Data Analyst

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. A Data Analyst provides expertise on how Business workflows map to data, and how data can be integrated to build reusable data products. A Data analyst will serve as a subject matter expert for delivery teams.

The Data Analyst will support the analysis and visualization of data to provide valuable insights that drive business decisions. This role requires a strong understanding of data processing, reporting, and visualization tools, as well as a good working knowledge of Microsoft Azure Services and Power Platform. The ideal candidate will have hands-on experience with data modeling, creating dashboards, and leveraging cloud technologies for data management.

Key Responsibilities

• Analyze data to extract meaningful insights, trends, and patterns that can support decision-making across the organization.
• Develop and maintain dashboards and visualizations using Power BI, Spotfire, and Tableau to present data insights in an easy-to-understand format for stakeholders.
• Work with Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database to store, transform, and retrieve data efficiently.
• Assist in data preparation, cleaning, and integration activities for analysis, ensuring high data quality.
• Collaborate with data engineers, business stakeholders, and IT teams to understand data requirements and contribute to the delivery of data-driven solutions.
• Leverage Power Platform tools to automate tasks, create workflows, and enhance data analysis processes.
• Provide support for ongoing analysis and maintain documentation for data processes, reports, and dashboards.
  
  

• Experience: Overall 2-4 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).
• 0-5 years 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).
  
  

• Microsoft Power BI Data Analyst certification (PL-300)
• Ability to discover and prepare datasets into clean, understandable, usable, datasets for data analysis.
• Cloud Certifications: Certifications in Microsoft Azure (e.g., Azure Data Fundamentals, Azure Data Engineer Associate) are preferred.
• Experience with ETL Tools: Exposure to ETL tools and data integration techniques.
• Advanced Analytics: Experience or knowledge of machine learning or advanced analytics is a plus.
• Scripting Languages: Basic understanding of scripting languages such as Python or R for data analysis.
  
  

Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00AM to 5:00PM or 1:30PM to 10:30PM.