Key job responsibilities
Design, implement, and support a platform providing ad hoc access to large datasets.
Manipulate/mine data from database tables (ex. Redshift, MySQL, Oracle) using SQL and ETL
Manipulate/mine data from log files by writing scripts (ex. PERL, Python, UNIX)
Develop analytical tools: deep-dive tools, UIs, metrics, and dashboardWork with cross functional stakeholders in defining the source of truth and obsessively making sure the data fidelity is high.
Effectively communicate (written and verbal) solutions and methodologies to senior leadership.Complete ad hoc data retrieval and analysis.
Monitor existing metrics, develop and propose new metrics, and identify new, actionable risk signals.A day in the life
Develop reporting and dashboards that solve real world problems.Build and deliver high quality data solutions to support data scientists, engineers and analysts.
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 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
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