Data Scientist/Analyst - Data Modelling & BI | Emirati Talent

Majid Al Futtaim; United Arab Emirates; On-site; AED 180,000 - 300,000; Full time

Job summary

Majid Al Futtaim Global Solutions seeks a data engineering and analytics specialist to design and optimize data pipelines, create Tableau and Power BI dashboards, and deliver analytics and ML solutions that accelerate AI innovation and data-driven decision‑making.

The role focuses on developing predictive analytics, exploring data, and documenting data models and code, with emphasis on governance and reusable assets across the organization.

Qualifications

• Proficiency in Python (Pandas, NumPy) and SQL/MySQL for data transformation and modeling.
• Strong expertise in Tableau and Power BI for dashboards and KPI governance.
• Knowledge of EDA, statistical techniques, and ML concepts including feature engineering.
• Experience building analytics solutions and prototypes using Streamlit or similar tools.
• Familiarity with collaboration tools and version control (Git/GitHub, Jupyter/Colab, VS Code, PyCharm).
• Demonstrates analytical thinking, problem-solving, stakeholder communication, and a continuous learning mindset.

Responsibilities

• Design, develop, and optimize scalable data pipelines using Python and SQL/MySQL.
• Create and maintain interactive Tableau and Power BI dashboards with governed KPIs.
• Conduct exploratory data analysis to identify trends and insights for decisions.
• Develop and evaluate predictive analytics and ML models using scikit-learn.
• Build lightweight analytics apps and proof-of-concept solutions with Streamlit.
• Support AI, NLP, and Generative AI initiatives with experiments and prototypes.
• Maintain documentation for data models, dashboards, and code with governance.
• Deliver reporting-ready datasets and reusable analytical assets with documented outcomes.

Skills

Analytical thinking

Problem-solving

Stakeholder communication

Education

Quantitative degree (Data Science / CS / Statistics)

Tools

Python

SQL

Tableau

Power BI

Excel

GitHub

Jupyter/Colab

VS Code

PyCharm

Job description

ROLE SUMMARY

Provide data engineering, analytics, and dashboard development support to Majid Al Futtaim Global Solutions (MAF GS) by designing and optimizing data pipelines, creating insightful Tableau and Power BI dashboards, and delivering analytics and machine learning solutions that enhance data-driven decision-making and accelerate AI innovation initiatives.

ROLE PROFILE

• Design, develop, and optimize scalable data pipelines using Python and SQL/MySQL to ensure high-quality datasets are available for analytics and reporting.
• Build, enhance, and maintain interactive Tableau and Power BI dashboards, delivering actionable insights through clearly defined and governed KPIs.
• Conduct exploratory data analysis and statistical assessments to identify trends, generate insights, and support operational and strategic decision-making.
• Develop and evaluate predictive analytics and machine learning models, leveraging tools such as scikit-learn to address business challenges and improve outcomes.
• Create and deploy lightweight analytics applications and proof-of-concept solutions using Streamlit, improving stakeholder access to data and insights.
• Support AI, NLP, and Generative AI initiatives by contributing to experimentation, prototyping, and validation of innovative use cases.
• Maintain comprehensive documentation for data models, dashboards, and code repositories while adhering to data quality, governance, and version control standards.
• Deliver reporting-ready datasets, stakeholder-adopted dashboards, reusable analytical assets, and at least one analytics, ML, or AI prototype with documented outcomes and recommendations for future implementation.

REQUIREMENTS

• Proficiency in Python (Pandas, NumPy) and SQL/MySQL to manage, transform, analyze, and model data for business insights and reporting.
• Strong expertise in data visualization and business intelligence tools, including Tableau, Power BI, and advanced Excel, with the ability to define and monitor meaningful KPIs.
• Knowledge of exploratory data analysis, statistical techniques, and machine learning concepts, including feature engineering, model development, evaluation, and performance optimization.
• Experience in developing and deploying analytics solutions and prototypes using Streamlit, with exposure to modern AI platforms and tools such as Hugging Face and NLP frameworks.
• Familiarity with collaborative development environments and version control tools, including Git/GitHub, Jupyter/Colab, VS Code, and PyCharm, ensuring efficient project delivery and knowledge sharing.
• Demonstrates strong analytical thinking, problem-solving ability, stakeholder communication, attention to detail, and a continuous learning mindset, supported by a relevant quantitative degree and practical experience through internships, academic project