Data Analyst

Role Overview

A Data Analyst is responsible for gathering, analyzing and problem solving as it relates to data, types of data, and relationships among data elements within a business system or IT system and with business domain expertise.

What You Will Do

The Data Analyst will support the analysis and visualization of data to provide valuable insights that drive business decisions.

Why It Might Be a Fit

The ideal candidate will have hands-on experience with data modeling, creating dashboards, and leveraging cloud technologies for data management.

Requirements

• Experience: Overall 3-7 years of experience with 2 years of proven experience in data analysis, data visualization, or related fields.
• Bachelor’s degree in Data Analytics, Computer Science, Statistics, or a related field (or equivalent experience).
• Technical Skills:
• Proficiency in Microsoft Azure services, including Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database.
• Experience in data visualization tools such as Power BI, Spotfire, and Tableau.
• Strong skills in data manipulation and transformation using SQL.
• Familiarity with the Microsoft Power Platform, including Power Apps, Power Automate, and Power BI.
• Proficiency in data visualization tools such as Power BI, Spotfire, Tableau.Data modeling techniques, data fluency and governance.
• Proficiency in Oil & gas workflows and data types
• Data Analysis: Understanding of data analysis concepts and experience in data modeling and building insightful reports.
• Problem Solving: Strong analytical and problem-solving skills, with attention to detail.
• Communication Skills: Ability to communicate complex data findings in a clear and concise manner to non-technical stakeholders.
• Team Collaboration: Ability to work effectively as part of a team, sharing knowledge, and supporting other team members.
• Excellent communication and collaboration skills with demonstrated ability to build trusted working relationships with remote peers and stakeholders (internal & external parties) across global teams and time zones.
• Strong knowledge of Microsoft Azure Services & Power Platform, including Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database.
• Experience with SQL and data querying languages.
• Experience with Python for data wrangling.
• Strong analytical and problem-solving skills with attention to detail and accuracy
• Fundamental knowledge of Information Risk Management (IRM).

Benefits

• Comprehensive benefits that support your health, well-being, and work-life balance.
• Structured learning, mentorship, and opportunities to contribute to impactful projects that align with Chevron’s values and business priorities.
• Access to emerging technologies and digital solutions that are shaping the future of energy and enterprise.

Tagged as: Data Analysis, Data Visualization, Power Automate, Power BI, Python, SQL, Tableau