Summary :

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.

Required Qualifications :

- Overall 2 to 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.

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.

- Data modeling techniques, data fluency, and governance.

- Proficiency in Oil & Gas workflows and data types.

- Strong analytical and problem-solving skills with attention to detail and accuracy.

- Experience with Python for data wrangling.

- Fundamental knowledge of Information Risk Management (IRM).

Preferred Qualifications :

- Microsoft Power BI Data Analyst certification (PL-300).

- 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.