sales manager

business development manager Jobs in Qatar

business development manager

business analyst (supply analytics, bangkok-based, relocation provided) Jobs in Qatar

business analyst (supply analytics, bangkok-based, relocation provided)

business development/partnerships associate Jobs in Qatar

business development/partnerships associate

sales admin

sr business analyst analytics

QatarEnergy

<div>
 
 Primary Purpose Of The Job
 
 
 
 We are seeking a highly skilled AI/BI Engineer with a strong background in machine learning, AI, and business intelligence. The ideal candidate will be responsible for designing and deploying scalable AI and ML solutions that supports informed decision-making across the organization.
 
 
 You will build and integrate AI-powered applications, particularly those leveraging large language models (LLMs), developing interactive dashboards, integrating LLMs into BI platforms and predictive models to enhance business insights and improve user experience.
 
 
 
 Required Experience And Skills
 
 
 
 <ul>
 <li>
 Minimum 8 years of experience in Data Science, AI Engineering, advanced analytics, or related roles; Oil and Gas industry experience is a plus.
 </li>
 <li>
 Experience in developing AI solutions using cloud platforms such as Microsoft Azure, AWS, or GCP, and tools like AI Foundry, Copilot Studio, Vertex AI Studio, and Databricks Mosaic AI.
 </li>
 <li>
 Design and deploy AI/ML models and LLM-powered applications to support business use cases and enhance decision-making.
 </li>
 <li>
 Integrate AI/ML models and LLM capabilities into BI platforms to enable natural language querying, automated insights, and conversational analytics.
 </li>
 <li>
 Evaluate and optimize LLM-generated responses to ensure accuracy and relevance.
 </li>
 <li>
 Deep understanding of AI/ML algorithms, LLMs, and modern AI architectures.
 </li>
 <li>
 Proficiency in Python, SQL and AI/ML frameworks such as Hugging Face, LangChain, scikit-learn, TensorFlow, PyTorch and Semantic Kernel etc.
 </li>
 <li>
 Develop compelling data visualizations and dashboards to support storytelling and real-time insights.
 </li>
 <li>
 Ensure compliance with data governance, model explainability, and ethical AI practices, including data lineage, access control, and sensitivity labeling.
 </li>
 <li>
 Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML workflows.
 </li>
 <li>
 Excellent communication skills, with an ability to effectively interact with business stakeholders and articulate complex technical concepts in a clear and understandable manner.
 
 
 </li>
 </ul>
 
 Educational Qualifications
 
 
 
 A bachelor&rsquo;s degree in computer science, Data Science, Artificial Intelligence, or a related field.
 
 
 Master&rsquo;s degree preferred, especially with a focus on AI or Machine Learning
</div>

SR. BUSINESS ANALYST (ANALYTICS)

<div>Primary Purpose of the Job:

We are seeking a highly skilled AI/BI Engineer with a strong background in machine learning, AI, and business intelligence. The ideal candidate will be responsible for designing and deploying scalable AI and ML solutions that supports informed decision-making across the organization. 
You will build and integrate AI-powered applications, particularly those leveraging large language models (LLMs), developing interactive dashboards, integrating LLMs into BI platforms and predictive models to enhance business insights and improve user experience.
Required Experience and Skills: 
<ul><li>
Minimum 8 years of experience in Data Science, AI Engineering, advanced analytics, or related roles; Oil and Gas industry experience is a plus.</li><li>
Experience in developing AI solutions using cloud platforms such as Microsoft Azure, AWS, or GCP, and tools like AI Foundry, Copilot Studio, Vertex AI Studio, and Databricks Mosaic AI.</li><li>
Design and deploy AI/ML models and LLM-powered applications to support business use cases and enhance decision-making.</li><li>
Integrate AI/ML models and LLM capabilities into BI platforms to enable natural language querying, automated insights, and conversational analytics.</li><li>
Evaluate and optimize LLM-generated responses to ensure accuracy and relevance.</li><li>
Deep understanding of AI/ML algorithms, LLMs, and modern AI architectures.</li><li>
Proficiency in Python, SQL and AI/ML frameworks such as Hugging Face, LangChain, scikit-learn, TensorFlow, PyTorch and Semantic Kernel etc.</li><li>
Develop compelling data visualizations and dashboards to support storytelling and real-time insights.</li><li>
Ensure compliance with data governance, model explainability, and ethical AI practices, including data lineage, access control, and sensitivity labeling.</li><li>
Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML workflows.</li><li>
Excellent communication skills, with an ability to effectively interact with business stakeholders and articulate complex technical concepts in a clear and understandable manner.</li></ul>
Educational Qualifications:

