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conversational bi insights analyst

Power International Holding

<div>
 
 
 Job Summary:
 
 
 
 We are seeking an experienced Conversational BI &amp; Insights Analyst to lead the development, optimization, and governance of enterprise-wide analytics solutions. This strategic role combines technical proficiency, data storytelling, stakeholder engagement, and governance to deliver high-impact insights across multiple industries including healthcare, real estate, hospitality, and construction.
 
 
 The ideal candidate will act as both a builder and a bridge&mdash;transforming complex datasets into actionable insights and aligning business objectives with scalable BI solutions.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design and build advanced dashboards and self-service BI solutions using Power BI, leveraging expert-level knowledge of DAX, M Query (Power Query), and data visualization best practices.
 </li>
 <li>
 Develop optimized data models and create semantic layers tailored to business needs, ensuring performance and scalability.
 </li>
 <li>
 Develop and maintain conversational BI platforms by using OpenAI, by integrating tools like ChatGPT, Power BI, SAP Datasphere, and custom APIs to support real-time natural language querying and automated insights.
 </li>
 <li>
 Build and manage real-time and scheduled data pipelines using SQL and SAP Datasphere.
 </li>
 <li>
 Integrate AI/ML capabilities such as sentiment analysis, anomaly detection, and forecasting into dashboards and reports.
 </li>
 <li>
 Collaborate with business users and stakeholders to understand key metrics, business definitions, and KPIs, ensuring data relevance and accuracy.
 </li>
 <li>
 Drive dashboard governance, including documentation, access control, change tracking, and version management.
 </li>
 <li>
 Lead the user enablement and training programs, promoting BI tool adoption and data literacy across the organization.
 </li>
 <li>
 Contribute to enterprise-wide data governance, quality frameworks, and data architecture initiatives.
 </li>
 <li>
 Translate complex business requirements into actionable insights, combining strong technical delivery with business acumen.
 </li>
 </ul>
 
 
 
 
 
 
 Must-Have Skills:
 
 
 <ul>
 <li>
 Power BI expert (DAX, M, embedded analytics)
 </li>
 <li>
 Strong SQL and data modeling skills, with the ability to work across SAP Datasphere or equivalent enterprise systems.
 </li>
 <li>
 Python for automation &amp; analytics
 </li>
 <li>
 Proven understanding of dashboard UX/UI design principles with a focus on usability, readability, and end-user experience
 </li>
 <li>
 Work with business users to translate frequently asked business questions into natural language queries and map them to the correct dataset.
 </li>
 <li>
 Expertise in visual best practices for BI tools (e.g., layout, color, typography, and chart selection)
 </li>
 <li>
 Ability to optimize dashboards for performance, adoption, and decision-making impact
 </li>
 <li>
 Skilled in translating complex data into intuitive, interactive visual stories
 </li>
 <li>
 Familiarity with human-centered design thinking and applying UX science in data visualization workflows
 </li>
 <li>
 Advanced data modeling, ETL, and multi-source integration
 </li>
 <li>
 Excellent communication &amp; stakeholder management
 </li>
 <li>
 Proven track record in dashboard storytelling &amp; adoption
 </li>
 </ul>
 
 
 
 
 
 
 Preferred Experience:
 
 
 <ul>
 <li>
 Cross-industry exposure (healthcare, hospitality, construction, etc.)
 </li>
 <li>
 Knowledge of SAC, Tableau, Qlik (bonus)
 </li>
 <li>
 BI &amp; Data Analytics certifications (Microsoft Power BI, Google Analytics)
 </li>
 <li>
 Experience deploying AI/NLP solutions in Power BI, Qlik, Tableau, or custom-built BI platforms.
 </li>
 <li>
 Experience working with LLMs (e.g., GPT) and RAG.
 </li>
 </ul>
 
