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conversational bi & insights analyst

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data analyst – business intelligence

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

Agoda

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 
 THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED)
 
 
 Location: Bangkok, Thailand (*Not open for remote work)
 
 
 
 
 Get to Know our Team:
 
 
 
 As part of the Supply Analytics, you will be responsible for identifying new partners and opportunities, cultivating a relationship with them, and working together with them to deliver the best outcome for our end customers. You would also be responsible with managing the day-to-day interaction with the partner and working closely with other teams within Agoda to ensure the partners needs are met.
 
 
 We design tailored business and product solutions with our partners and help them generate measurable value. Members of our team are empowered and supported to grow their market(s) or accounts. We develop win-win relationships and leverage Agoda&rsquo;s unique accommodations portfolio and tech solutions to bring our partners the advantages they seek. Utilizing our strong brand and resources, we build new channels to increase the visibility of Agoda, introduce more travelers to our great products and service and deliver significant revenues to the overall business.
 
 
 
 The Opportunity:
 
 
 
 As a BI Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.
 
 
 
 In this Role, you&rsquo;ll get to
 
 :
 
 
 <ul>
 <li>
 Translate internal briefs into analytical projects (to include refining the initial brief and asking the &lsquo;right questions&rsquo;, working through potential hypotheses and storyboarding the output)
 </li>
 <li>
 Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
 </li>
 <li>
 Proactively identify opportunities for growth within supply and the wider business.
 </li>
 <li>
 Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
 </li>
 <li>
 Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
 </li>
 <li>
 Automate manual operational processes and present back on time savings gained through modernization of business operations
 
 
 </li>
 </ul>
 
 What you&rsquo;ll Need to Succeed
 
 :
 
 
 <ul>
 <li>
 At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI
 </li>
 <li>
 Advanced working knowledge and hands-on experience in SQL
 </li>
 <li>
 Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably)
 </li>
 <li>
 Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R)
 </li>
 <li>
 Bachelor&rsquo;s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.)
 </li>
 <li>
 Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
 </li>
 <li>
 Experience in conducting A/B testing experimentation
 </li>
 <li>
 Strong experience in finding data insights and provide business recommendation to the business
 </li>
 <li>
 A hacker&rsquo;s mindset &ndash; the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
 </li>
 <li>
 Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
 </li>
 <li>
 Data driven in both decision making and performance measurement.
 </li>
 <li>
 Extreme comfort in ambiguous, fast-paced environment.
 </li>
 <li>
 Ability to multi-task, prioritize and coordinate resources.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if you Have:
 
 
 
 <ul>
 <li>
 MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
 </li>
 <li>
 Asian market experience.
 </li>
 <li>
 Travel industry / e-commerce / tech / consulting experience.
 
 
 </li>
 </ul>
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 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
</div>

BI Analyst (Supply Analytics, Bangkok-based, Relocation provided)

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

Uniqus Consultech Inc.

<div>
 
 We at Uniqus Consultech are hiring for Data &amp; Analytics role.
 
 
 
 
 
 
 Location
 
 - Doha
 
 
 
 
 
 
 Level
 
 - Associate Director
 
 
 
 
 
 
 About Uniqus
 
 
 
 
 
 
 Uniqus is a tech-enabled global platform that offers ESG and Accounting &amp; Reporting Consulting by leveraging high-performing global talent.
 
 
 We exclusively focus on two businesses. Our investments are accordingly fully allocated to these areas. This gives us the ability to be at the cutting edge of developments in the ESG &amp; ARC space and recognize talent in this space.
 
 
 
 
 
 
 Role &amp; Responsibilities
 
 
 
 Uniqus is seeking senior professionals in Data &amp; Analytics to join Uniqus&rsquo; Technology Consulting team. You will play a crucial role as a Solution Architect/SME and work with a team of highly skilled technical professionals at offshore to drive the development and delivery of Data and Analytics solutions. Your primary technical responsibility will be to oversee the design, implementation, and maintenance of data analytics systems, ensuring they meet the timelines, cost and service quality of implementation.
 
 
 The candidate must be experienced in implementing (on-premise/Cloud) data warehousing solutions, integrating various data sources, and utilizing visualization tools to provide actionable insights. Key technology experience required in related solutions in Microsoft stack &ndash; Azure, Databricks, Data Pipelines, Power BI, etc. This role demands a strong understanding of cloud platforms, data management, and analytics to support our data-driven initiatives.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 
 
 
 Data Warehousing:
 
 
 
 <ul>
 <li>
 Develop and maintain data warehouses that consolidate data from multiple sources.
 </li>
 <li>
 Optimize data storage and retrieval processes to enhance performance and scalability.
 </li>
 <li>
 Implement ETL (Extract, Transform, Load) processes to ensure data accuracy and integrity.
 </li>
 </ul>
 
 
 
 
 
 
 Data Integration:
 
 
 
 <ul>
 <li>
 Integrate disparate data sources, including databases, APIs, and third-party services.
 </li>
 <li>
 Design and develop data pipelines to automate data collection and integration.
 </li>
 <li>
 Monitor and troubleshoot data integration workflows to ensure reliability and performance.
 </li>
 </ul>
 
 
 
 
 
 
 Visualization &amp; Reporting
 
 :
 
 
 <ul>
 <li>
 Utilize visualization tools such as Tableau, Power BI, or Looker to create dashboards and reports.
 </li>
 <li>
 Translate complex data sets into clear and actionable insights for stakeholders.
 </li>
 <li>
 Collaborate with business units to understand data visualization needs and deliver solutions.
 </li>
 </ul>
 
 
 
 
 
 
 Collaboration &amp; Communication:
 
 
 
 <ul>
 <li>
 Work closely with data engineers, analysts, and business stakeholders to understand requirements and deliver solutions.
 </li>
 <li>
 Document processes, data flows, and technical specifications for reference and training.
 </li>
 <li>
 Communicate project status, progress, and issues to management and stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Education:
 
 
 <ol>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Engineering, or related field
 </li>
 <li>
 Proven experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
 </li>
 <li>
 Experience in using visualization tools like Tableau, Power BI, or Looker.
 </li>
 <li>
 Preferred knowledge of machine learning and AI
 </li>
 </ol>
 
 
 
 
 
 Experience:
 
 
 <ol>
 <li>
 Experience in cloud data management, data warehousing, and data integration in Microsoft data and analytics stack
 </li>
 <li>
 
 Should be currently working with a Big 4
 
 </li>
 </ol>
 
 
 
 
 
 Technical Skills:
 
 
 <ol>
 <li>
 Proficiency in SQL and experience with database management systems.
 </li>
 <li>
 Strong knowledge of ETL processes and data pipeline development.
 </li>
 <li>
 Familiarity with programming languages such as Python, Java, or Scala.
 </li>
 <li>
 Understanding of data modelling, data architecture, and data governance principles.
 </li>
 <li>
 Should have
 
 Go to Market experience.
 
 </li>
 </ol>
 
 
</div>

Associate Director - Data Analytics

Explore 279+ Conversational bi insights analyst in Doha Qatar Cambridge Curriculum Jobs In Doha Qatar this November. Find roles across top companies and apply now to boost your career.