A bachelor&rsquo;s degree in computer science, Data Science, Artificial Intelligence, or a related field.
Master&rsquo;s degree preferred, especially with a focus on AI or Machine Learning</div>

COZMALABS

We are looking for a results-driven Senior Business Analyst to lead complex requirement analysis, drive process optimization, and translate strategic objectives into scalable business and technology solutions. This role partners closely with senior stakeholders to deliver measurable business value across cross-functional initiatives.Key Responsibilities<ul><li>Lead collaboration with executive and operational stakeholders to elicit, validate, and prioritize complex business requirements.</li><li>Analyze end-to-end business processes to identify optimization opportunities, automation initiatives, and measurable value creation.</li><li>Translate strategic business objectives into detailed functional and technical specifications for development and delivery teams.</li><li>Own and govern core documentation, including business requirements documents (BRDs), functional specifications, use cases, and process/workflow models.</li><li>Conduct market, industry, and competitor analysis to inform solution design and strategic decision-making.</li><li>Partner with project managers to support project planning, estimation, risk management, and delivery tracking.</li><li>Guide and support testing, user acceptance, implementation, and change management activities.</li><li>Monitor post-implementation performance and benefits realization, ensuring solutions align with business goals and KPIs.</li><li>Present insights, recommendations, and data-driven narratives to senior leadership and cross-functional teams.</li><li>Mentor junior business analysts and contribute to the continuous improvement of BA practices and standards.</li></ul>Requirements &ndash; Education &amp; Experience<ul><li>Bachelor&rsquo;s degree in Business Administration, Information Systems, Finance, or a related discipline (Master&rsquo;s degree preferred).</li><li>5&ndash;10+ years of progressive experience as a Business Analyst or in a comparable role.</li><li>Proven experience leading large-scale, cross-functional initiatives.</li><li>Strong background in data analysis, business intelligence, process modeling, and enterprise systems.</li></ul>Skills &amp; Competencies<ul><li>Advanced analytical, critical-thinking, and problem-solving capabilities.</li><li>Strong proficiency with tools such as Excel, SQL, Tableau, Power BI, or equivalent analytics platforms.</li><li>Deep understanding of Agile, Waterfall, and hybrid delivery methodologies.</li><li>Excellent stakeholder management, facilitation, and negotiation skills.</li><li>Exceptional written and verbal communication, with the ability to influence senior leadership.</li><li>Ability to manage multiple priorities, drive outcomes independently, and operate effectively in fast-paced environments.</li></ul>Job Type: Full-time

Senior BA

<div>
 
 Primary Purpose Of The Job
 
 
 
 
 Sr. Treasury Analyst (Back Office)
 
 
 
 Primarily responsible for the overall Treasury Back Office Operations, Treasury Reporting and secure payments/settlements of Treasury financings/deals for Group 1 of the companies. In addition, also act as a primary focal point for Internal Audit, External Audit, State Bureau Audit for Group 1 companies.
 
 
 <ul>
 <li>
 Supervise cash/inter-bank transfers, Treasury fundings/deals settlements function to ensure that all payment/settlement requests for QatarEnergy Group are planned, properly approved, and timely executed based on authorized payment requests, and also to ensure all governance are complied.
 </li>
 <li>
 Supervise the payment flows for Treasury Instruments (Assets and Liabilities) like cash, loans &amp; investments, borrowings, to ensure that QatarEnergy&rsquo;s financial statement reporting is compliance with IFRS Standards and accurate. Ensures that all compliance, payment, and administration requirements in relation to bonds, swaps and other loan derivative instruments are met in order to mitigate the risk of default under loan and derivative contracts.
 </li>
 <li>
 Supervise Treasury Back Office Operations including Bank Statement uploading into SAP, provide information to support clearing of outstanding items and dashboard KPIs reporting to ensure within the agreed turnaround time.
 </li>
 <li>
 Supervise and monitor the regular upkeep and maintenance of Bank and Treasury related General Ledger master data in SAP whenever there is new set-up of companies, banking relationship, counterparties, within QEIL Group, SPVs under QatarEnergy
 </li>
 <li>
 Review and reports on the performance of QatarEnergy&rsquo;s Investment (Equity/Debt) portfolio listed in the Exchange locally or abroad.
 </li>
 <li>
 Ensures that all compliance requirements for Group Treasury banking transactions, investments, based on QatarEnergy's approved policies and procedures, are met through the implementation of controls and reporting.
 </li>
 <li>
 Coordinates the business continuity for Group Treasury to avoid losses arising from non-continuation due to SAP system down, unforeseen natural disasters, and attacks. Develop appropriate processes and coordinate between various QatarEnergy business process owners and QatarEnergy JV&rsquo;s / subsidiaries to identify, monitor, report and mitigate these risks impacting QatarEnergy&rsquo;s reputation.
 </li>
 <li>
 Leads and act as the focal point for Treasury periodical/annual audit reviews and requirements from Internal Audit, External Audit, State Bureau Audit and Quality Audit.
 
