Senior Data Solutions Analyst: Operational Data & Reporting team

Design and develop scalable data solutions with a focus on reusability that enable effective self-service data consumption. Independently works on highly complex assignments and prototyping/developing data solutions that meet the needs of the organization and business customers. Coding scalable proof-of-concepts and solutions. Stay informed on advancements in data engineering, business intelligence, evaluate new tools and recommend adoption where appropriate. Identify opportunities to apply Gen AI for data discovery, lineage summarization, automated documentation, query generation and developer productivity (prompt engineering and code generation) Designs proof-of-concept solutions utilizing and advanced understanding of multiple coding languages to meet technical and business requirements with an ability to perform iterative solution testing to ensure specifications are met. Strive to become a technical leader and mentor for the team, providing assistance & guidance to junior team members Design and develops data solutions that enable effective self-service data consumption and can describe their value to the customer. Identifies and utilizes best practices and iterative testing to ensure requirements are met. Prioritizes efforts based on customer value and can set expectations for deliverables of high complexity. Able to lead projects and collaborate with stakeholders to ensure effective project execution. Optimize and tune processes for performance, scalability, reliability and cost-efficiency Ensure data solutions include activities and deliverables required to achieve high data quality and displays a strong understanding of complex, multi-tier, multi-platform systems, applying principles of metadata, lineage, business definitions, compliance and data security to project work. Develop subject matter expertise and business knowledge required for the assigned reporting suite Strong written and oral communication skills required Bachelors Degree in Computer Science, Computer Engineering, or related discipline preferred Masters in same or related disciplines strongly preferred 3-5 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in NoSQL implementation, ETL, Java, scripting languages (Python, Perl, Shell), and the Hadoop stack