 
</div>

Conversational BI & Insights Analyst

DSQ Qatar

Job Title: Data AnalystJob Description:Gather, arrange, and inspect data metrics of a business using data analytics, data visualization, data modelling techniques and BI technologies to organize and visualize/monitor company data that can be used to drive insights into company operations and trends. Build reports and visualizations that provides insights and statistics of the process. Create new workflow models using power apps for automation process. Ensure creation and modification of existing reports and Dashboards. Aim towards making informed decisions for improving business efficiency, increasing productivity, and driving profits for the business.KEY ACCOUNTABILITIESEnsure that all data models created are with industry standard with proper documentation.Ensure that the data models and the data used for reporting have proper data quality checks and remove anomalies.Define and automate metrics to measure and report dimensions such as accuracy, completeness, timeliness, validity, and consistency.Define and improve processes for managing data along its lifecycle.Automate the data models with no or minimal manual invention.Automate the workflow processCreation of visualization and reports using BI toolsEmpowering business user on the process to be follow for successful automation.Ensure disputes and other process gaps are addressed in a timely mannerEnsure to have through understanding of the process and own end to end implementationReview submissions for accuracy and completeness.Use industry knowledge and data understanding to provide key insights to assigned Business functional areas.Gather report requirements from assigned Business functional areas.Build reports and dashboards for assigned Business functional areas.Apply latest SQL techniques for better performance and query tuning for optimal executionQUALIFICATIONS &amp; EXPERIENCEBachelor&rsquo;s degree in a relevant domain such as Management Information Systems, Information Technology, Informatics or related technical fieldAt least 4 years of experience in data analytics with 2 years in a telecom environmentStrong knowledge / certification of data visualization tools, Microsoft tools managing and querying from Database using SQL and good ETL and Data management skillsVisualization tools expertiseExpert in using BI toolsExpert in using TableauJob Types: Full-time, PermanentPay: QAR6,000.00 - QAR7,000.00 per month

Data Analyst

Shift Group

<div>
 
 
 Role Overview:
 
 The Data Analyst will be at the forefront of data strategy and monetization, responsible for turning data into growth insights that drive business decisions, optimize performance, and unlock new revenue streams.
 
 
 This role blends analytical depth, business intelligence, data engineering, and strategic thinking, ideal for professionals passionate about using data to fuel digital growth and audience value.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Data Analytics &amp; Insights
 
 
 <ul>
 <li>
 Collect, clean, and analyze data from multiple digital sources (web, app, CRM, marketing, and sales systems).
 </li>
 <li>
 Build automated dashboards and reports using tools like Power BI, Tableau, or Google Data Studio to track platform KPIs.
 </li>
 <li>
 Identify user trends, engagement drivers, and conversion patterns across verticals (classifieds, content, properties, jobs, cars, etc.).
 </li>
 <li>
 Generate actionable insights that support leadership decision-making and operational efficiency.
 </li>
 <li>
 Analyze marketing funnel performance and user acquisition metrics to identify growth opportunities.
 </li>
 </ul>
 
 
 
 
 
 Data Engineering &amp; ETL
 
 
 <ul>
 <li>
 Design, build, and maintain robust and scalable ETL pipelines to ingest and process data from a wide variety of sources, including web, app, CRM, marketing, analytics logs, and sales systems.
 </li>
 <li>
 Utilize both off-the-shelf and custom solutions (e.g., Azure Data Factory, custom Python scripts) to collect, transform, clean, and load data into our data warehouse, ensuring data quality, integrity, and accessibility.
 </li>
 <li>
 Develop a consolidated data architecture to support unified reporting, business intelligence, and advanced analytics.
 </li>
 </ul>
 
 
 
 
 
 Machine Learning &amp; Predictive Modeling
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning and predictive models to understand customer behavior, predict churn, and identify growth opportunities.
 </li>
 <li>
 Apply statistical analysis and modeling techniques to build frameworks for measuring user lifetime value, optimizing pricing strategies, and forecasting revenue.
 </li>
 <li>
 Implement A/B testing frameworks and conduct experiments to measure the performance of new features, marketing campaigns, and product changes.
 </li>
 </ul>
 
 
 
 
 
 Customer Data Platform (CDP) &amp; Analytics
 
 
 <ul>
 <li>
 Lead the development and implementation of a Customer Data Platform (CDP) to create a single, unified view of the customer journey.
 </li>
 <li>
 Integrate the CDP with our marketing and sales platforms to enable advanced audience segmentation, personalization, and targeted advertising.
 </li>
 <li>
 Attach machine learning models to the CDP to analyze customer behavior patterns, predict future actions, and deliver actionable insights to the business.
 </li>
 </ul>
 
 
 
 
 