 
 </li>
 </ul>
 
 Required Experience And Skills
 
 
 
 <ul>
 <li>
 At least 10-15 years of experience in medium to large organization with adequate exposure to accounting &amp; finance functions. Previous experience in similar capacity in an oil and gas industry would be an advantage
 </li>
 <li>
 Knowledge of systems in a computerized business environment which includes knowledge and experience in MS PowerBI, MS Office packages, SAP TRM or similar advanced ERP systems.
 </li>
 <li>
 Excellent people management, leadership, and coaching skills.
 
 
 </li>
 </ul>
 
 Educational Qualifications
 
 
 
 Bachelors in Finance/Commerce / Business / Accounting and/or globally accepted professional qualifications like a Certified Public Accountant / Chartered Accountant / Cost &amp; Management Accountant etc
</div>

SR. ACCOUNTANT (BACK OFFICE)

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

Snoonu

<div>
 
 🚀 Welcome to Your Next Adventure!
 
 
 
 We're seeking a Business Intelligence Sr. Manager to lead our data strategy and analytics function. This senior role will build and lead a team responsible for analytics, predictive modeling, FP&amp;A, strategic planning, reporting, and insight generation for our commercial teams. You'll transform data into actionable intelligence that drives our marketplace growth.
 
 
 
 🛠 What You&rsquo;ll Get Your Hands On
 
 
 
 <ul>
 <li>
 Strategic Leadership
 </li>
 <li>
 Develop and execute BI strategy aligned with Snoonu's growth objectives
 </li>
 <li>
 Partner with executives to drive data-driven decision making
 </li>
 <li>
 Define and track enterprise KPIs and strategic metrics
 </li>
 <li>
 Team &amp; Analytics Management
 </li>
 <li>
 Be hands on and lead from the front - you will be on the tools in this role showing your team how it is done.
 </li>
 <li>
 Build and lead team of analysts, data scientists, and BI engineers
 </li>
 <li>
 Oversee predictive modeling for demand forecasting, pricing, and customer behavior
 </li>
 <li>
 Establish experimentation frameworks and A/B testing capabilities
 </li>
 <li>
 FP&amp;A &amp; Strategic Planning
 </li>
 <li>
 Lead financial modeling, budgeting, and forecasting processes
 </li>
 <li>
 Support strategic planning with market insights and competitive intelligence
 </li>
 <li>
 Drive unit economics optimization across business lines
 </li>
 <li>
 Commercial Intelligence
 </li>
 <li>
 Create dashboards and reporting for sales, marketing, and partnerships
 </li>
 <li>
 Develop customer segmentation and lifetime value models
 </li>
 <li>
 Enable revenue optimization through pricing analytics
 </li>
 <li>
 Build self-service analytics capabilities
 </li>
 <li>
 Data Infrastructure
 </li>
 <li>
 Partner with Engineering on data architecture and warehouse solutions
 </li>
 <li>
 Implement BI tools and ensure data governance
 </li>
 <li>
 Drive data democratization with appropriate controls
 
 
 </li>
 </ul>
 
 🧙&zwj;&male;️ The Magic You Bring
 
 
 
 Role is Doha, in-person based. Applicants outside of Doha will need to relocate with relocation support from Snoonu.
 
 
 <ul>
 <li>
 Experience
 </li>
 <li>
 Bachelor's in quantitative field; MBA/MS preferred
 </li>
 <li>
 8+ years in analytics/BI, 3+ years leadership experience
 </li>
 <li>
 Marketplace or e-commerce experience is strongly preferred, food-tech experience is a big bonus.
 </li>
 <li>
 Technical Skills
 </li>
 <li>
 Expert SQL and data warehouse technologies (BigQuery is a must)
 </li>
 <li>
 Proficiency in Python/R and BI tools (Tableau, Looker)
 </li>
 <li>
 Experience with ML, experimentation, and modern data stack
 </li>
 <li>
 Business Skills
 </li>
 <li>
 Strong financial modeling and FP&amp;A capabilities
 </li>
 <li>
 Understanding of marketplace dynamics and unit economics
 </li>
 <li>
 Proven track record of driving business impact through data
 </li>
 <li>
 Leadership
 </li>
 <li>
 Experience building and developing high-performing teams
 </li>
 <li>
 Excellent stakeholder communication and influence skills
 </li>
 <li>
 Change management experience in data transformation
 
 
 </li>
 </ul>
 
 Inside Snoonu&rsquo;s Universe
 
 
 
 Snoonu is Qatar&rsquo;s homegrown Super App, reinventing daily life with blazing-fast delivery, ride-hailing, and shopping - all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.
 
