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?

Elite US jobs

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

Career growth

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

Exclusive developer community

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.

No, the service is absolutely free for software developers who sign up.

Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

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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.

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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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briefcase
Staff Software Engineer, AI


About the Client

Founded by engineers from  Stanford, Cisco Meraki, and Samsara, we are one of the fastest-growing Video AI companies in the U.S., transforming standard cameras into powerful AI tools that elevate safety, security, and operations for businesses nationwide. In just four years, we have processed more than 1  billion hours of video, and today ingest more daily new videos than  YouTube. Our industry-leading Video AI agents are changing physical operations and defining what video AI can accomplish for physical  operations. We are challenging and disrupting the $30 billion video surveillance market with a plug-and-play camera agnostic solution that is expanding use-cases beyond traditional security. Our approach has fueled fast adoption across 17 industries, powering nearly 1000  businesses and over 70,000 camera feeds. Our exceptionally talented team has created a high growth trajectory that has attracted almost $100 million in investment from top venture firms, including  Redpoint, Scale Venture Partners, Bessemer, StepStone and Qualcomm.



About the Role

We are looking for like-minded builders. We are an extremely passionate and ambitious team building a company designed to outlast our lifetime. No  matter the role or level, we’re looking for more teammates who share the same  high-performance mindset:

  • Relentless Drive: You have extreme ambition and something to prove. Challenges fuels you. Building isn’t just what you do; it’s who you are.
  • Builder’s Mentality: You  thrive on creating new solutions, not maintaining the status quo. If  you've founded a company, been employee number 1 - 20, or have run a  venture for over two years, we’re especially excited to meet you!
  • High Hustle, High Humility: You combine high IQ with high EQ, a low ego, and an unyielding work ethic that pushes you to be among the best at what you do.

Our cultural pillars guide how we operate. We:

  • Spend Strategically. We maximize resources and minimize waste.
  • Push for Progress. We make decisions, move fast, and celebrate action.
  • Obsess Over Customers: We remove friction and add value to create delight.
  • Trust Our Team: Respect, trust and collaboration are non-negotiable.
  • Act Like Owners: We say what we’ll do, and we do what we say, taking pride and responsibility in our work.
  • Never Stop Having Fun: We’re creating something epic, and we’re having fun doing it.


Who you are

  • You are self-motivated and accountable. You  excel with ownership and autonomy, producing high quality outcomes with  minimal direction and oversight. You have strong intuition on what's  most important to work on, and can focus on the most critical items.
  • You are a balanced visionary. You  contribute to strategy with an ability to see the big picture, while  also appreciating details with a drive to make meaningful, hands-on  contributions.
  • You are a humble expert. You  bring strong expertise and nuanced perspectives on the latest AI  technology, while staying open to new ideas and new ways of doing  things. You focus on getting it right in a team setting, rather than  being right.
  • You strive for the next level. You’re ready to stretch your impact and influence and are ready to take on larger scale challenges and/or act as a mentor.
  • You bring rich AI experience. You  have a strong background in AI, ideally with video processing  experience, however, experienced practitioners in AI can adapt as  necessary. You understand classic deep learning techniques, from YOLO to  transformer models to linear classifiers. Yet, you also have experience  with the latest AI foundation models, from embeddings to LLMs and  prompt engineering.
  • You are a creative thinker and problem solver. You  naturally think outside the box to solve new sets of customer problems,  even with few resources. You have a keen eye and technical frameworks  for setting an AI technical direction based on customer context.
  • You bring high-scale technical excellence. You  deeply understand software design, architecture, big-data processing  pipelines, and best practices on systems design + scalability, code  quality, and data/model design. You appreciate the finer details, such  as edge model optimizations, vector indexes and how they work, or how to  design a maintainable data schema. You’ve designed and led complex  systems, shaped multi-team architectures, and created frameworks that  prevent defects and improve validation across products.
  • You’re a debugging and operational excellence expert. You adopt observability tools, tackle unfamiliar codebases, and develop  resources like runbooks to prevent issues. You have an eye for  impending technical issues or optimization opportunities, and  architectural improvements that could be made to increase overall  engineering productivity.
  • You’re a technical leader. You  understand the skill and personal strengths of team members,  effectively mentoring them and placing engineers into the projects that  make them and the company successful
  • You bring 6+ years in software engineering, with significant expertise in AI plus a strong track record in high-quality system delivery.


Responsiilities

You’ll  play a critical role in advancing our capabilities, using your AI  expertise to drive innovative solutions for businesses with physical  environments—from manufacturing plants to car dealerships. Leading the  design and integration of AI-driven features, you’ll elevate both new  and existing products, focusing on scalable, real-world applications  that improve safety, operations, and efficiency. Working closely with  cross-functional teams, you’ll apply cutting-edge AI techniques to  transform video data into actionable insights that empower our clients.  By setting standards in AI reliability and performance, you’ll ensure  Spot AI’s product suite consistently delivers high-impact outcomes.



