business analyst

data analyst

data engineer

senior data analyst

senior data engineer

data analytics developer

DICETEK LLC

<div><h3 class="jobSectionHeader">Role Overview:</h3>
We are looking for a skilled Power BI Developer with strong experience in Banking, Finance, and Regulatory Reporting. The ideal candidate will be responsible for designing, developing, and maintaining interactive dashboards and analytical reports to support financial and regulatory compliance functions.<h3 class="jobSectionHeader"> 
Key Responsibilities:</h3><ul><li>
Design and develop Power BI dashboards and reports for financial and regulatory reporting.</li><li>
Collaborate with Finance, Risk, and IT teams to understand reporting requirements and translate them into visual analytics.</li><li>
Gather, clean, and transform data from multiple banking and financial systems.</li><li>
Develop data models and DAX queries to support accurate and efficient reporting.</li><li>
Ensure data integrity and compliance with regulatory reporting standards (e.g., CBUAE, Basel III, IFRS9).</li><li>
Optimize existing Power BI solutions for performance and scalability.</li><li>
Automate and streamline manual reporting processes using Power BI and related tools.</li><li>
Support data validation, documentation, and user training.</li></ul><h3 class="jobSectionHeader">
Requirements:</h3><ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, Finance, or related field.</li><li>
Minimum 4 years of experience as a Power BI Developer in the Banking or Financial Services domain.</li><li>
Strong understanding of financial reporting and regulatory compliance (CBUAE, Basel III, IFRS9, etc.).</li><li>
Proficiency in Power BI, DAX, Power Query, and SQL.</li><li>
Experience with data modeling, ETL processes, and relational databases.</li><li>
Excellent analytical, communication, and problem-solving skills.</li></ul><h3 class="jobSectionHeader">
Preferred Skills:</h3><ul><li>
Familiarity with Axiom, Moody&rsquo;s, Oracle Financials, SAP, or other reporting tools.</li><li>
Exposure to data governance and business intelligence best practices.</li><li>
Knowledge of Azure Data Services (Data Factory, Synapse, SQL Database) is an advantage.</li></ul></div>

Power BI Developer – Banking & Regulatory Reporting (Finance Domain)

Glow Beauty On Demand

Job Title Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE Job Description Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE Role Summary MetLife Gulf is seeking a talented Data Scientist to join its Data Analytics team, driving innovation and business transformation through advanced analytics and AI solutions. This role is central to MetLife s data-first strategy, helping shape predictive models, optimize decision-making, and elevate customer experience across insurance and financial services. Employment Overview Job Location: Dubai, UAE Industry: Insurance Function: Data Science / Analytics Gender: Any Candidate Nationality: Any Job Type: Full-time (Hybrid) What You ll Do * Lead the design and execution of advanced data science projects, including predictive modeling, AI, and machine learning initiatives * Build and deploy data pipelines, backend models, and scalable analytics solutions * Collaborate with stakeholders to align data projects with strategic objectives * Develop visually impactful dashboards and reports using Power BI * Perform data mining, feature engineering, and statistical analysis for actionable insights * Integrate advanced analytics solutions across business units for pricing, claims, and sales optimization * Mentor and coach team members to enhance analytics and AI capabilities * Drive continuous innovation through experimentation with emerging technologies * Ensure data governance, model validation, and compliance with organizational standards Ideal Profile * Master s degree preferred; Bachelor s in Data Science, Computer Science, or related field * 3+ years of experience in machine learning, deep learning, and predictive analytics * Strong programming skills in Python or R and experience building data pipelines * Expertise in NLP, hypothesis testing, and conceptual modeling * Proficiency in Power BI and knowledge of Alteryx or similar visualization tools * Familiarity with Microsoft Azure or cloud-based environments * Strong storytelling and data visualization skills for non-technical audiences * Business acumen with ability to translate insights into impactful business strategies

