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Business Data Insights Specialist
1 week ago
Chevron is seeking a highly skilled Data Analyst to join our team. As a key member of our organization, you will be responsible for gathering, analyzing, and problem-solving as it relates to data within a business system or IT system. Your expertise will provide valuable insights to drive business decisions.
Your Key Responsibilities:
Collect, process, and analyze large datasets using Microsoft Azure services (e.g., Azure Synapse Analytics, Azure Data Lake).
Develop and maintain dashboards and reports to visualize data insights using tools like Power BI.
Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
Perform data validation and ensure data accuracy and integrity.
Identify trends, patterns, and anomalies in data to support business decision-making.
Document data analysis processes, methodologies, and findings.
Stay current with industry trends and emerging technologies to ensure our data analysis practices remain cutting-edge.
Requirements:
Bachelor's degree in Data Analytics, Computer Science, Statistics, or a related field (or equivalent experience).
We are looking for mid to senior level Data Analysts with proven experience (at least 5 years) as a Data Analyst or similar role dealing with data and ETL processes.
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.
Collaborate within an agile mindset and seek/acknowledge diverse perspectives from others.
Strong knowledge of Microsoft Azure Services & Power Platform, including Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database.
Ability to optimize analytical reports for maximum speed, efficiency, and accessibility.
Proficiency in data visualization tools such as Power BI, Spotfire, Tableau.
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.
Proficiency in oil and gas workflows, business processes, and data types.
Data modeling techniques, data fluency and governance.
Fundamental knowledge of Information Risk Management (IRM).
Mentor junior data analysts and provide guidance on best practices.
Preferred Qualifications:
Microsoft Power BI Data Analyst certification (PL-300).
Strong understanding of the oil and gas industry.
Excellent written and verbal communication skills to effectively frame analytics opportunities and convey the findings of your analysis.
Ability to discover and prepare datasets into clean, understandable, usable datasets for data analysis.
Knowledge of scripting languages (e.g., Python, R) for data analysis.