Data Solutions Analyst / Sr Data Solutions Analyst (Corporate Finance)

Candidates will be considered for the appropriate level depending upon experience and qualifications. We are excited to add a new Data / Sr Data Solutions Analyst to the Corporate Financial Data Strategy and Governance Team! This person will act as financial data steward for Liberty Mutual’s financial data. Working with the Business, IT and Corporate Finance, this person will help shepherd data through our strategic data platform Financial Data Resources (FDR). This will include analysis of source data to determine the transformation needed to standardize and defining the financial data that will be passed to downstream systems and reporting. Responsibilities: Under limited direction, prototypes/develops data solutions of high complexity to meet the needs of the organization and business customers. Designs proof-of-concept solutions utilizing an advanced understanding of financial insurance knowledge and multiple coding languages to meet technical and business requirements, with an ability to perform iterative solution testing to ensure specifications are met. Outstanding organizational skills and ability to manage multiple priorities while maintaining attention to detail and ensuring tasks are completed accurately and timely. Designs and develops data solutions that enables effective self-service data consumption and can describe their value to the customer. Assists stakeholders in defining metrics that are impactful to the business. Prioritize efforts based on customer value. Can set expectations for deliverables of high complexity. Works with IT to help scale prototypes. Maintains proof-of-concepts and prototype data solutions, and handles any assessment of their viability and scalability, with own team or in partnership with IT. Working with IT, assists in building robust systems focusing on long-term and ongoing maintenance and support. Ensures data solutions include deliverables required to achieve high quality data. Display a basic understanding of complex multi-tier, multi-platform systems, and applies principles of metadata, lineage, data dependencies and hierarchy, business definitions, compliance, and data security to project work. Demonstrates an understanding of new technologies as needed to progress initiatives.