100% REMOTE - Business Analyst -PST Time Zone
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Special Needs: Candidate must have statistics background and experience with experimentation / AB testing (in addition to SQL and Tableau skills). What you'll get to do...Support GoDaddy growth by understanding business leaders' goals and objectives, developing analytic requirements, providing answers to business questions, making recommendations, and joining forces in driving business improvement and optimization Use data to tell a story. Conduct in-depth analytics to identify actionable insights, suggest experimentation ideas, make recommendations, and influence the direction of the business by effectively communicating findings to global cross-functional groupsEvaluate and advise on the design of the on-going A/B or multivariate testings performed by the USI core product team. Provide sample size and power analysis for these tests and perform statistical analysis on experiment performance and impact. Perform statistical or predictive analysis to explore the relationship among various metrics throughout the customer journey from engagement, activation, to conversion and renewal.Build sophisticated SQL queries, dashboards in tableau and be able to handle exploratory and broad analysis with limited supervisionYour experience should include...5+ years of relevant work experience in an analytics role working with online, customer-facing productsAdvanced degree in a quantitative field or a Bachelor's degree in a quantitative field.Proficiency in SQL. You need to be super comfortable with pulling, joining, re-shaping and analyzing large, disparate and highly sophisticated datasetsExperience with data visualization tools Tableau and presenting reports in Tableau dashboardsExpert knowledge of statistical techniques such as linear regression, correlation and hypothesis testingWorking knowledge of A/B testing in the context of developing productsExperience with at least one scripting language like Python / R. General programming proficiencyTrack record of projects spanning the full analytics lifecycle: ideation, data preparation, insights generation and modeling, operationalization, pre-post results tracking and quantification of business valueThe ability to work autonomously and make critical decisions independently. Proven communication and collaboration skills; willingness to take the initiative to contribute beyond basic responsibilitiesCan-do attitude and learner mind set, eager and willing to explore new business/technical areas and dive deep.You might also have...Postgrad degree in Statistics