Jobs in Belo Horizonte, Brasil

Business Data Analyst Remote – Brazil

Contract

Combination of IT and business experiences. Business focus areas include Supply Chain.

Work directly with the product managers & product owners for Business Requirements Gathering & documentation

Be part of Agile Product Delivery

Good to have Power BI, Snowflake, SAP ERP and SAP HANA, SQL knowledge

Leverage reporting Tools for Analysis like Office, Power BI etc

Develop roadmaps to drive the company forward

Act as a liaison across all areas such as business units, information technology, and outside customers by investigating relevant information and creating recommendations

Continuously refine Product Backlog Items together with the Scrum Team and other subject matter experts to ensure the team understands those items to the level needed for them to estimate and plan to work during sprint planning

Established background in launching software / solutions or services in partnership with business and engineering teams.

High degree of proficiency in wireframes, prototyping, iterative development, understanding of agile principles.

Ability to inspire a team to act as a small business jointly accountable for its product.

Experience successfully driving end-to-end delivery of highly innovative products, including a wide variety of mechanisms (e.g., digital core, dashboards, APIs, cloud, e-commerce, real-time alerts, artificial intelligence)

Outstanding organizational, communication, relationship-building, and collaboration skills at all levels

Sharp analytical and problem-solving skills, prioritization and time management skills

Understanding of cloud data lakes and data warehouse systems (systems and data)

Familiarity with MS Power BI for Business reporting and Self-service

Prior experience working for a global, highly matrixed, Consumer Packaged Goods company, preferably in the Supply Chain domains

Knowledge of the CPG market, industry trends, and customer needs to help inform the product vision and roadmap.

Experience creating automated data quality management rules