ETL Data Engineer

Job Description:
Collaborate, produce, consult, and advise to enable teams to make data driven decisions that inform contact center strategy
Grasp the nature of the problem/need and determine an analytical approach
Apply basic descriptive statistics and advanced statistical techniques
Apply knowledge of diverse programming skills (SQL, Python, ETL/ELT, Java, etc.) 
Apply knowledge of platforms (e.g. datastage, Control M, Jupyter Notebooks, Snowflake, DBT (data build tool), etc.)
Apply knowledge of stream processing (e.g. Kafka, Kinesis, etc.) (for emitting data out – nice to have)
Apply qualitative/categorical analytics
Identify and apply validation techniques before delivering insights
Apply knowledge of diverse data applications and data visualization tools and techniques (e.g. Tableau, Streamlit, Lumira, etc.)
Apply knowledge of data sets, data sharing guidelines and environments
Apply knowledge of terminology, business rules, financial impacts, market results, and metrics/KPIs.
Apply knowledge of USAA and CoSA strategy, operation, products, and stakeholders
Communicate succinctly, clear and with impact, recognizing when insights are full vetted and truly ready for delivery
Tell a story, including presenting information in a visually striking manner
Must have at least three years of independent experience in core knowledge and skills

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