Data Analyst Jobs

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 competent data analysts who can analyze data and derive data insights to assist organizations in making decisions. Here?s your chance to get the best data analyst jobs and accelerate your career while working with the leading Silicon Valley companies.

Job Responsibilities -

• Utilize current techniques to analyze and extract data in order to uncover growth prospects
• Define, create, and manage data cleaning and processing processes that are efficient
• Examine and correct data that has been corrupted
• Create databases, oversee data gathering, and write scripts, to maintain flexible and scalable data evaluation procedures
• Work with management and technical teams to establish essential metrics and KPIs, as well as their analytical requirements
• Provide actionable information to various stakeholders to assist them in making well-informed decisions
• Analyze quantitative data, prepare reports, and present results
• Develop, deploy, and manage cutting-edge data analysis systems to address complex issues
• Determine and implement data acquisition and integration logic to guarantee optimal performance and scalability of the systems

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, or a Business Analyst (rare exceptions for highly skilled candidates)
• Strong understanding of data mining, data models, segmentation techniques, and database design development
• Ability to structure, analyze, and extract data according to business requirements
• Experience with 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
• Experience with 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!