Sr. Data Analyst

**Company**

QatarEnergy is an integrated national oil corporation that stands at theforefront of efforts for the long term sustainable

development,utilization and monetization of oil and gas resources in the State ofQatar. In its efforts to become one of the

best national energycompanies in the world, QatarEnergy's activities and those of itssubsidiaries and joint ventures,

encompass the entire spectrum of theoil and gas value chain locally, regionally, and internationally. Theyinclude the

exploration, refining and production, marketing, and sale ofoil and gas, liquefied natural gas (LNG), natural gas

liquids(NGL), gasto 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 gasand other various products.

QatarEnergy's operations and activities areconducted at various onshore locations, including Doha, Dukhan and

theMesaieed and Ras Laffan Industrial Cities; and at various offshoreareas, such as offshore oilfields production stations,

drillingplatforms, Halul oil export island, and the North Field, which is thelargest single non-associated gas reservoir in the

world covering anarea of 6,000 square kilometers. The utilization of this field’s massivereserves has become a primary

national goal to continue the developmentand prosperity of the country. QatarEnergy pays the utmost attention tothe health

and safety of its employees, contractors, visitors and thelocal communities where it operates. From drilling to

construction,operations to decommissioning, QatarEnergy's health, safety andenvironment policy forms an integral part of

the corporation’s dailybusiness and long term planning. QatarEnergy is committed to contributeto a better future by meeting

today’s economic needs, while safeguardingour environment and resources for generations to come. Thriving oninnovation

and excellence, QatarEnergy is bound to the highest levels ofsustainable human, socio-economic, and environmental

development inQatar and beyond.

**Department**

INFORMATION & COMMUNICATION TECHNOLOGY

**Primary purpose of job**

The Senior Data Analyst is responsible for data engineering, designing, developing, and maintaining the infrastructure and

systems required for data storage, processing, and analysis. Plays a crucial role in building and managing the data

pipelines that enable efficient and reliable data integration, transformation, and delivery for all data users across

QatarEnergy.

Accountability

Technical role responsible for operating and ingesting data into QatarEnergy data repositories (e.g. Digital Data Platform,

Data warehouseetc) to ensure the availability of data for data visualization, data analytics and digital use cases by

designing, building and reviewing data integration pipelines.

Maintain close alignment with the data governance, data architecture, data security and overall business strategy.

Continuous collaboration with the various QatarEnergy business entities to ensure the data governance practices are

applied on the data repositories (e.g. Data Quality).

**Experience & Skills**

• 8 years’ experience within Oil and Gas, understanding of Upstream and Downstream Data requirements.- 5 Years of proven experience in data management disciplines, including data integration, modelling, optimization and data

quality, or other areas directly relevant to data engineering responsibilities and tasks within Oil and Gas

• Expert knowledge in Apache technologies such as Kafka, Airflow, and Spark to build scalable and efficient data pipelines.
• Full understanding of Data Discovery, Data Visualization, Data Warehousing, Data Governance (e.g., datalogging,

profiling, ownership/stewardship, Data Quality. etc)

• Strong experience in database technologies and techniques SQL, NoSQL
• A must have strong hands-on experience designing, developing, deploying, testing and maintaining data services on MS

Azure, (ADLS, Azure Synapse, Azure SQL, Azure Databricks. etc)

• Able to make quick decisions and solve technical problems to provide an efficient environment for project implementation.

Able to make quick decisions and solve technical problems to provide an efficient environment for project implementation.

• Awareness of data integration patterns, data modelling and data architecture
• Strong ability in programming languages such as Java, Python, or C/C++
• Ability in data science languages/tools such as SQL, R, SAS, or Excel
• Strong knowledge in ETLs, APIs, algorithms, data structures and business intelligence tools (Power BI)
• Ability to regularly learn and adopt new technology.
• Ability to debug and fix data issue.
• Ability to communicate across all levels of the organization and work with diverse project teams.
• Good Knowledge of Applications Architecture and Information Security Principles

**Education**

A bachelor’s degree in computer science, data science, software