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We need an expert at deep data diving statistical analysis of designed experiments,financial planning, and execution strategy. This position has high levels of exposure to senior members of AHS.Key job responsibilities
• Work with the various stakeholders across the AHS organization to understand business drivers, goals and actionable outcomes of large scale customer experiences.
• Construct and execute robust analyses that lead to actionable insights for Product and Marketing leaders to act upon. Work independently to identify objectives and problem solve alternative ways to efficiently execute.
• Design, execute, and manage the profiles to execute the analyses with the latest data management and statistical tools and languages (e.g. SQL, ETL, Quicksight, AWS Redshift, Redshift Spectrum, S3, Python, R)
• Design, implement, and support tools that can provide structured access to large datasets across the entire AHS organization and beyond.
• Employ data mining, segmentation, and other analytical techniques to capture important trends in the customer base.
• Model data and metadata to provide product and marketing insights
• Effectively communicate the inisights and suggested action items to senior leadership
• Participate in strategic and tactical planning discussions interface with business customers, gathering requirements and delivering complete reporting solutions
• Develop interactive dashboards, reports, and analysis templates using AWS and open source tools.
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
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