 
 
 The Dream We&rsquo;re Chasing
 
 
 
 To be the first Qatari Super App that propels the region and its community through innovation and technology. We envision a global expansion where what we do surpasses norms and limitations every time.
 
 
 
 The Quest We&rsquo;re On
 
 
 
 To radically transform how people live by leveraging technology to connect them with endless possibilities.
 
 
 
 Our Everyday Superpowers
 
 
 
 
 👥 Be Customer Obsessed:
 
 &ldquo;Focus on the customer and all else will follow.&rdquo;
 
 
 
 💪 Act with Integrity:
 
 &ldquo;We are honest, ethical, and trustworthy in everything we do.&rdquo;
 
 
 
 🧪 Be Curious and Creative:
 
 &ldquo;We constantly innovate and create solutions to bring a lasting positive impact.&rdquo;
 
 
 🏅
 
 Lead by Example and Take Ownership:
 
 &ldquo;Be the change you want to see and take ownership.&rdquo;
 
 
 
 🚀 Work Smart and Deliver Results:
 
 &ldquo;You can do more by doing less, better, and faster.&rdquo;
 
 
 
 👨&zwj;💼 It's All About People:
 
 &ldquo;Be a team player; together we are stronger.&rdquo;
 
 
 
 Perks &amp; Worklife Magic At Snoonu
 
 
 
 
 🌐 Global Vibes &ndash;
 
 Collaborate with a worldwide crew.
 
 
 
 🧠 Brain Boosters &ndash;
 
 Learning budgets, access to courses, and tools for your growth.
 
 
 
 🚒 Builder&rsquo;s Playground &ndash;
 
 Own your tasks, own your path! We&rsquo;re big on autonomy.
 
 
 🏝️
 
 Flexible Time Off &ndash;
 
 We take recharging seriously. Generous leave and wellness policies.
 
 
 
 🛠️ Agile Everything &ndash;
 
 Scrum isn&rsquo;t a buzzword here. It&rsquo;s how we roll, from product to ops.
 
 
 
 Beyond the Code: Giving Back Matters
 
 
 
 We don&rsquo;t just build app. We&rsquo;re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we&rsquo;re always finding ways to do better&mdash;and we invite you to be a part of that mission.
 
 
 
 Diversity Isn&rsquo;t Just a Buzzword
 
 
 
 At Snoonu, fairness and inclusion are the foundation of everything we do. We&rsquo;re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.
 
 
 
 Let&rsquo;s Build the Future Together
 
 
 
 Apply now to join a team where your contributions spark a change and your voice is heard. Let&rsquo;s make some magic together.
 
 
 Stay in the loop&mdash;connect with us on LinkedIn!
</div>

Business Intelligence Sr. Manager - Commercial Insights

Airswift

<div>
 
 Vacancy Overview
 
 
 
 SR MECHANICAL ENGINEER (STATIC EQUIPMENT)
 
 
 Airswift is an international workforce solutions provider within the energy, process, and infrastructure industries. Airswift serves as a strategic partner to our clients, offering a turnkey workforce solution to capture and deliver the top talent needed to complete successful projects by aligning with the unique needs of our clients. With over 1,000 employees and 9,000 contractors operating in over 70 countries, our geographical reach and pool of talent available is unmatched in the industry.
 
 
 
 Airswift is seeking for Sr Mechanical Engineer (Static Equipment) to work in Qatar with a major Oil &amp; Gas Company.
 
</div>

Sr Mechanical Engineer (Static Equipment)

Explore 784+ Sr business analyst analytics in Qatar this February. Find roles across top companies and apply now to boost your career.

784 sr business analyst analytics jobs IN Qatar

SR. BUSINESS ANALYST (ANALYTICS)

SR. BUSINESS ANALYST (ANALYTICS)

Senior BA

SR. ACCOUNTANT (BACK OFFICE)

Data Analyst – Business Intelligence

Business Intelligence Sr. Manager - Commercial Insights

Sr Mechanical Engineer (Static Equipment)