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Key job responsibilities- Manage intake, coordinate and gather requirements from business partners to handle increased data volume and the demand for more cost-efficient and scalable data pipelines and tech solutions.
- Prioritize initiatives, design and implement technical solutions with appropriate strategies and design principles.
- Identify, design, and create data pipelines to feed BI tools and dashboards.
- Identify and develop metrics and KPIs, and translate them into insightful dashboards using BI tools (i.e. QuickSight).
- Data Warehousing & Data Engineering skills using AWS Services (S3, AWS Glue, Redshift, Lambda). API Data Ingestion
- Proficiency in SQL, Python (Java nice to have)
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- 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)
- Experience with SQL
- Experience in the data/BI space
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
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