As a Business Intelligence Engineer, you will own partnering with data engineering and software engineering teams to drive best-in-class business intelligence solutions at scale. You will work with structured and unstructured data sources to develop deep business insights and architect key business metrics. You will partner with scientists to build forward-looking data experimentation, predictive modelling, and machine learning algorithms. The role is cross functional and will require working closely with a wide variety of stakeholders including senior members across engineering, product, business leadership, and economics/data science teams.
Key job responsibilities:
- Drive the design, development, and maintenance of innovative and scalable intelligence solutions across the organization, with the highest standards of analytical rigor and data integrity.
- Develop domain expertise and drive major contributions to our data and research roadmap. Leverage SQL, ETL, Redshift, and other available tools to uncover deep business insights, trends, and opportunities to innovate on behalf our customers.
- Partner with data engineering to build best-in-class data architecture and pipelines to support analytics needs.
- Translate ambiguous business problem statements into actionable analytical solutions. Manage large scale data requests and projects to define requirements, manage timelines, and coordinate activities with other involved team members.
- Partner with scientists to translate business insights and trends into experimentation and testing, and modelling.
Basic qualifications
- 3+ years of analysing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quick sight, or similar tools.
- Experience with data modelling, 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 modelling.
- Experience with SQL
- Experience in the data/BI space
Preferred qualifications.
- 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.