Data Analyst at TotalEnergies

Candidate Profile

Required: 

• Bachelor's degree in mathematics, Statistics, Economics, Computer Science, or related field
• 2-4 years of experience in data analysis or related field
• Proficiency in SQL and experience with a programming language such as Python or R
• Experience with data visualization tools such as Power BI, 
•  Knowledge of statistical analysis techniques and familiarity with statistical software such as SPSS or SAS
• Strong analytical and problem-solving skills
• Excellent communication and collaboration skills
• Ability to work independently and as part of a team
• Familiarity with data governance and data quality best practices Excellent interpersonal, communication skills, written and verbal combined with effective technical presentation skills.
• Organised, methodical and able to multi-task whilst working under tight deadlines.

Preferred: 

• A thorough understanding of the Downstream industry and knowledge of Downstream companies' main strategic drivers.
• Experience of working within a dynamic Agile based team. 

Activities

Functional Expertise:

• Collect, analyse, and interpret complex data sets, and identify patterns and insights.
• Develop and maintain analytical dashboards, reports, and visualizations to communicate findings to stakeholders.
• Collaborate with cross-functional teams to identify key metrics, define data requirements, and validate data accuracy and completeness.
• Design and execute experiments to test hypotheses and measure the effectiveness of solutions.
• Use statistical techniques to identify correlations and causal relationships in data sets.
• Continuously monitor data quality, identify data anomalies and outliers, and recommend corrective actions.
• Use data visualization tools to present insights and recommendations to business stakeholders.
• Continuously improve data collection processes, data models, and analysis methods to enhance efficiency and accuracy

Solution Development:

• Assist in the development teams of end-to-end solutions for new and existing digital projects.

Solution Support:

• Collect and analyze data to support business decisions and drive insights.
• Develop and maintain analytical solutions to meet business needs.
• Ensure data accuracy, completeness, and quality.
• Collaborate with cross-functional teams to identify opportunities for process improvements and drive efficiencies.
• Provide guidance and support to business stakeholders on data analysis and solution development.