Senior Business Intelligence Engineer, LATAM Marketplace
Amazon
- Ciudad de México
- Permanente
- Tiempo completo
- Learn and understand a broad range of Amazon's data resources and know how, when, and which to use.
- Work closely with the team to understand business challenges and provide data/analysis for better decision making.
- Design and create the reports and metrics for tracking business and product success.
- Build self-service reporting platforms, establishing automated processes for large scale data analyzis.
- Understand and write high quality SQL queries to retrieve and analyze data.
- Extract, Transform and Load data to build new reporting solutions.
- Manage the local data infra-structure, as well as work with Global teams to assure data is consistent and accurate.About the team
LATAM Marketplace BI team is responsible for ensuring our stakeholders and leaders have the data they need to make data-driven decisions and drive the success of our business.
We are structured into verticals (business topics) and promote knowledge sharing in between those topics every week.
In our team, a Business Intelligence Engineer can be responsible for 1 or more business verticals, driving his BI projects end to end, this involves: setting up the BI roadmap, managing stakeholders, diving deep on data for that topic and designing and building SQL Tables, KPIs, reports, dashboards and analysis.We are open to hiring candidates to work out of one of the following locations:Mexico City, DIF, MEXBASIC QUALIFICATIONS- 6+ years of SQL experience
- Experience working directly with business stakeholders to translate between data and business needs
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience building measures and metrics, and developing reporting solutions
- Experience managing, analyzing and communicating results to senior leadershipPREFERRED QUALIFICATIONS- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
- Knowledge of data warehousing and data modeling
- Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.