Senior Project Data Analyst
Summary
Analyze and visualize project data for EPCI logistics projects using Power BI, SQL, and Python to create dashboards and reports for stakeholders.
Role Overview:
Support EPCI project execution through effective data management, analytics, visualization & reporting. Transform large volumes of projetc data into meaningful insights and client deliverables through reporting tools.
Responsibilities:
Data Analysis & Visualization
- Develop and maintain interactive dashboards and visualization tools using Power BI or similar platforms to support project monitoring and decision-making. Convert raw project data into meaningful insights for internal stakeholders and client reporting.
Data Transformation & Reporting
- Extract, process, and transform data from databases or other project systems to produce project reports, analytics, and client deliverables.
- Prepare structured datasets suitable for visualization, reporting, and project performance tracking.
- Develop automated reporting templates to improve efficiency and consistency.
Data Logic & System Understanding
- Understand the data structure, data relationships, and logic across various project systems and databases.
- Work with Information Management teams to ensure project data is properly interpreted and used for project deliverables.
- Apply scripting tools (e.g., Python or other solutions) when visualization tools alone cannot meet data processing or transformation needs.
Collaboration with Digital Teams
- Coordinate with internal digital teams and external vendors responsible for database management and system integration.
- Support verification that project data is transmitted to the data lake in a timely and accurate manner.
- Assist in troubleshooting data issues affecting dashboards, reports, or deliverables.
Requirements:
- Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Engineering, or related discipline.
- Minimum 4-7 years of experience in data analytics, business intelligence, or project data management.
- Strong proficiency in SQL querying and database data extraction.
- Proven experience in Power BI dashboard development and data visualization.
- Basic scripting capability (e.g., Python) for data manipulation when required.
- Experience supporting large engineering or construction FPSO EPCI projects is preferred.
- Strong analytical and problem-solving skills.
- Ability to communicate insights clearly to both technical and non-technical stakeholders.
- Detail-oriented with strong data validation capability.
- Experience working with engineering deliverables, project controls data, or document management systems is preferred.