ETL Data Engineer
Omni Inclusive
Job TitleCollaborate, produce, consult, and advise to enable teams to make data driven decisions that inform contact center strategyGrasp the nature of the problem/need and determine an analytical approachApply basic descriptive statistics and advanced statistical techniquesApply 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 analyticsIdentify and apply validation techniques before delivering insightsApply 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 environmentsApply knowledge of terminology, business rules, financial impacts, market results, and metrics/KPIs.Apply knowledge of USAA and CoSA strategy, operation, products, and stakeholdersCommunicate succinctly, clear and with impact, recognizing when insights are full vetted and truly ready for deliveryTell a story, including presenting information in a visually striking mannerMust have at least three years of independent experience in core knowledge and skills
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