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Top Data Analysis Developers with UpStack

Eduardo
Eduardo L.

Eduardo possesses over 20 years of professional software development background and has the experience and skills to fulfill both programming and data engineering roles. He enjoys building data processing pipelines as well as designing and developing software solutions using Golang, Python, and DevOps.

Michael
Michael G.

Michael is a Machine Learning Consultant and Educator with a technical focus on machine learning and statistical analysis using Python, R, SQL and Shiny. He provides expertise for machine learning, regression analysis and statistics, text mining and social media analysis, time series analysis, Shiny Web Applications and machine learning applications using frameworks such as Keras and TensorFlow. He is a keen researcher and participant in international machine learning conferences.

Andrzej
Andrzej S.

I am a seasoned Full Stack Developer with 10+ years of software development expertise; curating innovative software solutions on projects for clients. I have mastery in the use of React, Node.js, and JavaScript for the delivery of clean, well-written, and efficient codes on projects. I provide top-notch customer service on all solutions and projects for clients.

Alessandro
Alessandro G.

Alessandro is a versatile all-around DevOps Engineer with over a decade of industry exposure working in different roles — from IT support, to software design and development, to training and data management. He has principal technical skills in database administration and cloud computing; providing operations and project support for various group database technologies using industry-leading certifications in Oracle Database and Amazon Web Services.

Donatas
Donatas S.

I am a professional BI/Python Developer with 5+ years of technical expertise; curating innovative, performant and scalable solutions on projects with a tangible value for businesses. I have mastery in the delivery of solutions for web-based BI systems (Django/Flask), Data warehouse solutions, ETL pipelines, various API integrations, engaging visualisations (marketing funnel), and predictive analytics scripts.

Jacqueline
Jacqueline C.

Well-rounded Data Analyst with 2+ years of experience working with agile projects, Big Data, AWS cloud technology, and developing algorithms on Python or Spark for ETL. I am passionate about descriptive analytics, data visualization, and application of data analysis solutions towards Big Data. Proven experience in interpreting and analyzing data to drive growth for companies such as Santander, BNP Paribas, and Vivo.

Jamie
Jamie S.

Qualified Data Analyst with 4+ years of experience analyzing and interpreting data that enable companies to achieve successful business solutions. Supported client portfolios worth $250,000 – $250M, by automating queries & visualizing failures. I strive to implement effective analysis tools for complete insight into managing complex internal and external data. I am a strong believer in clear communication as being critical for a productive team.

Mariel
Mariel B.

Qualified Data Scientist specialized in Artificial Intelligence with 7+ years of experience in creative modeling of complex data for classification and prediction using Python and R. Mariel is proficient in Data Analysis and communicating results to audiences with diverse backgrounds. Contributed to multiple research projects, while being a Bioinformatics Ph.D. candidate in the School of Mathematics, Statistics and Applied Mathematics at the National University of Ireland - Galway with peer-reviewed publications in Artificial Intelligence and Bioinformatics.

Ahmet
Ahmet F.

Ahmet is a Senior Developer with hands-on backend development and team lead expertise, strong Python coding skills, and the ability to pick up new technologies and pitch in on story tasks for projects. He is familiar with object-oriented programming and distributed system designs for deploying backend packages to deliver client-facing and web-based applications.

Alex
Alex K.

Seasoned Data Engineer with 12+ years of experience working in various data engineering roles for companies that rely on a strong technology core, where the collection, management, and analysis of data play a key factor in their business model. Strong proficiency in Data Warehouse Architecture, Data integration / ETL&ELT development, Data back-end development, BI Reporting, Project Management, leadership in Agile SCRUM environments, Process tuning and optimization. Hands-on experience working on big data engineering in remote enviroments for global companies.