 Monetization &amp; Growth
 
 
 <ul>
 <li>
 Develop data-driven monetization strategies, such as audience segmentation, advertising optimization, and data-based product offerings.
 </li>
 <li>
 Partner with Sales and Marketing teams to enhance campaign targeting, ad performance (CTR, CPC, CPM, ROAS), and audience segmentation, and cross-channel attribution
 </li>
 <li>
 Support pricing strategy and revenue forecasting through predictive analytics and business modeling.
 </li>
 <li>
 Build frameworks to measure subscription and user lifetime value.
 </li>
 </ul>
 
 
 
 
 
 Data Infrastructure &amp; Governance
 
 
 <ul>
 <li>
 Collaborate with Technology teams to ensure accuracy, integrity, and consistency of data across all systems.
 </li>
 <li>
 Establish and maintain clear KPIs, data definitions, and governance standards.
 </li>
 <li>
 Ensure compliance with ethical and legal standards for data usage.
 </li>
 </ul>
 
 
 
 
 
 Cross-Functional Collaboration
 
 
 <ul>
 <li>
 Work with Marketing, Product, and Commercial teams to drive experiments (A/B tests) and measure performance outcomes.
 </li>
 <li>
 Present findings in a visually engaging and business-focused manner for executives and stakeholders.
 </li>
 <li>
 Translate analytical insights into actionable business recommendations.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 
 
 
 <ul>
 <li>
 
 Education:
 
 Bachelor's or Master's degree in Data Science, Business Analytics, Statistics, Computer Science, Economics, or related field.
 </li>
 <li>
 
 Experience:
 
 5&ndash;8 years of experience in data analytics, business intelligence, data engineering, or growth analytics within a digital, e-commerce, or media technology company.
 </li>
 <li>
 
 Technical Skills:
 
 </li>
 <li>
 Strong knowledge of SQL, Python (pandas, numpy, matplotlib, scikit-learn), and BI tools such as Power BI, Tableau, or Google Data Studio.
 </li>
 <li>
 Experience with ETL/ELT tools (e.g., Azure Data Factory, Apache Airflow, or similar).
 </li>
 <li>
 Proficiency in machine learning and predictive modeling techniques for forecasting, customer behavior analysis, and LTV modeling.
 </li>
 <li>
 Experience with data warehousing solutions (e.g., Snowflake, BigQuery, Azure Synapse).
 </li>
 <li>
 Knowledge of Customer Data Platforms (CDP) and customer journey analytics.
 </li>
 <li>
 Experience with Google Analytics 4, BigQuery, or Looker is a plus.
 </li>
 <li>
 
 Business Skills:
 
 Proven track record in using data to enhance business performance, customer acquisition, retention, and monetization.
 </li>
 <li>
 
 Soft Skills:
 
 Strong communication, data storytelling, and cross-functional collaboration. Ability to translate complex data into simple insights.
 </li>
 </ul>
 
 
 
 
 
 Preferred
 
 
 <ul>
 <li>
 Experience in audience segmentation, ad performance analytics, or subscription data modeling.
 </li>
 <li>
 Background in digital media, advertising, or marketplace platforms.
 </li>
 <li>
 Familiarity with data monetization models and creation of data-based products or reports.
 </li>
 <li>
 Hands-on experience implementing CDP solutions (e.g., Segment, mParticle, Adobe CDP, or similar platforms).
 </li>
 <li>
 Experience with cloud platforms (Azure, or GCP) for data infrastructure.
 </li>
 <li>
 Knowledge of A/B testing methodologies and experimentation platforms.
 </li>
 </ul>
</div>

Data Analyst – Business Intelligence

La Maison Hotel Doha

We are looking for an experienced Revenue Analyst to support our growing hotel portfolio across the Middle East and Africa.The ideal candidate is passionate about uncovering trend patterns from diverse data points, translating insights into strategic execution, delivering impactful revenue analysis and presentations, driving pricing &amp; channel optimization and demand forecasting.Key Responsibilities:<ul><li>Strategic Revenue Planning</li><li>Competitive Set Benchmarking</li><li>Rate Strategy &amp; Promotion Management</li><li>Demand Forecasting &amp; Budget Development</li><li>Revenue Dashboards &amp; Insights</li><li>Corporate &amp; Group Business Optimization</li></ul>Must be locally available with valid QID and sponsorship transfer documents.Job Type: Full-time

