Remote data analyst jobs

We at Turing are looking for data analysts who can analyze data to extract data insights for helping businesses in the decision-making process. Come and be a part of the top 1% of business analysts and grow with the best minds

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Job description

Job responsibilities

  • Analyze and extract data using modern tools
  • Define, develop, and maintain efficient data cleaning and processing protocols
  • Analyze and fix corrupted data
  • Build databases, perform data acquisition, and write scripts to maintain flexible and scalable data evaluation processes
  • Collaborate with management and engineering teams to identify critical metrics and KPIs
  • Provide actionable insights to different stakeholders to help them make informed decisions
  • Perform quantitative data analysis, write reports, and present findings
  • Determine and execute data acquisition and integration logic to ensure optimal performance and scalability of the systems

Minimum requirements

  • Bachelor’s/Master’s Degree/MA or Ph.D. with a focus on Business, Math, Economics, Finance, Statistics, Science, or Engineering
  • 3+ years of professional experience as a Data Analyst (rare exceptions for highly skilled candidates)
  • Strong understanding of data mining, data models, segmentation techniques, and database design development
  • 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 skills with the ability to collect, organize, analyze, and disseminate significant amounts of data
  • Technical writing expertise in related areas, including reports, queries, and presentations
  • Great collaboration and interpersonal skills

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How to become a data analyst?

Data is increasingly being used by businesses across all industries to make crucial business decisions. They also use data to discover inefficiencies and other issues the firm must address.

The data analyst's job in these organizations is to assign a numerical value to these critical business functions to measure performance and compare over time. However, a data analyst's job is more than just looking at numbers: they must also understand how to use data to help a business make better decisions.

What is the scope of data analyst jobs?

There's no denying that businesses are going digital and have much room to develop. And data is fuelling this expansion. Big data has aided businesses in making better-informed decisions and launching best-in-class products and services that have been widely accepted in recent years. If you're not sure how serious corporations are about data analytics, according to Analytics Insight: the worldwide data analytics industry, valued at USD 37.34 billion in 2018, is predicted to increase at a CAGR of 12.3% (from 2019 to 2027) to reach USD 105.08 billion. With such massive valuations, it's easy to see how data analytics will grow.

Data scientists and data engineers are among the most in-demand career specialties today. Every industry has opened its doors to data analytics jobs, including banking and insurance, retail, healthcare, information technology, and telecommunications.

What are the roles and responsibilities of a data analyst?

In general, a data analyst job’s tasks are as follows:

  • Creating and maintaining data systems, databases, and other data-related issues.
  • Using statistical methods to analyze data sets, focusing on trends and patterns, could be useful for diagnostic and predictive analytics.
  • Preparing executive reports that use pertinent data to express trends, patterns, and projections effectively.
  • Identifying potential for process improvements, recommending system upgrades, and developing data governance policies in collaboration with programmers, engineers, and organizational executives.
  • Creating suitable documentation and enabling stakeholders to comprehend the data analysis process.

How to become a data analyst?

Data analytics jobs may be found in various industries, and there are several ways to get your first job in this high-demand field. Here are some stages of getting a data analyst job, whether starting professionally or switching careers. Here's how to get started if you're interested in a career in this in-demand area.

  • If you're new to data analysis, you should begin by learning the basics. A thorough understanding of data analytics will help you decide if this is the right career while providing you with marketable abilities.
  • Getting a remote data analytics job usually necessitates specialized technical abilities. You'll likely need these essential abilities to get hired, whether learning through a degree program, a professional credential, or on your own.
  • Working with data in real-world contexts is the best approach to learning how to find value in it. Look for degree programs or classes that include real-world projects and data sets. You can also use a range of freely available public data sets to create your projects.
  • Save your best work for your portfolio as you experiment with data sets online or complete hands-on projects in your classes. To hiring managers, a portfolio illustrates your abilities. A great portfolio can help you land your dream job.
  • It's easy to get caught up in the technicalities of data research but remember your communication skills. Presenting your findings to decision-makers and other stakeholders in the firm is an important part of working in a data analyst job. You can assist your organization in making data-driven decisions if you can convey a story with the facts.
  • It's time to polish your resume and apply for entry-level data analyst jobs after you've gained some experience dealing with data and presenting your findings. Be bold and apply for jobs you need to be qualified for. Your qualifications, portfolio, and excitement for a position are frequently more important than checking every bullet item on the qualifications list.
  • Consider how you'd like to improve in a data analyst job and what other certifications you'll need to get there as you go. Certifications such as the Certified Analytics Professional or the Cloudera Certified Associate Data Analyst might help you qualify for more advanced jobs with greater pay.

