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Data analyst jobs in top US companies

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.

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Job description

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
  • 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
  • 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

Preferred skills

  • Strong analytical abilities, including the ability to gather, organize, analyze, and distribute large volumes of data with precision and attention to detail
  • Expertise in relevant fields of technical writing, including reports, inquiries, and presentations
  • Excellent interpersonal and collaborative skills
  • Strong analytical abilities, including the ability to gather, organize, analyze, and distribute large volumes of data with precision and attention to detail
  • Expertise in relevant fields of technical writing, including reports, inquiries, and presentations
  • Excellent interpersonal and collaborative skills

Interested in this job?

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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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