Revenue Analyst

PROZ TECHNOLOGIES

Job Title: Operations Support LeadLocation: Doha, Qatar Job Type: Full-timeWe are seeking an experienced Operations Support Lead to oversee the daily operations, reliability, and scalability of the TASMU Platform. You will lead a technical operations team, manage incident response, optimize performance, and ensure system availability. This is a leadership role that combines technical excellence with strategic operational management.Key Responsibilities<ul><li>Oversee day-to-day operations and maintenance of the TASMU Platform to ensure high availability and performance.</li><li>Lead and mentor a team of cloud operations and support engineers.</li><li>Manage and optimize cloud infrastructure on Azure and Google Cloud.</li><li>Implement and manage incident, problem, and change management processes (ITIL-based).</li><li>Collaborate with security and compliance teams to maintain data integrity and platform security.</li><li>Conduct capacity planning and ensure scalability for future growth.</li><li>Coordinate with vendors and technology partners for seamless integrations.</li><li>Develop and maintain disaster recovery and business continuity plans.</li><li>Track and manage the operations budget, costs, and forecasts.</li><li>Generate and present performance reports and KPIs using Power BI and Azure Monitor.</li><li>Drive process improvements and automation initiatives to enhance operational efficiency.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, IT, or a related field (Master&rsquo;s preferred).</li><li>Minimum 5 years of experience in technical operations management, preferably in cloud-based environments.</li><li>Hands-on experience with Microsoft Azure and/or Google Cloud Platform (GCP).</li><li>Strong understanding of DevOps principles, Infrastructure as Code (IaC), and cloud cost management.</li><li>Familiarity with monitoring tools such as Azure Monitor, Log Analytics, Application Insights, and Microsoft Sentinel.</li><li>Excellent leadership, communication, and problem-solving skills.</li><li>Certifications such as Azure Solutions Architect Expert, GCP Cloud Architect, or ITIL are preferred.</li></ul>Preferred Tools<ul><li>Monitoring &amp; Observability: Azure Monitor, Log Analytics, KQL, Application Insights, Microsoft Sentinel</li><li>Incident &amp; ITSM: SymphonyAI ITSM or ServiceNow</li><li>Reporting: Power BI, Azure Workbooks, Excel</li><li>Governance &amp; FinOps: Azure Cost Management, Resource Graph, Policy</li></ul>Soft Skills<ul><li>Strategic and analytical thinking</li><li>Strong leadership and mentoring abilities</li><li>Excellent cross-team collaboration</li><li>Business-oriented decision-making</li><li>Commitment to continuous learning and innovation</li></ul>Job Types: Full-time, PermanentPay: Up to QAR20,000.00 per month

Operations Support Lead

Hamad International Airport

<div>
 
 
 
 About the role:
 
 
 
 
 Hamad International Airport is seeking a highly skilled and creative individual to join our team as
 
 Manager Research and Insights
 
 . If you thrive turning data direction, lead insights that&rsquo;s shape the future and can help us to achieve this ambition by:
 
 
 
 
 <ul>
 <li>
 Leading the marketing and communications insights function at HIA, supporting both B2C and B2B audiences. The role delivers integrated research, KPI frameworks, and performance intelligence across Brand, Communications, Events, and Sponsorships.
 </li>
 <li>
 Defines and evolves insight strategies, oversees multi-method research programmes, and drives weekly, monthly, and quarterly reporting to enable data-driven decision-making.
 </li>
 <li>
 Collaborates cross-functionally with internal teams, Qatar Airways Group, and its subsidiaries to align methodologies, ensure data integrity, and embed insights into strategic planning.
 </li>
 <li>
 Define the research and insights strategy by identifying priorities, stakeholder needs, and KPIs to embed data-driven planning across Marketing and Communications.
 </li>
 <li>
 Develop and implement the annual insights roadmap aligned with HIA&rsquo;s global positioning and strategic objectives across B2C and B2B audiences.
 </li>
 <li>
 Define, iterate, and govern brand and communications KPIs to ensure relevance, alignment, and impact across all Marketing and Communications functions.
 </li>
 <li>
 Embed AI-driven tools and predictive analytics, such as forecasting models, persona clustering, and market trend detection, into insight strategy to enhance agility and foresight.
 </li>
 <li>
 Benchmark HIA&rsquo;s brand and stakeholder positioning against leading regional and international peers to identify global best practices and inform differentiation strategies.
 </li>
 </ul>
 