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Skills required to become a data analyst

The first step is to learn the core skills that will help you land a high-paying data analyst job. Let's take a look at what you should be aware of.

1. Database tools

Any data analyst's toolkit should include Microsoft Excel and SQL. While Excel is commonly used across industries, SQL can handle larger data sets and is usually considered a must for data analysis.

2. Programming languages

You can manage massive volumes of data and solve complex equations if you learn a statistical programming language like Python or R. Although Python and R are among the most popular, it's a good idea to look at multiple job descriptions for a position you're interested in to see which language will be most useful in your business.

3. Data visualization

Being great in a data analyst job requires presenting your findings clearly and persuasively. Knowing how to show data in charts and graphs so your co-workers, employers, and stakeholders can understand it. Among the various programs used to create graphics are Tableau, Jupyter Notebook, and Excel.

4. Statistics and math

Understanding the fundamentals underlying what data tools accomplish will greatly assist you in your work. A thorough understanding of statistics and math will aid you in determining which tools are appropriate to employ to tackle a certain problem, detecting flaws in your data, and comprehending the results.

5. Problem-solving

A data analyst job requires a thorough awareness of the problem and the question being asked. The ability to spot patterns or trends that could lead to a result is also a must. You'll be able to focus on the proper types of data, detect the most revealing methods of analysis, and spot holes in your work if you have critical thinking skills.

6. Communication

Communicating your thoughts to others will be critical to your success in a data analyst job. Data analysts’ jobs require strong written and oral communication skills to communicate with co-workers and other stakeholders.

7. Industry knowledge

Knowing about the industry you’re looking to work in, such as healthcare, business, finance, or anything else, will give you an edge at work and job application. Take some time to keep up with industry news or read a book on the subject if you're seeking to break into a specific industry. This can familiarize you with the industry's major concerns and trends.

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How to get remote data analyst jobs?

Data analysts must practice successfully and regularly to excel at their profession. They must also put in sufficient effort to improve their abilities over time. In that sense, there are two important things that data analysts must focus on for that growth to occur: the assistance of someone more experienced and the use of more effective practice techniques. You must know how much to practice as a data analyst, so ensure you have someone to assist you and watch for signs of burnout!

Turing has the top remote data analyst jobs that fit your goals. Working on difficult technical and business problems with cutting-edge technologies will help you grow quickly. Get a full-time, long-term remote data analyst job with higher income and career progression by joining a network of the world's greatest developers.

Why become a Data Analyst at Turing?

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Long-term opportunities to work for amazing, mission-driven US companies with great compensation.

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Work on challenging technical and business problems using cutting-edge technology to accelerate your career growth.

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Join a worldwide community of elite software developers.

Once you join Turing, you’ll never have to apply for another job.

Turing's commitments are long-term and full-time. As one project draws to a close, our team gets to work identifying the next one for you in a matter of weeks.

Work from the comfort of your home

Turing allows you to work according to your convenience. We have flexible working hours and you can work for top US firms from the comfort of your home.

Great compensation

Working with top US corporations, Turing developers make more than the standard market pay in most nations.

How much does Turing pay their data analysts?

Every data analyst at Turing is free to determine their own rate. Turing, on the other hand, will recommend a wage at which we are confident we can offer you a rewarding and long-term opportunity. Our suggestions are based on our analysis of market conditions and the demand we perceive from our clients.

Frequently Asked Questions

Turing is an AGI infrastructure company specializing in post-training large language models (LLMs) to enhance advanced reasoning, problem-solving, and cognitive tasks. Founded in 2018, Turing leverages the expertise of its globally distributed technical, business, and research experts to help Fortune 500 companies deploy customized AI solutions that transform operations and accelerate growth. As a leader in the AGI ecosystem, Turing partners with top AI labs and enterprises to deliver cutting-edge innovations in generative AI, making it a critical player in shaping the future of artificial intelligence.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

Our unique differentiation lies in the combination of our core business model and values. To advance AGI, Turing offers temporary contract opportunities. Most AI Consultant contracts last up to 3 months, with the possibility of monthly extensions—subject to your interest, availability, and client demand—up to a maximum of 10 continuous months. For our Turing Intelligence business, we provide full-time, long-term project engagements.

