Job Description
Overview The main objective for the FOBO Sr. Data Analyst is to support the IT Product Owner and Business Product Owner to help advance the data discovery efforts for new implementation and improvements in existing data flows and business processes to identify improvement opportunities and to provide support for governance, adoption and business engagement for all markets. globally,( all International Sectors + Domestic Sectors). The role will support the deployment of FOBO to the LAB markets including FOBO for AI a new product that will deploy to 120+ markets and also require ongoing sustain support. This role will be responsible for supporting the day-to-day business needs to ensure governance of the solution as well as data discovery to support new implementations Responsibilities • Work collaboratively as a key member of the FOBO Product Team to ensure features and user stories required from Global Planning and Sector teams are well-understood and translated into the FOBO solution design • Collaborate with Sector IT Teams, Mosaic PGT and CTO team on build out and integration of FOBO to new markets and enhancements of FOBO to existing markets • Support the deployment of the FOBO solution roadmap for PBNA and PFNA • Support the sustain and minor enhancements for existing FOBO markets in Europe, AMESA, APAC and LATAM • Ensure SPOT solution design can support the predicted growth in data volumes to support the Global footprint • Support FOBO Product Owner to ensure continuous business capability and enhancements are made available using the Scaled Agile Framework Qualifications Minimum 8-10 years prior experience with data warehouse development, data modeling, data discovery, and or data transformation • Minimum 4 years experience delivering finance solutions, with a solid knowledge of FP&A processes and terminology • Minimum 2 years prior experience of implementing solutions in data centrics soltions and or design with an emphasis in Finance business areas Strong analytical skills with demonstrated ability to interpret business requirements into performant business solutions • Ability to solve medium complexity problems with little to no direction from management • Knowledge of Scaled Agile Framework • Ability to quickly adapt in a dynamic, fast-paced, customer, focused work environment characterized by rapid change, minimal lead times, and multiple competing priorities • Deep understanding of both the Finance FP&A processes& data, as well as the IT technology platforms • Ability to actively participate in complex technology discussions, and in complex finance process discussions. • Deep knowledge and understanding of databases, data structure, data transformation & data flows. • Deep knowledge and understanding of the following technologies, and specifically how deliver using these technologies within PepsiCo: Teradata, Alteryx, Azure Data Lake, Tableau & Power BI
