Sr. Data Analyst & Tableau SME

Sr. Business Intelligence Analyst (SQL & Tableau SME) We are unable to support C2C rate structures • Rate: 75 /hr. (W2 ONLY) • Contract Length: 6 + month contract to (hire + multi-extension capability • Location Expectations: Plano, TX - onsite • Ability for Conversion & Extension: YES Why Join Us Our client is a global leader in technology, opening new possibilities for people everywhere. Since being established in 1969, Our Client has grown into one of the world’s leading technology companies, and has become recognized as one of the top 10 global brands. Through relentless innovation and discovery, they are transforming the worlds of TVs, smartphones, wearable devices, tablets, cameras, digital appliances, network systems, and much more. Position Summary • Our client is seeking a Sr Level BI Data Analyst to become the Tableau SME and support the Data analysis of the e-commerce, retail, and customer support operations domain • Business Intelligence Analyst proficient in SQL, Python, and Tableau. Candidates should demonstrate the ability to create interactive dashboards and visualizations that drive business decisions. This role plays a crucial part in developing impactful and engaging dashboard solutions that drive customer service strategy. Primary Responsibilities • Expert in Tableau and can craft jaw-dropping dashboards that wow stakeholders and inform strategic decisions. • Solid coder using either SQL & (Python/Spark/R) to deploy data solutions or data products into production. • Uncover actionable insights from data and convey these insights to the business as stories that stick. • Interface with leadership and team members to get clarity on your requirements, end goals, and deliverables. . Preferred Qualifications • Requires 7-10 years of experience, particularly within customer service operations. • Must have GCP and SQL, and Tableau experience • You have 3-6 years of experience in Customer Service functions for consumer products, retail, tech, telecom, or financial industries. • You have 2-4 years of experience in a Big Data environment, specifically Hive/Spark, where you have worked on solutions that scale smoothly on high-volume (1TB+) & high-dimensionality (500+ variables per schema) data. • You have worked with massive structured/unstructured data sets before. • MS or BS in Mathematics, Computer Science, Engineering, or Economics (required) #IND