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LLM Trainer - Computer Usage Data Collection

About Turing:

Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems.

Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.


Role Overview

We are developing a computer usage dataset to train intelligent systems that understand how users interact with software applications. As an LLM Trainer (Computer Usage Data Collection), you will record your screen while performing detailed, multi-step computer-based tasks — such as configuring applications, exploring tools, or completing productivity workflows.
Your recordings will be annotated and used to help train models that interpret and predict user workflows, enhancing the realism and usability of AI assistants.


What Does Day-to-Day Look Like

  • Record your screen activity while completing assigned computer-based tasks.
  • Carefully follow step-by-step documentation to complete each task accurately.
  • Ensure all recordings are high-quality, complete, and free from interruptions.
  • Label or verify events (clicks, keypresses, actions) as instructed.
  • Maintain accuracy and consistency in file naming and documentation.
  • Adhere to strict privacy and data-handling protocols.

Types of Tasks

You will perform tasks across diverse software domains, such as:

  • Education & Productivity: Using learning or organizational tools.
  • Software & Development Environments: Setting up or configuring tools (no coding required).
  • Data & Analytics: Working with dashboards or monitoring interfaces.
  • Creativity Tools: Using design or visualization applications.
  • General Workflows: Everyday tasks like browsing, file management, or configuration settings.
Note: The specific tools and environments will vary widely — adaptability and willingness to learn new interfaces are key.

Requirements
  • Computer with Mac or Linux operating system and 8GB RAM or higher.
  • 2+ years of experience with any programming language preferably Python
  • Strong ability to follow detailed written documentation and execute steps precisely.
  • Comfort with navigating various software applications and interfaces.
  • Basic technical literacy — ability to install or configure software using provided guides.
  • Basic coding knowledge and familiarity with environments such as Visual Studio or PyCharm preferred.
  • Excellent attention to detail and consistency in recording and labeling.
  • Reliable computer and stable internet connection.
  • Commitment to confidentiality and secure data handling.

Perks of Freelancing With Turing:

  • Work in a fully remote environment.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details:

  • Engagement  type  : Contractor assignment (no medical/paid leave)
  • Duration of contract : 1 month; [expected start date is next week]

Evaluation Process :

  • 1 round of take home assessment
Telecommunications
10K+ employees
Python
briefcase
Backend Engineer (Golang / Python / Kafka)
About the Client

Our mission is to bring community and belonging to everyone in the world. We are a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet.

Role
Campaign Management team's goal is to uplevel and expand the core functionality related to creating and editing ad entities seen across the platform. It is important that our advertisers are able to efficiently and  effectively create, adjust, report, and measure their ads in the most  intuitive way possible. Our team not only builds new products on the Ads platform but we also  support other teams building their products on top of our platform. We  expect our engineers to take ownership and have pride in the work and  support we provide.


Key Responsibilities
  • Design and maintain scalable backend services that power the entire advertising stack
  • Own critical systems including Python, Go, and Kafka infrastructure
  • Own the developer tooling and testing framework that enables team velocity
  • Architect APIs and data models that other teams across Reddit depend on
  • Ensure 99.9%+ uptime for services handling high-volume campaign operations
  • Build monitoring, alerting, and operational tooling for mission-critical advertising infrastructure


Qualifications for this role:

  • 5+ years building scalable backend systems in production environments
  • Strong experience with Python and/or Go
  • You love diving deep into problems, understanding them from all  angles, talking to stakeholders, and designing elegant solutions.
  • You get excited by the prospect of deep-diving into performance  issues, finding the root cause, and implementing solutions that have  impact across the application.
  • Deep understanding of distributed systems, databases, and API design
  • Experience with cloud platforms (AWS/GCP) and infrastructure as code

Platform Mindset:

  • Track record of building systems that other engineering teams depend on
  • Experience with service-oriented architecture and microservices patterns
  • Understanding of operational concerns: monitoring, logging, alerting, and debugging
  • Passion for code quality, testing frameworks, and developer tooling
  • Background in ad tech or developer experience (preferred)


Offer Details


  • Full-time contractor or full-time employment, depending on the country
  • Remote only, full-time dedication (40 hours/week)
  • Required 4-6 hours overlap with PST (Pacific Standard Time)
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork
Media & Internet
251-10K employees
GoApache KafkaPython
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