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Responsibilities
Perform comprehensive data analysis, including data cleansing, transformation, and validation to ensure accuracy and integrity.
Develop and maintain robust data integration processes, sourcing data from various internal and external systems.
Design and implement effective data visualization and interpretation techniques to communicate complex findings to diverse audiences.
Contribute to the development and implementation of data strategy and governance frameworks, ensuring data quality and compliance.
Utilize Extract, Transform, and Load (ETL) methodologies to manage and optimize data workflows.
Collaborate with cross-functional teams to identify and solve complex business problems using data-driven approaches.
Apply strong commercial acumen to understand business needs and translate them into analytical requirements.
Effectively communicate insights and recommendations to stakeholders through presentations and reports.
Maintain awareness of and adhere to digital security best practices in all data handling.
Contribute to group problem-solving initiatives and foster a collaborative environment.
Develop and maintain strong data domain knowledge relevant to the company's operations.
Qualifications
Experience with a range of data and digital tools relevant to data operations, including:
SQL and Python for data manipulation and analysis
Visualization tools such as Power BI / Palantir Foundry Quiver
Cloud analytics platforms such as Databricks / Palantir Foundry
Git-based version control and DevOps practices
Experience / certifications in Palantir Foundry
Experience as a data analyst at a large energy company
Proven experience in data analysis, data manipulation, and data management.
Demonstrated proficiency in data cleansing and transformation techniques.
Solid understanding of data integration and data sourcing principles.
Expertise in data visualization and interpretation tools and methodologies.
Familiarity with ETL processes and tools.
Superb communication and interpersonal skills, with the ability to articulate complex data concepts clearly.
Solid commercial foresight and the ability to understand business context and objectives.
Experience supplying to data strategy and governance initiatives is a plus.
Knowledge of digital security standards in a data environment.
Ability to work effectively in a team-oriented, group problem-solving environment.
Bachelor's degree or experience in a relevant field such as Computer Science, Statistics, Mathematics, Economics, or a related quantitative subject area.
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Sprachkenntnisse
- English
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