31 Data Mining jobs in Qatar

About the Role:

We are looking for a keen observer to join as a Data Analyst Intern in Qatar, supporting HR analytics using internal software systems. The role involves understanding HR metrics, analyzing data, and generating insights to support HR decision-making. Freshers are welcome to apply.

Responsibilities

• Collect and analyze HR data from internal systems
• Prepare basic reports and dashboards on HR metrics
• Identify trends and patterns to support HR decision-making
• Assist in streamlining and automating reporting processes

Qualifications

Pursuing or recently completed a degree in HR, Data Analytics, Business, or related field

Strong analytical and observational skills

Familiarity with Excel or basic data visualization tools

Eagerness to learn and work in a fast-paced environment

We are seeking on behalf of our client an experienced Data Analytics Consultant with strong experience in data science and advanced analytics to support our clients in leveraging data-driven insights for strategic decision-making. The role involves working closely with stakeholders to design and deliver analytics solutions, build predictive models, and translate business requirements into actionable outcomes.

• Collaborate with clients to understand business challenges and define analytics use cases.
• Design, develop, and deploy data science models, dashboards, and reporting solutions.
• Conduct data extraction, cleaning, and transformation to ensure high-quality outputs.
• Present insights and recommendations in a clear, business-oriented manner.
• Work in cross-functional teams to deliver end-to-end analytics projects.

• Proven experience in data analytics, data science, or related consulting roles.
• Proficiency in tools such as Python, R, SQL, Power BI, or Tableau.
• Strong knowledge of statistical methods, predictive modeling, and machine learning.
• Excellent communication and presentation skills in Arabic and English.
• Ability to manage multiple client engagements and deliver high-quality outcomes.

This is a 12-month fixed-term contract with the potential to transition into a permanent role

Overview

Data Analytics and Power BI Developer — Location: Qatar — Job Type: Full-time, Contract

The Data Analytics and Power BI Developer will lead analytics applications and tools to implement dashboards, reports, and applications for major projects. The role involves managing data warehouses, reporting systems, and predictive modelling software, transforming raw data into meaningful visualizations that drive actionable insights. The position is responsible for ensuring data and system functioning according to specifications, developing effective data management approaches, maintaining data integrity, and providing technical leadership on data and system technologies. The role also covers development of ETL tools for data integration and extraction (Extract, Transform, Load).

• Bachelor’s degree in Computer Science, Information Management, Business, Accounting, Marketing, Engineering, Project Management, Supply Chain, Law, Communications, Technology, Mathematics, or Statistics

• Minimum 8 years’ experience as a Power BI Developer, Dashboard Designer, or similar role, preferably in the oil and gas construction industry
• Minimum 5 years’ experience in SQL for data manipulation and extraction
• Experience with Oracle Primavera P6

• Strong knowledge of data analytics, dashboard, and report development
• Experience in Power BI, MS SQL, SharePoint, Excel, and Power Platform including Power Apps
• Data modelling and visualization concepts, Data Analysis Expressions (DAX), Power Query
• ETL tools experience (e.g., SSIS or similar)
• ASP.NET, SharePoint, HTML, CSS
• Experience with report automation using SSRS, Power BI Report Builder, SAP Analytics Cloud, SAP BusinessObjects Lumira, SAP Data Services, WEBI (BusinessObjects Web Intelligence) preferred
• Strong IT, coordination, analytical, and problem-solving skills
• Excellent written and spoken English, communication, collaboration, and supervisory skills

Overview

Doha Bank is seeking a strategic and visionary leader to head its Data Intelligence & Analytics department. This high-impact role reports directly to the Chief Information Officer and is responsible for driving the Bank’s enterprise-wide data strategy, governance, and analytics capabilities. You will lead a multidisciplinary team focused on unlocking the power of data to improve performance, reduce risk, and enhance operational efficiency across all business functions.

• Lead the enterprise data strategy, governance, and analytics capabilities.
• Direct a multidisciplinary team to unlock the power of data to improve performance, reduce risk, and enhance operational efficiency across all business functions.

The original description does not provide qualifications. It references a detailed job description and application link, but no link is included in the text provided.

Job Summary
You will be responsible for end-to-end data science cycles, encompassing designing, training, implementing, evaluating, and monitoring machine learning models, and will also design and implement highly scalable tools and algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies.

You will work across the ML stack, from researching models, working with large datasets, training, and tuning existing models to creating new models, deploying them at scale, analyzing results, and presenting findings to stakeholders across tech and business domains.

Job Objectives

• Develop and implement advanced predictive models to optimize customer experiences and other business outcomes.
• Analyze large and complex datasets to extract actionable insights and drive business decisions.
• Interpret results and provide actionable insights to guide real-time decision-making within the business context.
• Collaborate with cross-functional teams to ensure proper deployment and integration of ML models for new releases.

Job Responsibilities
Predictive Modeling and Deployment

• Develop and implement advanced predictive models to forecast key business metrics such as sales, customer churn, or product demand.
• Utilize predictive modeling to optimize customer experiences and other business outcomes.
• Execute machine learning models, algorithms, and statistical techniques to analyze historical data and ensure scalability and efficiency.

Data Preparation and Analysis

• Develop and use advanced software programs, algorithms, and query techniques to cleanse, integrate, and evaluate datasets for model inputs.
• Analyze large and complex datasets to extract actionable insights and identify trends and patterns that can drive business decisions.
• Identify manual human processes, understand user behaviors, and analyze use cases that can be augmented or automated.

Model Deployment and Interpretation

• Deploy models into production environments and monitor their performance over time.
• Apply statistical, mathematical, and predictive modeling techniques to build, maintain, and improve real-time decision systems.
• Interpret results, develop insights within the business context, and provide guidance on risks and limitations

Development & Documentation

• Write the code as per agreed software design rules to keep it aligned with the rest of the code base.
• Code the final implementation that the generated code is referring to.
• Follow company software data protection and security guidelines in developing software.
• Accurately estimate the time needed to complete an assigned task.
• Identify possible causes of issues or problems.
• Think through and recommend solutions when raising issues around code, requirements, etc.
• Write technical design documentation that fully defines all application code.
• Maintain detailed knowledge of iHorizons products and services.
• Understand the business impact for labs outcomes.

Collaboration & Team Guidance

• Stay updated on the latest research, learn new applications, tools, and technologies in the fields of data science and machine learning through intensive and focused effort.
• Collaborate with technical and non-technical business partners to develop analytical dashboards describing ML algorithm findings to stakeholders.
• Collaborate with other teams to perform code reviews and oversee proper deployment for new releases.
• Actively mentor and support mid-level and junior developers in their professional growth.
• Provide guidance on best practices in machine learning, code reviews, and project design.
• Foster an inclusive and collaborative environment that encourages continuous learning and development within the team.
• Oversee interactions with vendors and third-party service providers, including collaborating on the design and implementation of technical architectures, and acting as a point of contact for resolving technical issues. Maintain clear communication with internal stakeholders regarding vendor-related activities, updates, and issues to facilitate smooth collaboration and decision-making processes.

Job Requirements
Educational Qualification

• Bachelor's degree in data science, statistics, and computer science is a MUST.
• Google Cloud - Professional Machine Learning Engineer Certificate
• Google AgentSpace implementation experience

Previous Work Experience

• 3-4+ Years of experience in data science or machine learning.
• Must have strong experience in at least one of the following areas:
• Vision models
• NLP models (Experience in Arabic NLP is a huge plus)

Skills And Abilities

• Proficient in python, TensorFlow, keras and pytorch.
• Good experience in:
• SQL and non-relational databases.
• Data analytics reports generation.
• ML model development deployment.

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