| Role Synopsis |
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The Data Analyst plays a critical role in ensuring the integrity, usability, and integration of subsurface and wells data across platforms and teams. With a strong foundation in geoscience, Python programming, and database management, the analyst supports data quality initiatives, dashboard readiness, and cross-functional decision-making. This role is pivotal in enabling trusted data pipelines and analytics for planning, drilling, and operational efficiency across MENA assets.
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| Key Accountabilities |
- Data Profiling & Auditing:
- Identify missing, duplicate, or inconsistent data across subsurface and wells portfolios.
- Audit well headers, logs, casing depths, and time-depth curves to ensure data completeness and accuracy.
- Define Data Quality Rules:
- Codify validation rules (e.g., log depth < total depth, unit consistency).
- Implement checks using SQL, EDM, Power BI, and Well Intel tools to support reliable reporting.
- Cleansing & Validation:
- Standardize and correct log names, formation tops, mechanical values, and production data.
- Work across Petrel, Studio, OpenWorks, Fusion sheets, and Excel to ensure clean datasets.
- Data Integration:
- Merge and reconcile data across applications such as Petrel, PI System, Palantir, EDM, and SharePoint.
- Enable unified views for modeling, planning, and dashboarding.
- Dashboard Readiness:
- Prepare validated datasets for Power BI/Tableau with quality confidence tagging.
- Support creation of “One Source of Truth” dashboards for decision-makers.
- Auditability & Metadata Management:
- Maintain data dictionaries, lineage records, and version tracking.
- Ensure traceability, compliance, and reproducibility of models and analytics.
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| Essential Education |
- Degree in Data Science, Data Analytics, Computer Science, or Information Systems
- Omani citizen
- Minimum CGPA of 3.00
- Open for 2023, 2024, 2025 graduates
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| Required Technical Skills |
- Python (Pandas, NumPy, Matplotlib/Seaborn)
- SQL (basic to intermediate query writing)
- Excel (Pivot Tables, Lookups, formulas)
- Data Visualization (Power BI preferred; Tableau is a plus)
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| Soft Skills |
- Strong analytical and prioritization skills
- Ability to build relationships across Geoscience, Engineering, and IT disciplines
- Proven ability to implement data management best practices
- Willingness to learn and share knowledge
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