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

Majid Al Futtaim
Dubai, UAE
Full-time
Entry
Onsite
Discovered 2 weeks ago
PythonPandasNumPySQL/MySQLTableauPower BI

Full Job Posting

Role summary

Provide data engineering, analytics, and dashboard development support to Majid Al Futtaim Global Solutions.

Design and optimize data pipelines, create Tableau and Power BI dashboards, and deliver analytics and machine learning solutions to support data-driven decisions and AI initiatives.

Role profile

  • Design and optimize scalable Python and SQL/MySQL data pipelines for analytics and reporting.
  • Build and maintain interactive Tableau and Power BI dashboards with defined and governed KPIs.
  • Perform exploratory data analysis and statistical assessments to identify trends and support operational and strategic decisions.
  • Develop and evaluate predictive analytics and machine learning models, including work with scikit-learn.
  • Create and deploy lightweight analytics applications and proof-of-concept solutions using Streamlit.
  • Support AI, NLP, and Generative AI experimentation, prototyping, and validation.
  • Document data models, dashboards, and code repositories; follow data quality, governance, and version-control standards.
  • Deliver reporting-ready datasets, adopted dashboards, reusable analytical assets, and at least one documented analytics, ML, or AI prototype with recommendations.

Requirements

  • Proficiency in Python, Pandas, NumPy, and SQL/MySQL for data management, transformation, analysis, and modeling.
  • Strong expertise in Tableau, Power BI, and advanced Excel, including defining and monitoring KPIs.
  • Knowledge of exploratory analysis, statistics, and machine learning, including feature engineering, model development, evaluation, and optimization.
  • Experience developing and deploying analytics solutions and prototypes using Streamlit.
  • Exposure to AI tools such as Hugging Face and NLP frameworks.
  • Familiarity with Git/GitHub, Jupyter/Colab, VS Code, and PyCharm.
  • Strong analytical thinking, problem-solving, stakeholder communication, attention to detail, and continuous learning.
  • Relevant quantitative degree and practical experience through internships or academic projects.

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