Data Analyst (Oil and Gas) (Doha)

At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day.

We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results.

Our digital transformation is moving from strategy to execution. We have a clear, funded roadmap of high-impact data and AI use cases designed to fundamentally re-engineer our operations—from improving drilling efficiency and implementing predictive maintenance on critical assets to enhancing subsurface modeling for better exploration outcomes. This is not just an IT upgrade; it is a core business imperative to create a more resilient, efficient, and intelligent energy company. We are now building the core team of innovators and builders to deliver these initiatives. This Data Engineer role is critical to bringing that vision to life, moving beyond theory to engineer the specific, robust data solutions that will power our most strategic projects and deliver measurable value.

•            Gather, process, and validate large data sets from multiple sources (SCADA, ERP, IoT, etc.).

•            Develop dashboards and visualizations using Power BI, Tableau, or Qlik.

•            Perform data analysis, trend identification, and forecasting to support business initiatives.

•            Work with data engineers to ensure data quality and availability within the data lake.

•            Automate reporting workflows and create reusable data models.

•            Present findings and recommendations to technical and non-technical stakeholders.

•            Bachelor's degree in computer science, Statistics, or related field.

•            6+ years of experience in data analytics or BI.

•            Strong skills in SQL, DAX, and Power BI/Tableau.

•            Understanding of ETL pipelines, data lakes, and data governance principles.

•            Experience in Python or R for advanced analytics preferred.

•            Strong problem-solving and visualization skills.

•            Certification in Power BI Data Analyst (PL-300) or equivalent.

•            Familiarity with Databricks, Azure Data Factory, and DataSphere.

•            Experience in Oil & Gas performance and production analytics.