Data Scientist - Advanced Analytics & AI Solutions Dubai UAE

Job Title Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE Job Description Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE Role Summary MetLife Gulf is seeking a talented Data Scientist to join its Data Analytics team, driving innovation and business transformation through advanced analytics and AI solutions. This role is central to MetLife s data-first strategy, helping shape predictive models, optimize decision-making, and elevate customer experience across insurance and financial services. Employment Overview Job Location: Dubai, UAE Industry: Insurance Function: Data Science / Analytics Gender: Any Candidate Nationality: Any Job Type: Full-time (Hybrid) What You ll Do * Lead the design and execution of advanced data science projects, including predictive modeling, AI, and machine learning initiatives * Build and deploy data pipelines, backend models, and scalable analytics solutions * Collaborate with stakeholders to align data projects with strategic objectives * Develop visually impactful dashboards and reports using Power BI * Perform data mining, feature engineering, and statistical analysis for actionable insights * Integrate advanced analytics solutions across business units for pricing, claims, and sales optimization * Mentor and coach team members to enhance analytics and AI capabilities * Drive continuous innovation through experimentation with emerging technologies * Ensure data governance, model validation, and compliance with organizational standards Ideal Profile * Master s degree preferred; Bachelor s in Data Science, Computer Science, or related field * 3+ years of experience in machine learning, deep learning, and predictive analytics * Strong programming skills in Python or R and experience building data pipelines * Expertise in NLP, hypothesis testing, and conceptual modeling * Proficiency in Power BI and knowledge of Alteryx or similar visualization tools * Familiarity with Microsoft Azure or cloud-based environments * Strong storytelling and data visualization skills for non-technical audiences * Business acumen with ability to translate insights into impactful business strategies

Data Scientist - Advanced Analytics & AI Solutions

Splash Software

<div>About the Role
We are seeking a highly motivated Data Scientist with extensive experience in Online Gaming Industry to join our team and drive data-driven decision-making through advanced analytics and machine learning models. The ideal candidate will have a strong technical background, a passion for uncovering insights from complex datasets, and the ability to collaborate with cross-functional teams to solve business challenges.
Key Responsibilities
<ul><li>Design and implement machine learning models to predict trends, detect anomalies, and uncover actionable insights.
</li><li>Analyze structured and unstructured datasets to identify patterns and opportunities for optimization.
</li><li>Develop predictive models and algorithms for key business use cases, such as risk management, forecasting, and segmentation.
 </li><li>Collaborate with data engineers and analysts to ensure data readiness for analysis and model deployment.
 </li><li>Use statistical techniques to validate hypotheses, assess model performance, and improve decision-making processes.
 </li><li>Create and present data-driven insights and recommendations to stakeholders in a clear and compelling manner.
 </li><li>Deploy, monitor, and refine models in production environments to ensure scalability and reliability.
 </li><li>Stay updated on the latest advancements in data science and machine learning, incorporating best practices into projects.
</li></ul>Qualifications
<ul><li>Masters degree in Mathematics or Statistics.
</li><li>Proven experience as a Senior Data Scientist, with expertise in building and deploying machine learning models.
</li><li>Proficiency in Python or R, with experience in data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li><li>Strong knowledge of statistical methods, data modeling, and hypothesis testing.
</li><li>Experience working with large-scale data in environments such as Elasticsearch or SQL databases.
</li><li>Familiarity with data visualization tools (e.g., Kibana, Tableau, or Matplotlib) for presenting insights.
 </li><li>Excellent problem-solving and analytical skills with attention to detail.
</li><li> Strong communication skills, with the ability to translate complex data findings into actionable insights for non-technical stakeholders.
</li><li>Experience in the Online Gaming Industry is a Must.
</li></ul>Preferred Skills
<ul><li>Hands-on experience with anomaly detection and forecasting models.
</li><li>Knowledge of big data tools and frameworks (e.g., Hadoop, Spark).
</li><li> Familiarity with MLOps practices and tools for deploying and managing machine learning models in production.
 </li><li>Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for data science workflows.
 </li><li>Understanding of Elasticsearchs machine learning capabilities is a plus.</li></ul></div>