Hire Data Analysis Developers with UpStack

Hire a highly skilled Data Analysis developer and improve your company with UpStack. The proper candidate should be practical, experienced, responsible and receptive, or your project could get behind. UpStack resolves your hiring troubles by matching your company with vetted senior level Data Analysis programmers. Our highly effective matching process uses advanced artificial intelligence that finds your business an ideal prospect for your forthcoming project. Our blend of A.I. and personal interviews assures an incredible match for your development team. Our ultimate goal is to help you find a Data Analysis developer that can contribute to your organization right away. Through the years we have refined our hiring process, and is now trusted by top startups country wide. Begin your hiring process with UpStack now and start adding talented developers to your staff.

Hiring a Data Analysis developer with upstack couldn't be simpler with our capacity to intelligently match you to the right developer. With UpStack the hiring process is streamlined and takes hours instead of weeks to choose a Data Analysis programmer. Our matching program and expert team will save you time and gets any project started swiftly. UpStack has taken every consideration into account, from the developers availability to the time zone difference between you and the programmer. We're not searching for a good developer fit, we're looking for the perfect one. Simply tell us what skills you're searching for and an UpStack specialist will contact you, it's that easy.

They trust Our Data Analysis Developers

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Why hire a Data Analysis developer with UpStack

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    Top Data Analysis talent pre-vetted for a perfect fit.

    Our 8-point assessment evaluation ensures that every senior Data Analysis developer you interview exceeds expectations across technical, cultural, and language criteria.

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    Hire reliable, passionate Data Analysis developers.

    From late-night sprints to jumping on a last-minute face-to-face, we ensure that your recruits are down to get the job done right.

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    Risk-free 14-day trial.

    Confidently onboard candidates with our no-questions-asked trial period. We'll walk you through the contract-to-hire process if and when you're ready to make it permanent with your new Data Analysis engineer.

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    Our Client Success Experts provide white-glove service.

    Stay laser-focused on your business goals while our team of experts curates potential candidates and manages seamless programmer onboarding.

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    Build your optimal team confidently, quickly.

    UpStack handles everything including background and reference checks, legal issues, and more. Our platform streamlines billing, timesheets, and payment all in one easy-to-access place.

  • Schedule a call with a Client Success Expert to get starting hiring a Data Analysis developer.

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Hire from the Best.

Working with our Client Success Experts, we'll help you build the remote team of your dreams with top Data Analysis talent from around the world.

Pre-vetted, reliable Data Analysis developers are standing by.

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UpStack Platform for Hiring Data Analysis Developers
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Hiring Data Analysis Developers | FAQs

  • How much does it cost to hire a Data Analysis developer?

    UpStack has a simple billing model where each Data Analysis developer has a standard hourly rate averaging between $65-$75 per hour. Rates are based on skills, knowledge, and experience, and our developers are available mainly for full-time engagement (40 hours per week) and the occasional part-time opportunity (20 hours per week).

  • What is the process to find a Data Analysis developer?

    You'll connect with an UpStack Client Success Manager to determine your immediate needs. Our team uses a combination of AI and personal assessment to short-list candidates that match your job requirements. From there, you interview, select, and onboard the perfect developer, all within days of your initial call.

  • How does UpStack find its Data Analysis developers?

    UpStack's talent recruitment team connects with software developers around the globe every day. Each Data Analysis programmer is vetted for technical, communication, and other soft skills necessary for a developer to successfully work with your team. Once vetted, the candidates are accepted into the UpStack developer community.

  • How is UpStack different from an agency or recruiter?

    UpStack's community of available, pre-vetted engineering talent means minimizing roadblocks to scaling your team effectively, efficiently, and immediately. Our Client Success Experts work with you and your UpStack developer to ensure a smooth and seamless engagement.

  • Can I hire UpStack Data Analysis developers directly?

    Yes, you can hire UpStack Data Analysis developers at any time, and with the same assurance of smoothly on boarding talent risk-free. First, we'd create a job opening on our portal. Then, we'd vet, interview, and match developers that meet your needs. If you're satisfied at the end of the 14-day trial period, at any time you can directly hire them.