Finance Data & Analytics Specialist

About the role

The Finance Data & Analytics team within the GBS organization develops analytics solutions for financial processes globally. The Finance Data & Analytics Specialist builds solid analytics models for key finance processes, builds a strong network with key stakeholders and acts as the primary contact for finance divisional teams and other stakeholders. The position is based in San Jose, California.

Key responsibilities

• Counsel stakeholders on business problems and the data needed to support solutions
• Identify data sources and the transformations needed to make data fit for purpose
• Collaborate with the Finance Data & Analytics team to model data and design structures and processes
• Analyze and evaluate the business processes that generate the data sources
• Own applications and underlying data products and use them to solve additional business problems
• Extract, transform and load financial data for analytics models, including BAU activities and new enhancements
• Coordinate information with the Global consolidation and technology group (FinDnA, FSA and HANA environment)
• Support and standardize reports across Business Services Centers so they measure services provided to all markets in line with the Global Process Owner strategy
• Support ad-hoc analysis requests driven by the business

Required profile

• Bachelor's degree or higher in Mathematics, Statistics, Economics, Business Information Systems, Computer Science/MIS, Finance/Accounting, Engineering or Science
• Minimum of 3-4 years of relevant experience in financial reporting, planning and analysis
• Fluency in English
• Strong interpersonal communication and organizational skills, attention to detail, willingness to learn, self-motivated and able to challenge the status quo
• Willingness and ability to travel internationally for meetings and workshops

Required skills

• Microsoft Power BI (DAX, Power Query, RLS, Dataflows, Reports, Workspaces, Parameters)
• ETL tools such as Alteryx or Matillion
• SAP software domain
• SQL and data modeling
• Interpretation of data through statistical methods and data visualizations
• PC skills: MS Excel, Word, PowerPoint