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[Remote-Position] Data Analyst Work from Home Jobs

Remote role Full-time Open position

Unlock your potential with a new role at workwarp as a Data Analyst Work From Home! The role is situated in Remote, offering a fantastic work environment. This position requires a strong and diverse skillset in relevant areas to drive success. Earn a reliable and steady income of a competitive salary.

 

 

About Turing.com: Turing’s mission is to unleash the world’s untapped human potential. We use AI to source, evaluate, hire, onboard, and manage engineers remotely (including the HR and compliance aspects) in a bigger platform that we call the “Talent Cloud”. We recently achieved unicorn status with a valuation of $1.1B, after raising over $140M in financing over four rounds of funding. 900+ companies including companies like Johnson & Johnson, Pepsi, Dell, Disney +, and Coinbase have hired Turing developers. About the role: We, at Turing, are looking for talented data analysts to assist in data analysis and delivering data insights to help organizations in making informed decisions. Here’s your chance to get the best data analyst work from home jobs and accelerate your career while working with the leading Silicon Valley companies. Job Responsibilities - Implement the latest techniques to analyze and extract data and uncover growth prospects - Define, create, and manage efficient data cleansing and processing - Create databases, supervise data accumulation, and write scripts to continue flexible data evaluation procedures - Work closely with stakeholders and technical teams to establish essential metrics and KPIs - Deliver actionable information to various stakeholders to help them make well-informed decisions - Analyze quantitative data, prepare reports, and present results - Develop, implement, and maintain advanced data analysis systems to address complex issues Minimum Requirements - Bachelor’s/Master’s Degree/MA or Ph.D. with a focus in Business, Math, Economics, Finance, Statistics, Science, or Engineering - 3+ years of professional experience as a Data Analyst (rare exceptions for highly skilled candidates) - Experience with data mining, data models, segmentation techniques, and database design development - Ability to structure, analyze, and extract data according to business requirements - Strong understanding of data querying languages (e.g. SQL), or statistical/mathematical software (e.g. R, SAS, MATLAB) - Applied statistics or experimentation (i.e. A/B testing) experience in an industry setting - Expertise in programming languages and frameworks, such as Python, JavaScript, XML, and ETL - Fluency in English to collaborate with engineering managers - Work full-time (40 hours/week) with a 4 hour overlap with US time zones Apply Job!

 

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