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Overview Atlas is embarking on an exciting journey to build an in-house data lake to streamline and enhance our data management and reporting capabilities. 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. Job Description · 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. Requirements · Bachelor’s degree in Information Technology, Computer Science, Data Science, or a related field. · Minimum of 5 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 Technical Requirements · 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. Other Miscellaneous Qualities · 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.
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