Data Scientist- Online Gaming Experience

Delivery Hero

What s On Your Plate?<ul><li>Leveraging ambiguous business problems as opportunities to drive objective criteria using data.</li><li>Developing a deep understanding of the product experiences and business processes that make up your area of focus.</li><li>Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.</li><li>Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.</li><li>Working closely with product and business teams to identify important questions that can be answered effectively with data.</li><li>Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision making through deep analysis and automated reports.</li><li>Designing, planning and analyzing experiments (A/B and multivariate tests).</li><li>Supporting product and business managers with KPI design and goal setting.</li><li>Mentoring other data scientists in their growth journeys.</li><li>Contributing to improving our ways of work, our tooling, and our internal training programs.</li></ul>What Did We Order? Technical Experience<ul><li>Excellent SQL.</li><li>Competence with reproducible data analysis using Python or R.</li><li>Familiarity with data modeling and dimensional design.</li><li>Strong command over the entire data analysis lifecycle including; problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.</li><li>Familiarity with different types of analysis including; descriptive, exploratory, inferential, causal, and predictive analysis.</li><li>Deep understanding of the various experiment design and analysis workflows and the corresponding statistical techniques.</li><li>Familiarity with product data (impressions, events, ..) and product health measurement (conversion, engagement, retention, ..).</li><li>Familiarity with BigQuery and the Google Cloud Platform is a plus.</li><li>Data engineering and data pipeline development experience (e.g. via Airflow) is a plus.</li><li>Experience with classical ML frameworks (e.g. Scikit-learn, XGBoost, LightGBM, ...) is a plus.</li></ul>

Product Data Scientist II

BlackStone eIT

BlackStone eIT is seeking an innovative and dedicated Apache Superset Developer to join our team. In this role, you will be responsible for implementing and maintaining data visualization solutions using Apache Superset. You will work closely with data engineers, analysts, and stakeholders to understand data requirements and provide insights through effective dashboards and visualizations. If you are passionate about data analytics and have expertise in using Apache Superset, we want to hear from you! Responsibilities <ul> <li>Design, develop, and maintain interactive dashboards and visualizations using Apache Superset.</li> <li>Collaborate with stakeholders to gather data requirements and deliver analytics solutions that meet business needs.</li> <li>Integrate Apache Superset with various data sources and ensure data accuracy and integrity.</li> <li>Optimize performance of dashboards and ensure optimal user experience.</li> <li>Troubleshoot and resolve issues related to data visualization tools and underlying data sources.</li> <li>Provide training and support to users in navigating and utilizing reports and dashboards.</li> <li>Stay current with advancements in data visualization technologies and methodologies.</li> </ul>

Apache Superset Developer

Client of Ladwig Consulting

Responsibilities:<ul><li>Build and maintain structured datasets of price, volume, and position data.</li><li>Run strategy backtests in coordination with the Algo Developer.</li><li>Develop dashboards for tracking trade performance (ROI, drawdown, Sharpe ratio, win rate, etc.).</li><li>Conduct detailed post-trade analysis and generate weekly insights reports.</li><li>Support data automation and visualization pipelines (Power BI / Streamlit / Dash).</li></ul>Requirements<ul><li>Strong experience with Python (pandas, NumPy) and SQL.</li><li>Understanding of backtesting frameworks or strategy simulation.</li><li>Strong analytical and visualization capabilities.</li><li>Experience in trading, quantitative research, or financial analytics preferred.</li></ul>Benefits<ul><li>Opportunity to work in a dynamic environment.</li><li>Be part of a high-performing team.</li><li>Competitive salary with excellent growth opportunities.</li></ul>

Data Analyst (Trading Metrics & Backtesting Support)

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