Skills required Experience with coding in R, Python, SQL, and PySpark. Experience using cloud technologies such as GCP, AWS, Hive, Spark. Experience analyzing large data sets using SQL, Teradata, SAP HANA, excel, etc. Experience building algorithms in python and automating process to improve efficiencies. Experience with data wrangling, data extraction, data mining and exploratory analysis. Experience developing data pipelines for data warehousing and performing ETL processes. Experience creating executive level dashboards and scorecards using Tableau, Power BI. Experience building mathematical and data science models using Python and R. Experience with program and project management and driving analytical solutions by working crossfunctional and keeping track of completing timelines. Experience with Profile data sources, reverse engineer complex ETL processes, and produce source to target mapping. Experience writing SQL scripts with proficiency in SQL. Experience in analytics. Employer will accept any amount of experience with the required skills.br br Continuation of Section H.4B Major field of study Business, Engineering, Information Systems, Statistics, Economics, Analytics, Mathematics, Finance or related field.br br Continuation of Section H.8 alternate combination of education and experience that is acceptable Bachelors degree or equivalent in Business, Engineering, Information Systems, Statistics, Economics, Analytics, Mathematics, Finance or related field and 2 years of experience in data analysis, data science, statistics, or related field.br br Continuation of Section H.10B acceptable alternate occupation Position does not require specific years of experience in an alternate occupation but requires experience with the skills listed in H.14.
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