 
 
 
 
 About you:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a relevant field such as Business, Statistics, Research, Data Science, or Marketing or Equivalent with Minimum 8 years of job-related experience.
 </li>
 <li>
 Proven track record of leading research and insights in marketing, communications, or customer-facing industries.
 </li>
 <li>
 Expertise in managing end-to-end research programmes (qual and quant)
 </li>
 <li>
 Advanced project and vendor management capabilities.
 </li>
 <li>
 Proficiency with tools such as Tableau, Power BI, SPSS, and Qualtrics.
 </li>
 </ul>
 
 
</div>

Manager Research and Insights

Qatar Insurance Group

<div>
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Management &amp; Executive Reporting: Prepare financial reports highlighting key performance indicators (KPIs) such as premiums, claims ratios, loss ratios, and profitability metrics. Present findings and recommendations to senior management in a clear and concise manner. &bull;
 </li>
 <li>
 Pricing Product Profitability Support: Collaborate with the pricing and actuarial teams to evaluate and refine pricing strategies for new or existing products. Conduct financial modelling and profitability analysis for new and existing products, ensuring pricing is competitive yet sustainable. Provide data-driven recommendations on premium rates and product pricing based on claims experience and market trends.
 </li>
 <li>
 Claims &amp; loss Analysis: Analyze claims data to identify trends, cost drivers, and anomalies. Track claims frequency, severity, and cost inflation to assess their impact on financial results.
 </li>
 <li>
 Reinsurance &amp; Capital Management: Assess the financial impact of reinsurance structures (quota share, surplus, XL) on net results and capital position.
 </li>
 <li>
 Strategic Financial Insights: Support in strategic planning by providing scenario analysis and financial impact assessments. Evaluate the financial viability of new initiatives (e.g. launching a new insurance product, entering a new market segment, or adjusting policy terms) through detailed analysis and forecasting.
 </li>
 <li>
 Cross-Functional Collaboration: Partner with cross-functional teams &mdash; including Underwriting, Actuarial and finance &mdash; to align financial analysis with business strategies.
 </li>
 <li>
 Ad-hoc Analysis: Provide ad-hoc financial analysis and reporting as requested. This could include deep dives into specific cost centers, evaluating the impact of regulatory changes, or analyzing competitive financial data in the market to guide decision-making.
 </li>
 <li>
 Must liaise with actuarial, underwriting, reinsurance, risk, and finance teams to deliver timely insights that underpin profitable growth and capital efficiency in line with global best practice and the evolving regulatory landscape
 
 (QCB, Solvency II, IFRS 17)
 
 .
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Education: Bachelor&rsquo;s degree in finance, Accounting, Economics, Actuarial Science, or related discipline.
 </li>
 <li>
 Experience: 3&ndash;5 years of relevant experience in financial analysis or planning, with prior experience in the general insurance (required).
 </li>
 <li>
 
 Technical Expertise: Solid understanding of insurance industry finance and terminology. Strong grasp of insurance financial statements, key ratios (combined, loss, expense), and solvency concepts; proficiency in IFRS-17 fundamentals.
 
 </li>
 <li>
 
 Analytical Proficiency: Advanced Excel (modelling, pivot tables, Power Query) and solid SQL or equivalent data-wrangling capability, power BI tools.
 
 </li>
 <li>
 Communication: Effective communication and presentation skills. Able to translate financial analysis and technical details into business insights and clearly convey recommendations to non-financial stakeholders, including senior management.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Master&rsquo;s degree (MBA/Finance) or professional designation (CFA, CPA, CII, or actuarial exams in progress).
 </li>
 <li>
 Exposure to global insurance markets (e.g., Lloyd&rsquo;s, European, Asian, or North American) and familiarity with rating-agency frameworks (AM Best, S&amp;P).
 </li>
 <li>
 Experience with business-intelligence tools (Power BI, Tableau) and cloud-based data platforms.
 </li>
 <li>
 Working knowledge of Solvency II, Bermuda Solvency Capital Requirement, or equivalent regimes.
 </li>
 <li>
 Fluency in English required; Arabic is advantageous
 </li>
 </ul>
 
 
</div>

Financial Analyst (General Insurance)

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