
o Develop algorithms to enhance channel mix, distribution strategy, and profitability. o Build recommendation engines for upselling, cross-selling, and dynamic packaging.<br>
o Scale up the tools across the organization.<br>
o Contribute to widespread adoption of implemented tools by ensuring proper understanding of functionality and business logics by end users, capturing feedback and enhancement suggestions from user community that can be prioritized and packaged in future releases.<h3 class="jobSectionHeader"><b><br>
Skills, Knowledge and Expertise</b></h3><ul><li><b><br>
Education and Functional Competency</b></li></ul><div>
o 3-5 years of experience in data science, advanced analytics, or quantitative consulting o Strong expertise in big data-platforms, data analytics and engineering, predictive modelling.<br>
o Track record of driving measurable commercial and operational impact through data science.<br>
o Proven track record in revenue management or demand forecasting is a strong plus.<br>
o Bachelor&rsquo;s or master&rsquo;s degree in Data Science, Computer Science, Statistics, Economics, or a related quantitative discipline</div><div>
</div><ul><li><b>
Key Competencies and Personality</b></li></ul><div>
o Strong analytical and quantitative reasoning capabilities.</div><div>
o Proficiency in building and deploying analytical models, using modern data tools and programming techniques.</div><div>
o Ability to effectively communicate, explain and educate on complex models across different business units and management layers.</div><div>
o Ability to work with large and complex datasets to derive actionable insights.</div><div>
o Familiarity with contemporary data science methods and approaches to automation, modelling, and visualization.<br>
o Programming: Python, SQL o Cloud / Data Engineering: AWS (S3), Azure, Databricks o Visualization / BI: Power BI, Tableau</div><div></div><h3 class="jobSectionHeader"><b><br>
About Corporate Offices</b></h3><div>
Founded in Germany in 1897, Kempinski Hotels has long reflected the finest traditions of European hospitality. Today, as ever, Kempinski is synonymous with distinctive luxury.<br>
<br>
Located in many of the world's most well-known cities and resorts, the Kempinski collection includes hotels in a grand manner, pace-setting modern establishments and older hotels of individual charm. All blend gracefully into their surroundings and offer luxurious accommodation, superb cuisine and unrivalled facilities - complemented by impeccable service.<br>
<br>
For leisure and business guests alike, the name Kempinski has long been synonymous with style, mobility and efficiency. Put simply, they are the first choice for the discerning individual.<br>
<br>
In addition to operating many of the finest city hotels in the world, Kempinski is a name that can now be found in many exciting resort locations, each combining local flair and ambience with the international standards of service and luxury that Kempinski guests have come to expect.</div></div>

Data Scientist Senior Manager

LM EXCHANGE

<p><b>About the Role</b></p><p>We are seeking a highly skilled and detail-oriented <b>Data Analyst</b> to join our dynamic team. The ideal candidate will possess strong analytical skills with proven expertise in <b>SQL, Power BI, Tableau</b>, and <b>Advanced Excel</b>.</p><p>You will be responsible for collecting, analysing, and interpreting data to support business decisions and performance optimisation. Candidates in the UAE are preferred</p><p><b>Key Responsibilities</b></p><ul><li>Extract, clean, and analyse data from multiple sources using SQL.</li><li>Develop and maintain dashboards and reports using <b>Power BI</b> and <b>Tableau</b>.</li><li>Create and automate advanced <b>Excel models</b> for business reporting and forecasting.</li><li>Identify data trends, provide insights, and recommend actionable strategies.</li><li>Collaborate with cross-functional teams (Finance, Operations, IT) to improve data processes and accuracy.</li><li>Ensure data integrity, consistency, and confidentiality across all systems.</li></ul><p><b>Requirements</b></p><ul><li>Bachelor&rsquo;s degree in <b>Data Analytics, Statistics, Computer Science, or a related field</b>.</li><li>Proven experience (2&ndash;4 years) as a <b>Data Analyst</b> or in a similar analytical role.</li><li>Strong proficiency in <b>SQL</b>, <b>Power BI</b>, <b>Tableau</b>, and <b>Advanced MS Excel</b> (pivot tables, Power Query, macros, data visualisation).</li><li>Excellent analytical, problem-solving, and communication skills.</li><li>Ability to manage multiple priorities and meet deadlines with accuracy.</li></ul><p><b>Preferred Skills</b></p><ul><li>Knowledge of Python or for data analysis (an advantage).</li><li>Experience with large datasets and database management systems.</li><li>Understanding of business intelligence and data warehousing concepts.</li></ul><p>Job Type: Full-time</p><p>Pay: AED3,000.00 - AED3,500.00 per month</p>

Data Analyst

Tabby

<div><span style="font-size: 11px;"><br></span></div><div><span style="font-size: 11px;"><b>What You'll Be Doing</b></span></div><div><span style="font-size: 11px;">Build and maintain clear, insightful dashboards and reports across the employee lifecycle.</span></div><div><span style="font-size: 11px;">Dig into HR data (think: hiring, attrition, engagement, performance) and find the stories behind the numbers.</span></div><div><span style="font-size: 11px;">Run deep-dive ad-hoc analyses and present findings in a way that drives action, not just information.</span></div><div><span style="font-size: 11px;">Ensure data quality across our HR systems, and help streamline and automate reporting workflows.</span></div><div><span style="font-size: 11px;">Partner with HR, Finance, and Leadership to support strategic workforce planning and decision-making.</span></div><div><span style="font-size: 11px;">Be our go-to person for all things HR analytics.</span></div><div><span style="font-size: 11px;"><br></span></div><div><span style="font-size: 11px;"><b>What You'll Bring</b></span></div><div><span style="font-size: 11px;">2-4 years of experience in HR analytics, people operations, or a related data role.</span></div><div><span style="font-size: 11px;">Hands-on experience with HR systems (HRIS, ATS), DWH (BigQuery), and visualization tools (Looker, Metabase etc.).</span></div><div><span style="font-size: 11px;">Advanced knowledge of SQL, Python.</span></div><div><span style="font-size: 11px;">You're fluent in spreadsheets (Excel or Google Sheets) and can tell a story with numbers.</span></div><div><span style="font-size: 11px;">A natural curiosity and sharp eye for spotting patterns, gaps, and opportunities.</span></div><div><span style="font-size: 11px;">Clear communication skills-you can turn complex findings into simple narratives.</span></div><div><span style="font-size: 11px;">Bonus points if you've worked in a startup, tech, or fintech environment.</span></div>

Data Analyst, People Tech

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