Epb - Chattanooga, TN
posted 2 months ago
The Data Warehouse Analyst II will play a crucial role in leveraging data from both internal electric and fiber-related systems as well as external sources to address various business and operational inquiries. This position requires a comprehensive understanding of the data lifecycle, including the gathering of requirements, designing analytical approaches, testing, and delivering actionable insights. The analyst will be responsible for translating complex data into meaningful information that can guide strategic business decisions. Additionally, the role involves monitoring performance metrics and quality control plans to identify areas for improvement, ensuring that the data used is reliable and accurate. In this position, the analyst will gather analytic requirements from various business and operational stakeholders, designing and implementing analytic approaches using a variety of tools. Ownership of data quality and reliability is paramount, as the analyst will need to assess the ranges of uncertainty surrounding analytic results. Collaboration with different departments is essential to define core metrics, measure impacts, optimize efficiencies, and identify opportunities for growth while assessing potential risks and explaining trends that drive customer and revenue growth. The Data Warehouse Analyst II will apply strong business judgment to data analysis, making and defending meaningful conclusions and recommendations. Utilizing statistical methodologies, the analyst will create algorithms for analyzing large datasets, while also inspecting, cleaning, transforming, modeling, and integrating data from diverse sources. Performing root cause analysis on data anomalies will be necessary to identify areas for business and operational process improvements. The role also includes implementing quality assurance procedures to ensure data accuracy and the integrity of results, as well as creating documentation that allows stakeholders to understand the data analysis process and replicate it if needed. Furthermore, the analyst will serve as a resource for analytics within the organization, providing expertise to assist users in meeting their analytical needs, maintaining a data dictionary and metadata, and offering training and guidance to other analysts.