Endereço- You build mid-size to large BI solutions or components of larger solutions. Your focus is at the team level, working on a major portion of existing or new BI artifacts (e.g., contributing to the team’s datamart) or owning a difficult report or analysis. You solve difficult problems that are loosely defined or structured. You are a significant contributor and can deliver with limited guidance. Your work is consistently of high quality. You have a deep understanding of data lineage of your team’s BI solutions: the technical systems by which the data is generated; how the metrics are aggregated; and how the resulting business intelligence is consumed, interpreted and acted upon by the business.
- You are able to apply a broad range of data design approaches as they relate to analytics. You know when it is appropriate to use them (and when it is not). You do things with the proper level of complexity the first time (or at least minimize incidental complexity). You apply appropriate technologies and follow best practices. You understand the technologies behind your team’s data infrastructure, and you balance customer requirements with these technology constraints.
- You collaborate with customers and other internal partners to refine the problem into specific deliverables, and you understand the business context well enough to recommend alternatives and anticipate future requests. In addition to stakeholders, you may work with partner teams (business and technical) and Data Engineers/Data Scientists/BA/SDES/other BIEs to design and deliver the right solution. When the business requires finer detail than established reports provide, you minimize bottlenecks and may choose to advise your customers on self-service access to underlying data. You communicate the findings from your deliverables to your customers in an appropriate manner. We are open to hiring candidates to work out of one of the following locations: Sao Paulo, SP, BRA- Experience analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
