Position Overview We are seeking a skilled Senior Data Analyst to support data-driven initiatives across technology platforms. This role is responsible for determining and documenting data usage, identifying data gaps, creating master data categories, and enabling analytics through data and process mining. The ideal candidate will have strong experience in data visualization, coding, and cross-functional collaboration. Job Responsibilities Develop and support capabilities across various platforms using tools and languages such as SQL, Tableau, Power BI, and Celonis. Build new visualizations and functionality to support data-driven decision-making. Document requirements through business partner conversations and translate them into technical specifications. Apply and promote coding standards and best practices in development efforts. Conduct comprehensive testing, including local, end-to-end, and integration test cases. Create technical documentation for developed solutions and maintain records in enterprise repositories. Present functional demos to business and technology stakeholders. Troubleshoot and debug issues across data platforms and infrastructure. Participate in the design and implementation of business functionality and platform enhancements. Lead the identification and federation of master data categories and create golden records. Perform metadata collection and map data lineage from source to target. Support data quality initiatives through stewardship programs. Collaborate with business and technical data stewards to curate data sets. Conduct data mining and analysis to identify process inefficiencies and data gaps. Map dataflows and business process flows for better traceability and optimization. Train business partners on data cataloging, workflows, and application usage. Lead major project initiatives and facilitate cross-functional meetings. Mentor junior data analysts and conduct code reviews. Define and implement coding standards and data SLAs/SLOs. Perform root cause analysis for critical support issues. Stay current on emerging tools, releases, and best practices to enhance data operations. Basic Qualifications Bachelor's degree (or equivalent experience) in Computer Science, Information Technology, or related field. SQL and relational databases ETL processes and data modeling Data visualization (Power BI, Tableau) Exploratory data analysis and statistics Master data management and data cataloging Process flow documentation and analysis Process/data mining tools (e.g., Celonis) Preferred Qualifications Strong leadership and mentoring capabilities Excellent verbal, written, and interpersonal communication skills High attention to detail and analytical mindset Ability to explain technical concepts to non-technical audiences Strong organizational and project management skills Customer-centric with a focus on service excellence Strategic thinking with an ability to prioritize valuable initiatives over interesting ones We are proud to offer a competitive salary alongside strong healthcare insurance and benefits package. The role is hybrid, with 3 days per week spent in the client's Knoxville office, and flexibility for client engagement needs. We pride ourselves on the growth of our employees, offering extensive learning and development resources. ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse and inclusive environment. We encourage qualified applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education levels to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know. #J-18808-Ljbffr