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Tableau Data Visualization Engineer

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This TOP social media company in Menlo Park, CA is looking for exceptionally talented and experienced BI Tableau Developer to join Marketing Intelligence team. This team provides scaled insights for advertisers globally, and partners with key stakeholders including Sales, Market Science, Product Marketing, Marketing, Product, BI, Ads Engineering and Sales IT teams. They seek a highly-motivated professional with experience in BI operations, business requirements gathering, data integration, report and dashboard development, data modeling and KPI analysis. This is a contract position.

Key responsibilities:
• Apply your expertise in quantitative analysis, data visualization and data-engineering to tell the story behind numbers
• Provide business leads with actionable insights around performance and adoption of existing and newly developed tools and services
• Understand regional and vertical nuances of market and develop metrics based dashboards that surface in-depth actionable insights
• Conceptualize and build dashboards that are simple, visually appealing, yet showcase a powerful story
• Think and work independently, demonstrate creativity and deliver quick results, yet demonstrate a team-player attitude

Requirements:
• Bachelor's or Master's degree in an analytical field (e.g. Marketing/Marketing Science, Computer Science, Mathematics, Statistics, Finance or Economics)
• Proficient in Tableau and SQL
• 4+ years' experience, with 2+ years of work experience in Tableau, SQL and data analytics
• Experience with building performance dashboards and scorecards
• Experience building visualizations in Tableau Desktop and using features such as filters, parameters, table calculations
• Experience publishing to Tableau Server, setting appropriate security and permissions
• Worked on data visualization and BI platforms, and excel at optimizing dashboards for performance, availability and scalability
• Experience in Python and building data pipelines a big plus
• Demonstrated problem solving ability with experience providing practical business insights from large, complex data sets
• Fast learner; achieve power-user status on multiple tools quickly

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