business analyst

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senior data engineer

data analyst

analyst

database analyst

Styli

<div>
 
 
 Role:
 
 Data Analyst
 
 
 
 Location:
 
 Dubai
 
 
 
 
 
 
 About STYLI
 
 
 
 STYLI is an e-commerce brand founded in 2019 by Landmark Group, emerging as one of the largest fashion and beauty platforms in the GCC and India. With a strong focus on trendy, affordable fashion and beauty products, STYLI brings over 40,000 styles to men, women, kids, and beauty enthusiasts, offering them the latest global trends delivered directly to their doorsteps.
 
 
 Our vision is to be the most aspirational value fast fashion and lifestyle destination, delivering seamless service excellence. We aim to create personalized experiences, engaging customers across all touchpoints, and continually expanding our curated selection to meet their evolving need states. STYLI has quickly become a leading player in the e-commerce fashion space across the GCC - Saudi Arabia, UAE, Bahrain, and Kuwait and in India
 
 
 
 
 
 
 About the Role
 
 
 
 We are seeking a Data Analyst who is passionate about using advanced analytics to solve business and product challenges. You will work across teams to build models, forecasts, and optimization tools that drive smarter decision-making and operational efficiency.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Write complex SQL queries to analyze large datasets across product, operations, and customer domains.
 </li>
 <li>
 Build forecasting models for demand, supply, and operational KPIs.
 </li>
 <li>
 Conduct regression and statistical analyses to understand key performance drivers.
 </li>
 <li>
 Support optimization of pricing, promotions, and inventory with analytical models.
 </li>
 <li>
 Create dashboards and reports to enable self-serve analytics across teams.
 </li>
 <li>
 Work closely with business and product stakeholders to deliver actionable insights.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 3&ndash;5 years&rsquo; experience in Data Analytics or a related role.
 </li>
 <li>
 Strong SQL and Excel skills; experience with BI tools (Looker, Tableau, PowerBI).
 </li>
 <li>
 Knowledge of regression, forecasting, and optimization techniques.
 </li>
 <li>
 Exposure to
 
 ML concepts is a must
 
 (e.g., scikit-learn, Python/R).
 </li>
 <li>
 Strong problem-solving skills and business acumen.
 </li>
 </ul>
 
 
</div>

Data Analyst

Dicetek LLC

<div>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, Economics, or a related field.
 </li>
 <li>
 Proven experience (2&ndash;5 years) as a Data Analyst or in a similar analytical role.
 </li>
 <li>
 Strong proficiency in SQL and experience with data visualization tools (Power BI, Tableau, or similar).
 </li>
 <li>
 Advanced Excel skills (pivot tables, VLOOKUP, macros).
 </li>
 <li>
 Familiarity with data modeling, ETL processes, and data warehousing concepts.
 </li>
 <li>
 Hands-on experience with Python or R for data analysis preferred.
 </li>
 <li>
 Understanding of business operations and KPIs.
 </li>
 <li>
 Excellent analytical thinking, communication, and problem-solving skills.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with cloud data platforms such as Snowflake, Databricks, or Azure Synapse.
 </li>
 <li>
 Knowledge of statistical methods, machine learning basics, or forecasting techniques.
 </li>
 <li>
 Exposure to data governance, data quality management, or data security best practices.
 
 
 </li>
 </ul>
 
 Key Tools &amp; Technologies
 
 
 
 <ul>
 <li>
 Databases: SQL Server, Oracle, MySQL
 </li>
 <li>
 BI Tools: Power BI, Tableau, QlikView
 </li>
 <li>
 Programming: Python, R
 </li>
 <li>
 Cloud Platforms: Azure, AWS, GCP (optional)
 </li>
 <li>
 Other: Excel, SharePoint, JIRA, Git
 </li>
 </ul>
</div>

MCG Talent

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

DICETEK LLC

<div><h3 class="jobSectionHeader">Required Skills &amp; Qualifications:</h3><ul><li>
Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, Economics, or a related field.</li><li>
Proven experience (2&ndash;5 years) as a Data Analyst or in a similar analytical role.</li><li>
Strong proficiency in SQL and experience with data visualization tools (Power BI, Tableau, or similar).</li><li>
Advanced Excel skills (pivot tables, VLOOKUP, macros).</li><li>
Familiarity with data modeling, ETL processes, and data warehousing concepts.</li><li>
Hands-on experience with Python or R for data analysis preferred.</li><li>
Understanding of business operations and KPIs.</li><li>
Excellent analytical thinking, communication, and problem-solving skills.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications:</h3><ul><li>
Experience with cloud data platforms such as Snowflake, Databricks, or Azure Synapse.</li><li>
Knowledge of statistical methods, machine learning basics, or forecasting techniques.</li><li>
Exposure to data governance, data quality management, or data security best practices.</li></ul><h3 class="jobSectionHeader">
Key Tools &amp; Technologies:</h3><ul><li>
Databases: SQL Server, Oracle, MySQL</li><li>
BI Tools: Power BI, Tableau, QlikView</li><li>
Programming: Python, R</li><li>
Cloud Platforms: Azure, AWS, GCP (optional)</li><li>
Other: Excel, SharePoint, JIRA, Git</li></ul></div>

Provident Real Estate

<div>
 
 
 Role Overview
 
 
 
 The Data Analyst / Admin will be responsible for ensuring the accuracy, completeness, and seamless flow of lead data across all company platforms. This role acts as the backbone of data integrity by auditing, troubleshooting, and supporting the sales team in managing leads effectively. The position requires strong organizational skills, attention to detail, and the ability to collaborate across departments to optimize workflows.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Lead Processing &amp; Email Management
 
