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Hire the Top Freelance Analytics Developers in the World

Top Analytics Developers with UpStack

Esraa
Esraa G.

Esraa is a Senior Android Developer with 6+ years of experience building high-quality Android apps, adhering to deadlines and business requirements for a broad range of industries. She has worked with different architectures like MVC, MVVM, and MVP, building apps with Java or Kotlin. Esraa is dedicated to continuously developing and implementing innovative mobile applications following the Agile Scrum process to guarantee project delivery on time.

Rajeev
Rajeev K.

Rajeev is passionate about data and machine learning and has more than five years of experience in data science projects across numerous industries and applications. He's currently focused on cutting-edge technologies such as TensorFlow, Keras, deep learning, and most of the Python data science stack. Rajeev has used these skills to solve many real business problems in NLP, image processing, and time series domains.

Luka
Luka K.

Luka is a talented and experienced iOS Developer skilled in Swift, Xcode, iOS, Cocoa Touch, Firebase, UIKit, and a lot of different frameworks and tools. He has worked on multiple iOS projects including the Smallpdf app with 1 million active monthly users and Truthify, an app for emotion recognition. Luka loves crafting apps with quality code and intuitive UIs so that people can seamlessly integrate the product into their daily life.

Jamal
Jamal A.

Jamal is an expert React Native Developer and problem-solver who builds applications and designs and implements solutions for different platforms. He innovates using the latest technology trends and delivers highly scalable, testable, and documented solutions on projects. Jamal is up to date on technology changes within his space, leveraging them on diverse solutions.

Arthur
Arthur F.

Arthur has over 15 years of experience in software development and system analysis and seven years working with SQL and data analysis. He's experienced with Oracle, BigQuery, Snowflake, and other data sources. He also has a solid DBT, Python, data engineering, and business intelligence background. In addition to excellent relationships with work teams and customers, Arthur is very committed, adaptable, and creative.

Jakob
Jakob S.

Jakob is an Engineer turned Data Scientist and Machine Learning Engineer, with proficiency in Python and its frameworks. He has the ability to transform a sea of data into actionable insights that can have an impact on businesses and projects- from building predictive models for various types of cancer detection, to setting-up consumer facing models in the transportation and entertainment sectors, as well as the financial industry. In his role as an Educator in the Data Science and Data Analytics programs, he has shown great communication and mentorship skills, having encouragingly guided his students to achieve high-level technical skills and great professional performance in the industry.

Leonardo
Leonardo P.

Leonardo is an accomplished senior software engineer with an extensive background spanning over six years. His expertise lies in the realm of Node.js and JavaScript back-end development, complemented by proficiencies in front-end development and DevOps practices. Leonardo boasts a remarkable portfolio, having successfully constructed enterprise-grade applications and design systems for prominent entities such as Philips, Napster, the Brazilian Sabemi Insurance Company, and Granero. Committed to professional growth, he possesses an unwavering passion for assimilating novel business models, mastering cutting-edge technologies, and driving digital transformations. Notably, Leonardo's profound industry acumen is underscored by the attainment of a bachelor's degree in computer science.

Dumky
Dumky D.

I am a Senior Analytics Engineer with responsibilities and accountabilities for strategically transforming business data, complex analytics implementations, data integrations and creating analytics tools on projects - providing a holistic end-to-end approach to deliver universally available solutions to users. I have a high commitment to quality and thrive in a fast-paced environment - working with different data analytic paradigms, tools and techniques.

Krishna
Krishna S.

I am a Data Scientist at Toptal, where I apply my curiosity and passion for analytics and machine learning to solve challenging problems in e-commerce, marketing, and natural language processing (NLP). With four years of experience in machine learning, including having been a part of the analytics division of JP Morgan Chase & Co., I have developed and deployed data-driven solutions for various clients across different domains and industries. Some of the projects I have worked on include building an NLP pipeline in Python using Keras to extract and summarize opinions and feedback from customer product reviews, performing market mix modeling, demand forecasting, and A/B testing analytics to optimize spending, supply chain, and marketing funnel, and building data pipelines and dashboards in AWS, GCP, and Tableau to provide actionable insights and data-driven decision making. I have a strong engineering background, with a Bachelor of Technology in Electrical and Electronics Engineering from the Indian Institute of Technology Gandhinagar, one of the premier institutes in India. I have also completed multiple certifications in machine learning, Python, and software testing from Coursera, Udemy, and ISTQB. I am a great communicator, enthusiastic developer, and a lifelong learner. My goal is to leverage data and machine learning to create value and impact for businesses and society.

Antonio
Antonio C.

Antonio is an experienced UI/UX Designer producing high-quality UI/UX solutions using modern product design and design thinking processes. He conceptualizes strategies to deliver wireframes, visual and graphic designs, flow diagrams, storyboards, site maps and prototypes - producing iterative UI elements and tools on digital assets. He seeks to gain insight into modern design trends and incorporate best practices into design solutions on projects.

Hire Analytics Developers with UpStack

Hire a highly skilled Analytics 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 Analytics 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 Analytics 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 Analytics 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 Analytics 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 Analytics Developers

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Why hire a Analytics developer with UpStack

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    Top Analytics talent pre-vetted for a perfect fit.

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

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    Hire reliable, passionate Analytics 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 Analytics 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 Analytics 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 Analytics talent from around the world.

Pre-vetted, reliable Analytics developers are standing by.

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UpStack Platform for Hiring Analytics Developers
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Hiring Analytics Developers | FAQs

  • How much does it cost to hire a Analytics developer?

    UpStack has a simple billing model where each Analytics 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 Analytics 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 Analytics developers?

    UpStack's talent recruitment team connects with software developers around the globe every day. Each Analytics 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 Analytics developers directly?

    Yes, you can hire UpStack Analytics 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.