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