What excites you:

  • Working  on and thinking about the latest models across multiple domains, such  as Dinov2, CLIP, GPT4o/Gemini. Applying these models to real world  physical problems to enhance safety, operations, and efficiency.
  • Working  with a datastream of over 200k datapoints and embeddings a second,  wrangling this into actionable insights with fast and accurate queries.
  • Helping  to democratize and educate about the latest foundational models to  customers and team members, helping them share your vision of what AI  can do for the world.
  • Working with a global, several thousand  node distributed hybrid edge-cloud, processing millions of hours of  video a day.A place that gives you the room to learn from failure while  driving excellence.
  • Advancing our AI’s product capabilities  by applying cutting-edge AI techniques, helping transform video data  into powerful, real-world solutions for our clients.
  • Designing  and implementing AI-driven features across new and existing products,  with a focus on scalability and tangible value for diverse industries.
  • Diving  into complex challenges in video intelligence, using your expertise to  bring actionable insights to businesses in physical environments.
  • Collaborating  closely with cross-functional teams to build tools and frameworks that  set a new standard for AI performance and reliability in our industry.
  • Mentoring and guiding other engineers to foster collaboration and innovation that increase project impact.
  • A culture where hard work that drives great outcomes is expected, celebrated, and rewarded.
  • A place where you can make industry-wide impact and contribute to one of the most exciting technologies of our time

Offer Details

  • Full-time contractor (no benefits)
  • Remote only, full-time dedication (40 hours/week)
  • 6 hours of overlap with Pacific Timezone
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork
Business Services
11-50 employees
PythonPyTorchTensorflow
briefcase
Senior Java Engineer – Snowflake Integration

Job Title: Senior Java Engineer – Snowflake Integration

Experience: 6–10 Years
Location: Gurugram
Work Mode: Hybrid (3 Days Work From Office)

Job Overview

We are looking for a Senior Java Engineer with strong experience in Java 17+, backend system development, and Snowflake integration, to build and maintain enterprise-grade data and transaction systems in the BFSI domain. The role involves working on high-scale, secure, and compliant platforms handling critical financial data.

Key Responsibilities

  • Design, develop, and maintain scalable backend services using Java 17+
  • Integrate Java applications with Snowflake Data Cloud for analytics and reporting use cases
  • Build and optimize data pipelines between transactional systems and Snowflake
  • Design and consume RESTful APIs for internal and external integrations
  • Ensure data security, governance, and compliance as per BFSI standards
  • Optimize application performance, scalability, and reliability
  • Collaborate with data engineering, DevOps, and product teams
  • Participate in architecture discussions and technical design reviews
  • Support production systems and perform root cause analysis when required

Mandatory Technical Skills

Core Java & Backend

  • Strong hands-on experience with Java 17 or higher
  • Deep understanding of OOP, multithreading, concurrency, and JVM internals
  • Experience with Spring / Spring Boot
  • Strong experience building RESTful microservices
  • Experience with Hibernate / JPA

Snowflake & Data Integration

  • Hands-on experience integrating applications with Snowflake
  • Strong understanding of:
    • Snowflake architecture and data storage concepts
    • Virtual warehouses, databases, schemas
  • Experience using Snowflake connectors (JDBC/ODBC) from Java
  • Knowledge of data ingestion and transformation patterns
  • Understanding of SQL optimization in Snowflake

Databases

  • Strong experience with RDBMS (PostgreSQL / Oracle / MySQL)
  • Advanced SQL skills and performance tuning
  • Experience handling large datasets and analytical queries

Cloud, DevOps & Tools

  • Experience with cloud platforms (AWS / Azure / GCP)
  • Familiarity with Docker and containerized deployments
  • Experience with CI/CD pipelines
  • Working knowledge of Linux environments
  • Experience with version control systems (Git)

BFSI Domain Experience (Mandatory)

  • Proven experience working in Banking, Financial Services, or Insurance
  • Understanding of:
    • Transaction processing systems
    • Data privacy and regulatory compliance
    • Security standards (encryption, access control, auditing)
  • Experience working on high-availability, mission-critical systems

Soft Skills

  • Strong problem-solving and analytical skills
  • Ability to work independently with minimal supervision
  • Excellent communication skills
  • Experience collaborating with cross-functional teams
  • Ownership mindset and attention to detail

Good to Have

  • Experience with event-driven architectures (Kafka / MQ)
  • Exposure to data warehousing or analytics platforms
  • Experience with Agile / Scrum environments
  • Knowledge of financial reporting or risk systems

Ideal Candidate Profile

  • 6–10 years of backend development experience
  • Strong Java 17+ expertise with enterprise application exposure
  • Hands-on Snowflake integration experience
  • Solid BFSI domain background
  • Willingness to work 3 days from Gurugram office
Finance
10K+ employees
Core JavaSpring BootOOP+ 2
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