Turing’s AI-powered deep-vetting talent platform helps you hire top data analyst from a global pool of highly-skilled remote developers. Join Turing and unleash the world’s untapped human potential.
Data Analyst
David has an experience of 15 years in software engineering. He is focused on creating highly efficient, optimized and structured software solutions to meet the business needs.
Data Analyst
Ahmed is a software engineer with 12+ years of intensive experience guiding the progress of analysis, design, development, and testing of multiple applications through all stages of development cycles, as well as instructional experience with end-users and students.
Data Analyst
Murat is a quantitative analyst with over 10 years of experience in data engineering, data science, and software engineering. His specialties include financial services, asset valuation, pricing, analytics, modeling, risk management, etc.
Data Analyst
Dion is a data engineer/analyst with 10 years of experience in developing data-centric applications. He has previously worked on designing data pipelines, data system architectures and ETL. He has significant experience working in startups and fast-moving teams with fixed deadlines.
Data Analyst
Amine has more than 3 years of experience in the fields of quantitative analysis and information technology. He is skilled in technologies like Python, MATLAB, Regression, etc.
Turing has been providing us with top software developers in Latin America. All our other vendors combined don't have the headcount that Turing does.
We hired about 16 ML engineers from Turing which reduced our hiring effort by 90% as compared to other vendors.
We're super excited about Turing as we will scrap our existing lengthy interview process and lean on Turing's vetting to build up teams on demand.
4 days
to fill most roles,
sometimes same day.
50+ hours
of engineering team time
saved per developer on interviewing.
97%
engagement
success rate.
We’ll schedule a call and understand your requirements.
Get a list of pre-vetted candidates within days.
Meet and select the developers you like.
Start building with a no-risk 3 week trial period.
Modern business requirements have significantly changed the working model of many tech giants. Companies around the world are constantly working to collect and analyze data to find new opportunities and grow their businesses. Increasing the use of data-driven approaches allows enterprises to use real-time market data to optimize and change their strategies at any time. Out of the several data science domains, data analysis and data collection have become the most critical domains.
The ability to analyze and collect data that meet the business goals can significantly benefit the organization. It helps companies use databases to manage and optimize the flow of information between teams across different departments and units. In addition, it helps eliminate redundancy that interferes with the data-sharing platforms. Therefore, companies must hire data analysts who can drive change to leverage the latest data solutions and improve operational structures.
Data analysis has opened up many new possibilities in the business world. From rapidly expanding existing operating models to rethinking business strategies, data analysts significantly impact a company's growth. The need is even more important when a rapidly-growing organization or company seeks to reform itself. One of the biggest benefits of hiring a data analyst is the development and configuration of the latest data analysis tools quickly. In addition, analysts with in-depth knowledge of the industry can modify these tools to adapt to changing market trends.
But even with the rise of data science, finding the right individuals can be a hassle, especially for companies looking to hire remote data analysts to work in globally distributed teams. Identifying the right talent without technical knowledge can be a disadvantage for recruiters.
So what is the solution? Is it possible to hire a data analyst cost-effectively and without compromising on quality?
The answer is yes.
Turing helps businesses hire experienced remote data analysts. We vet data analysts by testing their expertise in data collection, statistics, modeling tools, data mining, programming/debugging software, machine learning, NLP, security, anomaly detection, time series prediction, and more.
As remote work requires strong soft skills, our vetting process ensures that the developer has excellent communication, collaboration, and problem-solving skills. Hence, when you decide to hire data analysts, you just need to share your requirements, and our deep-vetting talent platform will help you hire talented analysts to spin up your engineering dream team.
Companies can now hire top data analysts and build a team of elite developers in just 4 days with Turing.
Including top companies backed by: