sr. business analyst

4 days ago

Doha, Baladīyat ad Dawḩah, Qatar Echelonix Full time

QatarEnergy is an integrated national oil corporation that stands at the forefront of efforts for the long-term sustainable development, utilization, and monetization of oil and gas resources in the State of Qatar. In its efforts to become one of the best national energy companies in the world, QatarEnergy's activities and those of its subsidiaries and joint ventures encompass the entire spectrum of the oil and gas value chain locally, regionally, and internationally. They include the exploration, refining and production, marketing, and sale of oil and gas, liquefied natural gas (LNG), natural gas liquids (NGL), gas to liquids (GTL) products, refined products, petrochemicals, fertilizers, steel, and aluminum.

As an integrated corporation, QatarEnergy's activities also include marketing and sale of oil and gas and other various products. QatarEnergy's operations and activities are conducted at various onshore locations, including Doha, Dukhan, and the Mesaieed and Ras Laffan Industrial Cities; and at various offshore areas, such as offshore oilfields production stations, drilling platforms, Halul oil export island, and the North Field, which is the largest single non-associated gas reservoir in the world covering an area of 6,000 square kilometers. The utilization of this field's massive reserves has become a primary national goal to continue the development and prosperity of the country. QatarEnergy pays the utmost attention to the health and safety of its employees, contractors, visitors, and the local communities where it operates. From drilling to construction, operations to decommissioning, QatarEnergy's health, safety, and environment policy forms an integral part of the corporation's daily business and long-term planning. QatarEnergy is committed to contribute to a better future by meeting today's economic needs while safeguarding our environment and resources for generations to come. Thriving on innovation and excellence, QatarEnergy is bound to the highest levels of sustainable human, socio-economic, and environmental development in Qatar and beyond.

Department

INFORMATION & COMMUNICATION TECHNOLOGY

Primary purpose of job

A Senior Data Analytics / Data Scientist will demonstrate to the business how to extract value from data, empowering better decision-making across the organization. Transform raw data into clear insights using statistical methods and data visualization tools. Delve deeper, building complex models and leveraging machine learning to solve problems and predict future trends within the data. Perform exploratory data analysis to identify trends, patterns, and anomalies. Focus on the user experience to design interactive dashboards with a strong understanding of business context and data following the industry and QatarEnergy best practices.

Experience & Skills
  • 8 years proven experience as a Data Analyst, Data Scientist, or in a similar role; Oil and Gas industry experience is preferred.
  • Experience with data visualization tools such as Power BI, Tableau, or similar.
  • Possess a strong understanding of data interpretation, and the ability to effectively represent data using appropriate visualization techniques to deliver actionable insights.
  • Good knowledge of statistics and storytelling with data.
  • Advanced SQL skills for querying large datasets, including complex joins, subqueries, and performance tuning.
  • Excellent capability to identify machine learning opportunities with measurable consumer and business benefit.
  • Proficiency in programming languages such as Python, R, or SQL.
  • Expertise and hands-on experience in using machine learning algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
  • Strong understanding of statistical analysis and predictive modeling techniques.
  • Exposure and familiarity with cloud-based data analytical solutions such as Microsoft Fabric, Databricks, etc.
  • Excellent written and verbal communication skills.
Education

A bachelor's degree in computer science, data science, information science, or related field; master's degree preferred.

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