Your trusted source for top remote Data analytics developers — Perfect for startups and enterprises.
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Vetted Data analytics developer in Australia (UTC+11)
With 8 years of coding experience and a high interest in providing a high level of service, I excel in problem solving and matching requirements to get a projects finished to high standards.
Vetted Data analytics developer in Australia (UTC+11)
Senior solutions architect, with a focus on backend, cloud, e-commerce and analytics. Strong commercial and GTM strategy exp.
Data analytics developer in Australia (UTC+11)
Data scientist and insights engineer with 10+ years of experience in delivering executive insights from large and complex data sets to drive financial, operational, and customer experience benefits. Highly skilled across the full data to insight lifecycle from data sourcing, storage, and management; through to processing, analysis, insight development, and insight communication. Experienced with key concepts in maximizing value from large data sets, such as advanced statistical analysis, machine learning, and AI. Expert level user of a range of tools in data management and insights such as Pycaret, TensorFlow, Power BI, Tableau, Hadoop, Spark, Databricks, SQL server, Teradata, Oracle, R, RStudio, Python, and advanced Excel.
Data analytics developer in Australia (UTC+11)
A skilled professional offering over 20+ years of experience in driving innovative concepts and expanding horizons through future based strategies and technological advancements, covering Key Industry Verticals – Energy & Utilities, Mining, EPC, Transport. Globally savvy, highly motivated, skilled communicator with a strong analytical background, consistently highly rated in the organization. Adaptable leader and exceptional team player, utilizing collaborative approach in work to manage global projects.
Data analytics developer in Australia (UTC+11)
Results-driven Engineering Manager with 13 years of expertise in technical leadership for software product development. Specializing in Blockchain, Rust programming, cryptography, and successful management of startup initiatives over the past 6 years **Skills** :- Rust, Cryptography, ED25519, SECP256K1, AES, Dilithium, P2P, Substrate, Ethereum, Distributed, Systems, Decentralised System Design, Python, GIS, PyTorch, Engineering Management, SSI, TypeScript, NodeJS, Linux, Docker, Agile Team Management, Start-up Scaling **Certifications :-** Agile Certified Practitioner (PMI-ACP), License 1826676 | Certified Scrum Master®, Scrum Alliance License 000467385 Certified Scrum Product Owner® Scrum Alliance License 00046738 | SAFe 4.0 Agilest Certificate ID: 59076929-0065 |Certified Blockchain Expert, License 13780927
Data analytics developer in Australia (UTC+10)
I'm an engineer, data scientist, and researcher with 8+ years experience in industry, government, and academia. I help people and companies to solve problems connecting the dots using analysis, modelling, implementations, and visualisations with focus on people, communication, and teamwork. I use different tools based on data analysis, machine learning, and artificial intelligence and I am always learning about new tech to bring new options to different fields.
Data analytics developer in Australia (UTC-7)
A software engineer with over a decade of working experience in data management and development across diverse industries, including telecommunications, energy, and healthcare sectors. I also hold a bachelor’s degree in Linguistics, with 6 years teaching experience in language institutes, and more in informal manner. I am a highly versatile professional. Throughout my working years, I have created essential and strategic corporative applications to solve problems in the most diverse work environments. I maintain a positive attitude towards diversifying my skills and learning about tools needed to get jobs done.
Data analytics developer in Australia (UTC+10)
Experienced Cloud DevOps Engineer with a passion for designing, implementing, and optimising robust cloud solutions. Proficient in Amazon Web Services (AWS) and Azure Kubernetes Service (AKS), I specialise in orchestrating containerized applications using Kubernetes, automating infrastructure deployment with Terraform, and ensuring seamless operations with Ansible. My strong background in Python programming allows me to create custom tools and scripts to enhance automation and streamline workflows. With a keen eye for scalability, security, and performance, I'm dedicated to creating and managing cloud infrastructures that empower businesses to achieve their goals efficiently and reliably.
Data analytics developer in Australia (UTC+10)
Computer Engineer from the University of Concepción in Chile, with a track record of excellence in roles focused on data. With expertise as a competent Cloud Data Architect, Data Engineer, DBA Consultant (Oracle Advantage Certified Partner), Datamart Developer specializing in Microsoft applications. In these roles, I have assumed significant responsibilities in the design and development of cloud processes; development, maintenance and modeling of new databases, particularly in the domain of ETL processes. I am a quick learner and have a passion for problem-solving.
Data analytics developer in Australia (UTC+11)
Data Engineer with over ten years of expertise implementing data lakes, integration and warehousing solutions. In addition to data engineering work with Cognizant and wireless with NBN Co, Kiran has enterprise experience in financial services from MetLife, ING Group, and Bank of America. He is highly motivated when challenges are thrown at him, as they bring out his best! Kiran loves to program and use logical thinking to solve complex problems efficiently.
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Ready to hire your ideal Data analytics developers?
Get startedArc offers pre-vetted remote software developers skilled in every programming language, framework, and technology.
Look through our popular remote developer specializations below.
Arc helps you build your team with our network of full-time and freelance Data analytics developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.
Depending on the stage and scale of your product and services, you may need to hire a Data analytics developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Data analytics developers can help keep your website up-to-date.
To hire a Data analytics developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.
Arc offers three services to help you hire Data analytics developers effectively and efficiently. Hire full-time Data analytics developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Data analytics developers in 72 hours, with weekly payments.
If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Data analytics developers.
Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Data analytics developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Data analytics developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Data analytics developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.
If you’re looking to hire the best remote Data analytics developers, consider niche platforms like Arc that naturally attract and carefully vet their Data analytics developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Data analytics developers.
Some factors to consider when you hire Data analytics developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.
Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Data analytics developers for hire.
Writing a good Data analytics developer job description is crucial in helping you hire Data analytics developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.
Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.
Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Data analytics developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.
For a comprehensive guide on how to write an attractive job description to help you hire Data analytics developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Data analytics developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software testing and debugging.
Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Data analytics developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Data analytics developers to keep up with evolving technology and requirements.
You can find a variety of Data analytics developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Data analytics developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Data analytics developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.
In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled software engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Data analytics developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Data analytics developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Data analytics developers.
Every Data analytics developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.
Not only can you expect to find the most qualified Data analytics developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Data analytics developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.
While Arc has a strict vetting process for its verified Data analytics developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Data analytics developers, you can rest assured that all remote Data analytics developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
Arc pre-screens all of our remote Data analytics developers before we present them to you. As such, all the remote Data analytics developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Data analytics developer in 72 hours, or find a full-time Data analytics developer that fits your company’s needs in 14 days.
Here’s a quote from Philip, the Director of Engineering at Chegg:
“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”
Find out more about how Arc successfully helped our partners in hiring remote Data analytics developers.
Depending on the freelance developer job board you use, freelance remote Data analytics developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Data analytics developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.
When you hire Data analytics developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.
According to the U.S. Bureau of Labor Statistics, the medium annual wage for software developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.
Your remote Data analytics developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.
For more frequently asked questions on hiring Data analytics developers, check out our FAQs page.