Job Description

　　DESCRIPTION

　　Data Operations and Solutions Team (DOST), serves as a techno-functional team that drives data related projects and the overall data strategy for Finance. DOST owns and manages key Finance, Treasury and Risk data repositories support critical and regulatory processes across Finance, Treasury and Risk. The team also drives data solutions to ensure consistent use of authoritative sources of data, and implements effective governance and controls for management of data across the data supply chain. Lastly, the team represents Finance in Enterprise Data Governance initiatives and forums; provides oversight over data governance in Finance.

　　Responsibilities:

　　Design & implement Data models that can be used to various business purposes such as Analytics & ReportingDesign and build queries, reports, and dashboards using business intelligence tools adhering to established frameworks and standardsActively participate in and influence discussions around infrastructure needs, and designInterface directly with clients and project team members to understand the needs and objectives of the businessPerform data analysis to drive high quality data solutions that enable dynamic data analytics for our customersConsistently deliver high-quality business solutions and services to clients on scheduleBring structure to ambiguous business problems and recommend visualization solutions that can be easily interpreted by usersServe as end user support for the organizational user baseFollow, maintain and improve all documentation and procedures for report design and productionSponsor teamwork and encourage collaborationInfluence business process improvements by integrating data/tools with people/purpose and DART vision

　　Qualifications:

　　15 years of experience as a business/reporting analyst, in a dynamic business environment, with demonstrated reporting, analytical, and database experienceSelf-motivated, well-rounded, analytical self-starter with ability to work in a dynamic, collaborative, Agile team environment with aggressive deadlines, regular releases and multiple prioritiesSound understanding of best practices/ methodologies; experience with relational structures, structured query language (SQL), data warehouse and reporting techniquesProficient in programming languages such as Python, R, and SQL. They should also have experience with data analysis and visualization tools such as Tableau, PowerBI, or Excel.Ability to create information links, Document Properties, Property Controls in SpotfireStrong analytic skills with the ability to gather, synthesize, and organize data to solve complex problemsExcellent verbal, written communication and presentation skillsAbility to work collaboratively and effectively with business and systems personnel