business analyst

data engineer

financial analyst

data analyst

Alghanim Industries

<div>
 Job description:
 
 
 
 
 Job Summary
 
 
 
 The Supply Chain Analyst is responsible for conducting data analysis to optimize supply chain operations, enhance efficiency, and reduce costs. This role requires a strong analytical mindset, problem-solving skills, and a keen understanding of supply chain processes. The analyst will support the supply chain team in achieving operational excellence through data-driven insights and process improvements.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Collect, analyze, and interpret supply chain data to identify trends, patterns, and areas for improvement.
 </li>
 <li>
 Develop and implement data-driven solutions to enhance supply chain efficiency and effectiveness.
 </li>
 <li>
 Support supply chain optimization projects, such as warehouse slotting and route planning.
 </li>
 <li>
 Develop and maintain inventory control policies and procedures.
 </li>
 <li>
 Conduct vendor performance evaluations and identify cost-saving opportunities.
 </li>
 <li>
 Collaborate with cross-functional teams to ensure smooth supply chain operations.
 </li>
 <li>
 Utilize data analytics tools and software to generate reports and insights.
 </li>
 </ul>
 
 
 Candidate Requirements&nbsp;
 
 
 <ul>
 <li>
 Bachelor's degree in Supply Chain Management, Logistics, Business Administration, or a related field.
 </li>
 <li>
 Strong analytical skills and proficiency in data analysis tools.
 </li>
 <li>
 Proficiency in Microsoft Office Suite, including Excel.
 </li>
 <li>
 Knowledge of supply chain management principles and best practices.
 </li>
 <li>
 Strong attention to detail and organizational skills.
 </li>
 <li>
 Excellent communication and interpersonal skills.
 </li>
 </ul>
</div>

Alghanim Academy - Associate Supply Chain Analyst (Full-time opportunity)

COZMALABS

Key Responsibilities:<ul><li>Collaborate with stakeholders to gather, document, and analyze business requirements.</li><li>Evaluate business processes and identify areas for improvement or automation.</li><li>Translate business needs into technical specifications for development or implementation teams.</li><li>Develop and maintain documentation such as business requirements, functional specifications, and workflow diagrams.</li><li>Conduct market and competitor analysis as needed.</li><li>Assist in project planning, tracking, and reporting.</li><li>Support testing, implementation, and training activities.</li><li>Monitor and evaluate implemented solutions to ensure they meet business objectives.</li><li>Communicate insights and recommendations clearly to cross-functional teams and leadership.</li></ul>Requirements: Education &amp; Experience:<ul><li>Bachelor&rsquo;s degree in Business Administration, Information Systems, Finance, or related field.</li><li>[1&ndash;5+] years of experience as a Business Analyst or similar role.</li><li>Experience with data analysis, business intelligence tools, or process modeling is a plus.</li></ul>Skills:<ul><li>Strong analytical and problem-solving skills.</li><li>Proficiency in tools such as Excel, SQL, Tableau/Power BI, or similar.</li><li>Familiarity with Agile or Waterfall methodologies.</li><li>Excellent written and verbal communication skills.</li><li>Ability to manage multiple stakeholders and prioritize tasks effectively.</li><li>Arabic language proficiency is preferred.</li></ul>Job Type: Full-time

