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Key job responsibilities
- Design, develop and deploy innovative and scalable analytics solutions for complex and ambiguous problems
- Leverage data modeling, reporting, and predictive analytics techniques to surface meaningful insights and opportunities- Build automated dashboards and self-service analytics tools to empower decision-makers with actionable insights
- Research, recommend, and implement cost reduction and optimization opportunities
- Support the continued development of data infrastructure
- Excellent problem-solving, task prioritization, and communication skills- Ability to manage through conflict with a positive, flexible and professional attitude
- 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 one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Master's degree in statistics, business analytics, data analytics, data science, computer science or related field
- 5+ years in relevant experience as business intelligence engineer, data scientist, data engineer, software engineer, or equivalent.
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