 </li>
 <li>
 Manage and organize incoming emails to ensure all new leads are processed promptly.
 </li>
 <li>
 Maintain systematic documentation of lead sources and statuses.
 </li>
 <li>
 
 Lead Integration &amp; Assignment
 
 </li>
 <li>
 Oversee proper integration of leads from Meta, Google, Email, Property Finder, Bayut, and other sources.
 </li>
 <li>
 Ensure accurate assignment of leads to the correct agents and teams.
 </li>
 <li>
 
 Data Accuracy &amp; Auditing
 
 </li>
 <li>
 Conduct regular audits on CRM data to verify lead accuracy and fill in missing or incomplete details.
 </li>
 <li>
 Monitor data quality and consistency across multiple platforms.
 </li>
 <li>
 
 Agent &amp; Team Support
 
 </li>
 <li>
 Provide troubleshooting and resolution for lead-related issues faced by agents.
 </li>
 <li>
 Collaborate with sales and marketing teams to streamline workflows and improve lead handling processes.
 </li>
 <li>
 
 Operational Flexibility
 
 </li>
 <li>
 Support rotational work schedules depending on business needs.
 </li>
 <li>
 Be available to work on rotational offs and, when required, during holidays.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 Proven experience in data management, administration, or related fields.
 </li>
 <li>
 Prior exposure to real estate or lead management is an advantage.
 </li>
 </ul>
 
 
 Skills
 
 
 <ul>
 <li>
 Strong organizational skills with high attention to detail.
 </li>
 <li>
 Proficiency in CRM systems and lead management platforms.
 </li>
 <li>
 Advanced knowledge of Microsoft Excel / Google Sheets for data analysis.
 </li>
 <li>
 Excellent communication skills for cross-team collaboration.
 </li>
 <li>
 Ability to multitask and work efficiently under pressure.
 </li>
 </ul>
 
 
 Core Competencies
 
 
 <ul>
 <li>
 Analytical and structured approach to problem-solving.
 </li>
 <li>
 Proactive attitude with the ability to identify and resolve data issues quickly.
 </li>
 <li>
 Team-oriented mindset with flexibility to support operational requirements.
 </li>
 </ul>
 
 
</div>

Confidential

<div>
 
 
 
 Experience
 
 :
 
 
 
 
 
 
 Proven experience (4+Yeras) as a Data Analyst/BI Developer, or similar role, preferably in a large-scale organization or within the logistics industry.
 
 
 
 
 
 
 Technical skills and Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Information Technology, Data Science, or a related field.
 </li>
 <li>
 4-7 years of experience in data visualization using Power BI.
 </li>
 <li>
 Strong proficiency in DAX, Power Query, and Power Automate.
 </li>
 <li>
 Excellent analytical skills with the ability to interpret complex data sets.
 </li>
 <li>
 Familiarity with data modeling and visualization best practices.
 </li>
 <li>
 Strong communication skills to collaborate with cross-functional teams.
 </li>
 <li>
 Experience to design Dashboard to be compatible with
 
 Mobile Devices
 
 </li>
 <li>
 Expertise in extracting the data from
 
 REST APIs
 
 to Power BI Visualization Tool
 </li>
 <li>
 Strong knowledge in understanding of Database Concepts and Ability to write
 
 SQL Queries
 
 </li>
 <li>
 Able to Develop Data Models to identify potential opportunities and risks using the data sets
 </li>
 <li>
 Interpret data, analyze results using statistical techniques and provide ongoing trends or patterns and reports.
 </li>
 <li>
 Experience in Python is an added advantage
 </li>
 </ul>
</div>

Business Intelligence Developer

<div>As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting large datasets to solve complex problems and provide actionable insights using Data Lake and Power BI. You will work closely with cross-functional Data &amp; Business teams to leverage data in innovative ways, helping the organization make informed decisions and optimize processes. You will use various charts/graphs and visualization techniquests to present business KPIs using Power BI. Ability to Present your insights in a clear and concise manner to both technical and non-technical stakeholders is important. Ensuring data accuracy and reliability, resolving inconsistencies, and collaborating with teams to improve data processes are crucial. Additionally, staying updated with data analysis techniques and contributing to process improvement and innovation is expected
Desirable Qualification: Bachelor&rsquo;s degree in Computer Science, Information Technology, Data Science, or a related field.
Work Experience: Proven experience (4+Yeras) as a Data Analyst/BI Developer, or similar role, preferably in a large-scale organization or within the logistics industry. 
 
Technical skills required to perform the role:<ul><li>4-7 years of experience in data visualization using Power BI.</li><li>Strong proficiency in DAX, Power Query, and Power Automate.</li><li>Excellent analytical skills with the ability to interpret complex data sets.</li><li>Familiarity with data modeling and visualization best practices.</li><li>Strong communication skills to collaborate with cross-functional teams.</li><li>Experience to design Dashboard to be compatible with Mobile Devices</li><li>Expertise in extracting the data from REST APIs to Power BI Visualization Tool
</li><li>Strong knowledge in understanding of Database Concepts and Ability to write SQL Queries
</li><li>Able to Develop Data Models to identify potential opportunities and risks using the data sets
</li><li>Interpret data, analyze results using statistical techniques and provide ongoing trends or patterns and reports.</li><li>Experience in Python is an added advantage</li></ul></div>

Power BI Developer

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