Business Analyst

Zain

<div>About the Role 
The Postpaid Offer Configuration supports the development and configuration of attractive and data-driven offers across Postpaid segments. Working closely with analytics, marketing, and technical teams, the analyst contributes to offer planning, documentation, and execution across B2C channels. This role is focused on ensuring timely, efficient, and insight-driven offer delivery that aligns with commercial goals. 
Responsibilities:<ul><li>
Act as the first line of support for CVM offer configuration, banner setup, and digital ads, resolving issues or escalating as needed</li><li>
Coordinate with internal and external stakeholders to ensure timely and successful campaign and offer launches</li><li>
Support in planning, configuring, and documenting new offers, including drafting high-level technical requirements</li><li>
Provide daily, weekly, and monthly performance reports to monitor KPIs and identify areas for improvement</li><li>
Generate monthly CVM-related reports for the CVM, digital, and analytics director</li><li>
Maintain effective coordination across teams when launching new CVM initiatives</li><li>
Prioritize tasks based on commercial value, strategic alignment, and customer impact</li><li>
Assist with customer base segmentation analysis to identify micro-segment targets</li><li>
Research market trends (loyalty, retention, churn, etc.) to inform CVM strategies</li><li>
Extract and analyze internal and external data to uncover trends, behavioral shifts, and performance evolution</li><li>
Design and deploy predictive models to support business objectives, including churn prediction, upsell propensity, and offer personalization</li><li>
Develop customer profiles and segmentation models to improve targeting accuracy across products, channels, and lifecycle stages</li><li>
Build internal and external use cases such as market benchmarking, penetration analysis, and data monetization solutions</li><li>
Translate business challenges (e.g., stagnant penetration rates, low conversion) into data-driven solutions</li><li>
Partner with commercial and marketing teams to define relevant segments and optimize campaign strategies</li><li>
Contribute to the development of real-time decisioning tools that enhance personalization and improve customer engagement</li><li>
Support in offer sizing, profitability analysis, and feasibility studies</li><li>
Develop and maintain offer documentation and support materials</li><li>
Liaise with marketing teams to incorporate customer behavior and market insights into campaign design</li><li>
Monitor and report on operational and financial KPIs, ensuring alignment with set targets</li><li>
Ensure compliance with environmental regulations and internal policies as mandated by statutory bodies and Zain Group</li><li>
Perform all the above-mentioned roles and responsibilities in compliance to the Information Security Management System (ISMS) policies and report any information/physical security breaches or incidents to the supervisor/manager immediately.</li><li>
Be aware of, and adhere to, all environmental requirements as set by the statutory bodies in Kuwait, or by the published policies of Zain Group/Kuwait.</li><li>
Zain abides by fulfilling the occupational health and safety certificate requirements that establishes and maintains an OH&amp;S management system that eliminate hazards and minimizes OH&amp;S risks (including system deficiencies), take advantage of OH&amp;S opportunities and addresses OH&amp;S management system nonconformities associated with its activities.</li></ul>
What We Need From You 
Skills:<ul><li>
Strong communication and coordination abilities</li><li>
Good understanding of customer segmentation and journey mapping</li><li>
Basic knowledge of offer lifecycle and campaign execution</li><li>
Analytical mindset with ability to interpret data and identify trends</li><li>
Proficiency in Excel and PowerPoint; knowledge of SQL/VBA is a plus</li><li>
Familiarity with telecom products and services</li><li>
Organized, detail-oriented, and proactive team player</li><li>
Willingness to learn agile methodologies</li></ul>
Education Level/ Major:
Bachelor's Degree required; MIS / BI / Data Analyst &amp; Data Science or a related field
Years Of Experience:
+5</div>

Postpaid Offer Configuration

Zain Kuwait

<div>
 
 About The Role
 
 
 
