IT Data Analyst

Overview

We are seeking a detail-oriented and analytical IT Data Analyst to join our team. The successful candidate will be responsible for analyzing and interpreting complex data, providing actionable insights, and supporting decision-making processes. The candidate will work closely with various departments to ensure data integrity and optimize the use of data-driven technologies, including Power BI and Azure Data Lake. The IT Data Analyst reports to the IT Director, Enterprise Applications.

• Bachelor’s degree in Information Technology, Computer Science, Data Science, or a related field.
• Minimum of 7 years of experience in data analysis or a related role.
• Strong analytical and problem-solving skills.
• Excellent communication skills, both written and verbal.
• Ability to work independently and as part of a team.

• Proficiency in Microsoft Power BI for data visualization and reporting.
• Experience working with Azure Data Lake for data storage and management.
• Strong SQL skills for querying and manipulating data.
• Knowledge of data modeling and ETL processes.
• Experience transforming datasets using Azure Databricks.
• Experience with programming languages such as Python or R.
• Familiarity with data warehousing concepts and tools.
• Experience with data governance and data quality principles.

• Strong attention to detail and accuracy.
• Ability to manage multiple tasks and meet deadlines.
• Proactive and self-motivated with a continuous improvement mindset.
• Aptitude for learning new technologies and staying current with industry trends.
• Strong interpersonal skills and ability to collaborate with cross-functional teams.
• Experience as a business analyst is preferred.
• Ability to travel up to 25% of the time.

• Analyze and interpret complex data sets to provide actionable insights and recommendations.
• Develop, maintain, and optimize Power BI reports and dashboards for various stakeholders throughout the organization.
• Manage and maintain data integrity within Azure Data Lake.
• Collaborate with IT and business teams to define data requirements and ensure data accuracy.
• Perform data cleansing, transformation, and integration tasks.
• Support data governance initiatives and ensure compliance with data policies.
• Provide training and support to end-users on data tools and technologies.
• Stay current with industry trends and best practices in data analysis and data management.