CONTD FROM H.10B visualizations within a direct to consumer financial services environment using Tableau.br br Education and Experiencebr br Bachelors degree or foreign education equivalent in Computer Science, Engineering, Information Technology and Management, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three 3 years of experience in the job offered or three 3 years of experience developing big data analytical strategies, transformations, and visualizations within a direct to consumer financial services environment using Tableau.br br Or, alternatively, Masters degree or foreign education equivalent in Computer Science, Engineering, Information Technology and Management, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and one 1 year of experience in the job offered or one 1 year of experience developing big data analytical strategies, transformations, and visualizations within a direct to consumer financial services environment using Tableau.br br Skills and Knowledgebr br Candidate must also possessbr br Demonstrated Expertise DE performing data mining in Hadoop and HIVE; performing data analytics of retail and workplace customer data channels, interactions, products, segments, and sales activities in Alteryx; scheduling workflow jobs using Alteryx Server; and debugging and generating reports using Domo;br br DE performing data transformations and modelling, and developing data processes for ETL in Alteryx to support and inform business decision making within a direct to client financial services company finance, distribution, products, segments, market insights, and sales and services domains;br br DE gathering stakeholder requirements, and sourcing and developing analytical strategies using gap analysis in Jira; performing data extraction and analytics from large data warehouses using SQL; migrating data from Oracle to Snowflake; stewarding and uploading business terms into Collibra; and creating user stories, epics, and acceptance criteria using Jira;br br DE performing data analytics to develop comprehensive management sales reporting, dashboards and stories in Tableau; coordinating business requirement planning sessions to analyze business, functional, and technical requirements to produce selfservice scorecards in SAP Business Objects; building dashboards and stories in Domo, using compensation, sales, and interactions data to enable sales management to stack rank account executives and assist in compensation and performance ratings.
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