 The Postpaid Offer Configuration supports the development and configuration of attractive and data-driven offers across Postpaid segments. Working closely with analytics, marketing, and technical teams, the analyst contributes to offer planning, documentation, and execution across B2C channels. This role is focused on ensuring timely, efficient, and insight-driven offer delivery that aligns with commercial goals.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Act as the first line of support for CVM offer configuration, banner setup, and digital ads, resolving issues or escalating as needed
 </li>
 <li>
 Coordinate with internal and external stakeholders to ensure timely and successful campaign and offer launches
 </li>
 <li>
 Support in planning, configuring, and documenting new offers, including drafting high-level technical requirements
 </li>
 <li>
 Provide daily, weekly, and monthly performance reports to monitor KPIs and identify areas for improvement
 </li>
 <li>
 Generate monthly CVM-related reports for the CVM, digital, and analytics director
 </li>
 <li>
 Maintain effective coordination across teams when launching new CVM initiatives
 </li>
 <li>
 Prioritize tasks based on commercial value, strategic alignment, and customer impact
 </li>
 <li>
 Assist with customer base segmentation analysis to identify micro-segment targets
 </li>
 <li>
 Research market trends (loyalty, retention, churn, etc.) to inform CVM strategies
 </li>
 <li>
 Extract and analyze internal and external data to uncover trends, behavioral shifts, and performance evolution
 </li>
 <li>
 Design and deploy predictive models to support business objectives, including churn prediction, upsell propensity, and offer personalization
 </li>
 <li>
 Develop customer profiles and segmentation models to improve targeting accuracy across products, channels, and lifecycle stages
 </li>
 <li>
 Build internal and external use cases such as market benchmarking, penetration analysis, and data monetization solutions
 </li>
 <li>
 Translate business challenges (e.g., stagnant penetration rates, low conversion) into data-driven solutions
 </li>
 <li>
 Partner with commercial and marketing teams to define relevant segments and optimize campaign strategies
 </li>
 <li>
 Contribute to the development of real-time decisioning tools that enhance personalization and improve customer engagement
 </li>
 <li>
 Support in offer sizing, profitability analysis, and feasibility studies
 </li>
 <li>
 Develop and maintain offer documentation and support materials
 </li>
 <li>
 Liaise with marketing teams to incorporate customer behavior and market insights into campaign design
 </li>
 <li>
 Monitor and report on operational and financial KPIs, ensuring alignment with set targets
 </li>
 <li>
 Ensure compliance with environmental regulations and internal policies as mandated by statutory bodies and Zain Group
 </li>
 <li>
 Perform all the above-mentioned roles and responsibilities in compliance to the Information Security Management System (ISMS) policies and report any information/physical security breaches or incidents to the supervisor/manager immediately.
 </li>
 <li>
 Be aware of, and adhere to, all environmental requirements as set by the statutory bodies in Kuwait, or by the published policies of Zain Group/Kuwait.
 </li>
 <li>
 Zain abides by fulfilling the occupational health and safety certificate requirements that establishes and maintains an OH&amp;S management system that eliminate hazards and minimizes OH&amp;S risks (including system deficiencies), take advantage of OH&amp;S opportunities and addresses OH&amp;S management system nonconformities associated with its activities.
 
 
 </li>
 </ul>
 What We Need From You
 
 
 
 Skills
 
 
 
 <ul>
 <li>
 Strong communication and coordination abilities
 </li>
 <li>
 Good understanding of customer segmentation and journey mapping
 </li>
 <li>
 Basic knowledge of offer lifecycle and campaign execution
 </li>
 <li>
 Analytical mindset with ability to interpret data and identify trends
 </li>
 <li>
 Proficiency in Excel and PowerPoint; knowledge of SQL/VBA is a plus
 </li>
 <li>
 Familiarity with telecom products and services
 </li>
 <li>
 Organized, detail-oriented, and proactive team player
 </li>
 <li>
 Willingness to learn agile methodologies
 
 
 </li>
 </ul>
 
 Education Level/ Major
 
 
 
 Bachelor&rsquo;s Degree required; MIS / BI / Data Analyst &amp; Data Science or a related field
 
 
 
 Years Of Experience
 
 
 
 +5
 
 
 
 About Application Process
 
 
 
 If you meet the criteria and you are enthusiastic about the role, we would welcome your application. To complete the application you would need the following document(s):
 
 
 <ul>
 <li>
 Resume/CV
 </li>
 <li>
 Passport-size photograph
 </li>
 <li>
 Highest Education Qualification
 </li>
 <li>
 Copy of Civil ID/Passport
 </li>
 </ul>
</div>

