CONTD FROM H.10B responses and business metrics on cross channel data platforms.br br Education and Experiencebr br Bachelors degree or foreign education equivalent in Computer Science, Engineering, Engineering Management, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five 5 years of experience in the job offered or five 5 years of experience implementing, tracking, and reporting user behavior activity user responses and business metrics on cross channel data platforms.br br Or, alternatively, Masters degree or foreign education equivalent in Computer Science, Engineering, Engineering Management, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three 3 year of experience in the job offered or three 3 year of experience implementing, tracking, and reporting user behavior activity user responses and business metrics on cross channel data platforms.br br Skills and Knowledgebr br Candidate must also possessbr br Demonstrated Expertise DE analyzing, tracking, and reporting user behavior at every touchpoint, marketing campaign activity, and in market test on Web analytics and cross channel data platforms, using Qualtrics, Adobe Analytics, and Adobe Target; and leading marketing analytics to optimize digital marketing campaigns digital measurement and experimental design.br br DE developing key performance indicators to monitor retirement income product area progress using data preparation and visualization tools Tableau, Domo, Qlik, and Excel; and furnishing actionable insights that enable business decision making through 360 degree customer data mining using Cloud technologies Snowflake, Oracle, and Amazon Web Services AWS.br br DE querying data sets customer attributes and behaviors, transaction history, digital activity, call recordings, and business financials with 10 million records using analytical tools SQL, AWS Athena, R, and Python; and developing selfservice interactive dashboards to convey complex analyses to nontechnical audiences, using Business Intelligence BI tools Qliksense and Tableau.br br DE capturing customer feedback, using surveys, call recordings, and virtual assistant sessions, using Qualtrics, Nexidia, and Nuance; and generating actionable insights, using Natural Language Processing NLP, Clarabridge, Elastic Search, and Python.
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