<p>Employee Type: Regular Required: Bachelor's Degree and 2-3 years of Data Analysis experience. Experience in project management environment. Strong problem formulation, analytical and problem-solving skills, with the ability to communicate in a clear and succinct manner. Moderate to Strong knowledge of SQL, Oracle Databases, query generation, modification and extraction. Dashboard and visualization experience in Tableau, Power BI, Qlik Sense, Python or related industry visualization software. Use Microsoft 365, Power Apps other software as needed to Develop and Implement Metrics and Dashboards. Gather, cleanse, curate and standardize data to support sustainable and scalable data interaction, analysis and insight development. Analyze large and complex data sets and support end-users by enhance information through developing visualizations through dashboards, metrics and user interfaces. Build analytic capabilities and modify existing tools/programs to grow the organizations knowledge and accommodate change. Perform necessary data mapping, data lineage activities, document information flows and process diagrams. Build data models and business glossary by gathering information from multiple sources such as business users, existing data sources, databases and other relevant documents and systems. Serve as data and metric processing subject matter expert also demonstrating and understanding key data management principles. Work diligently in software development processes, software requirements, software maintenance and analyzing information. Perform business and/or technical analyses to understand current customer environments (including discrepancies and inconsistencies), define customer needs, determine potential strategies, and deliver plans/proposals for process improvement opportunities and/or projects. Conduct detailed analysis using established statistical methods and develop predictive models. Experience compiling data for analysis and metrics, working with data analysis methodologies, and supporting tools, Experience using statistical or mathematical techniques. Improve efficiency by streamlining processes and automating redundant tasks using Power BI, Power Automate and available technologies.</p>