ZAIN2028 - Postpaid Offer Configuration

B&B Hotel Hannover-City

Job Brief:Do you have 10+ years of proven, real-world experience transforming noisy, high-volume operational data into actionable machine learning models? Are you the bridge between raw data, deep statistical insights, and engineering decisions?<ul><li>If you are the Data Scientist who can define, build, and evaluate ML models for forecasting, anomaly detection, and classification in a digital oilfield context...</li><li>If you are the driver who can collaborate to set quantifiable modeling tasks and design compelling data visualizations that lead to operational improvements...</li></ul>Then we need your expertise to create the intelligence layer that powers our client's digital systems.Key Responsibilities:<ul><li>Build predictive and prescriptive models for drilling, reservoir, and production data.</li><li>Perform data mining, statistical analysis, and ML modeling for complex energy datasets.</li><li>Collaborate with engineers to design data-driven optimization frameworks.</li><li>Integrate AI models with SCADA, IoT, and real-time oilfield systems.</li><li>Develop visual analytics dashboards and automated data pipelines.</li><li>Apply deep learning techniques to sensor and time-series data.</li><li>Present technical findings to stakeholders for strategic decision-making.</li></ul>Required Qualification / Experience / Skills:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Petroleum Engineering, or related field.</li><li>10+ years of experience as a Data Scientist in oil &amp; gas, industrial, or energy domains.</li><li>Expertise in Python, R, SQL, and ML frameworks (TensorFlow, Scikit-learn, PyTorch).</li><li>Proficiency in handling structured/unstructured data and big data platforms (Spark, Hadoop).</li><li>Strong background in statistics, predictive modeling, and data visualization tools (Power BI, Tableau).</li><li>Understanding of production optimization, drilling analytics, and asset management.</li><li>Excellent communication and cross-functional teamwork skills.</li></ul>Job Location: RemoteType of Employment: Permanent / Full timeSalary: Negotiable (based on experience)What you can expect from the employer:<ul><li>Competitive salary package.</li><li>Work on digital transformation projects within the energy sector.</li><li>Remote flexibility and collaborative culture.</li><li>Opportunities to lead high-impact analytics initiatives.</li></ul>Job Types: Full-time, PermanentApplication Question(s):<ul><li>Do you have 10 years of experience in data science and analytics?</li><li>Have you worked on digital oilfield or energy analytics projects?</li><li>Are you proficient in ML, statistical modeling, and big data tools?</li><li>Can you build and deploy predictive models for real-time industrial data?</li></ul>

Data Scientist – Digital Oilfield

Job Brief:Are you experienced in developing and deploying ML solutions for subsurface and production engineering workflows with 10+ years of hands-on experience? Do you excel at transforming real-world, noisy operational data into high-accuracy time-series predictions and anomaly detection models? If so, this is the opportunity with one of our client!Key Responsibilities:<ul><li>Design, build, train, and deploy production-grade ML models for applications including time series prediction, anomaly detection, and clustering within digital field systems.</li><li>Collaborate closely with Senior Production Engineers and other domain experts to identify, scope, and prioritize high-value ML opportunities.</li><li>Validate model accuracy and performance rigorously in operational settings and industrial environments.</li><li>Partner with software engineering teams (ML Ops, Full Stack) to ensure seamless integration and scalability of deployed models.</li><li>Conduct complex data modeling and feature engineering on diverse operational datasets.</li></ul>Required Qualifications/Experience/Skills:<ul><li>10+ years of experience in Machine Learning and data science.</li><li>Strong background in developing models for time series analysis and anomaly detection.</li><li>Expert proficiency in Python and core ML libraries (e.g., scikit-learn, TensorFlow/PyTorch).</li><li>Deep understanding of data modeling, statistical analysis, and model validation techniques.</li><li>Familiarity with subsurface or production engineering concepts is highly advantageous.</li></ul>Job Location: RemoteType of Employment: Permanent / Full timeSalary: Negotiable (based on experience)What you can expect from the employer:<ul><li>Competitive salary based on experience.</li><li>Work on cutting-edge digital oilfield initiatives.</li><li>Collaborative and innovative environment.</li><li>Remote flexibility and global exposure.</li></ul>Job Types: Full-time, PermanentApplication Question(s):<ul><li>Do you have experience in building ML solutions for oil &amp; gas applications?</li><li>Have you worked with time-series and production data analytics?</li><li>Are you proficient in deploying ML models to digital oilfield systems?</li><li>Do you have 10 years of relevant experience in Machine Learning and energy analytics?</li></ul>

Machine Learning Engineer – Digital Oilfield

Explore 115+ Data analyst in Kuwait City this November. Find roles across top companies and apply now to boost your career.

115 data analyst jobs IN Kuwait City

Alghanim Academy - Associate Supply Chain Analyst (Full-time opportunity)

Business Analyst

Postpaid Offer Configuration

ZAIN2028 - Postpaid Offer Configuration

ZAIN2028 - Postpaid Offer Configuration

Data Scientist – Digital Oilfield

Machine Learning Engineer – Digital Oilfield