Data Scientist / Business Intel Engineer
Role details
Job location
Tech stack
Job description
You are good at:
Working on complex loosely defined analytics problems and defining the teams Business Intelligence (BI) strategy. Delivering independently, and influencing the organizations BI architecture
Providing analytics solutions for complex business problems. Building analyses/solutions that are robust, extensible and scalable. Communicating effectively with management audiences (e.g., narratives, inputs into Business Reviews). Refining Business Intelligence strategies that cross teams and making technical trade-offs for long term/short-term needs.
Designing and implementing technical solutions with an appropriate analytics strategy and data set design. Understanding system limitations, scaling factors, boundary conditions, and/or the reasons for technical decisions
Providing analyses, frameworks and solutions that inform multiple teams business decisions and highlight new opportunities
Driving best practices in operational excellence, data modelling, and analysis
Requirements
Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
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Experience with data visualization using Tableau, Quicksight, or similar tools
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Experience with data modeling, warehousing and building ETL pipelines
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Experience in Statistical Analysis packages such as R, SAS and Matlab
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Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
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Experience with SQL
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Experience in the data/BI space
PREFERRED QUALIFICATIONS
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Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
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Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Redshift, Oracle, NoSQL, Tableau, Quicksight, R,Python