Senior Data Solutions Analyst: Operational Data & Reporting team

Description About the Team - USRM Data Office Ensuring that data is a competitive differentiator for our enterprise, the USRM Data Office sets strategic data product visions, governs data for quality and compliance, develops best in class data and reporting solutions, and continuously seeks to optimize the value that data creates for our customers and company. Our team includes data analysts, data stewards, data strategists, and data product owners - performance-driven individuals who make sure that data is appropriately leveraged across every layer of our business.The Operational Data & Reporting team within USRM Data Office is seeking a Senior Data Solutions Analyst focusing on delivering best in class data & reporting solutions and insights for a range of stakeholders within our Cross Functional reporting team, supporting Service. Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel. Responsibilities: 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 me