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941 Remote Google Data Studio developers and experts available to hire:

Google Data Studio consultant - felipe A.
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felipe A.

Vetted Google Data Studio developer in Brazil (UTC-3)

I have experience in research, data science, and machine learning. I have worked on projects related to deep learning, renewable energy, and dynamic discount algorithms. My education includes a PhD in Mathematical Modelling and a MicroMasters in Statistics and Data Science.

Google Data Studio consultant - Felipe A.
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Felipe A.

Vetted Google Data Studio developer in Brazil (UTC-3)

Backend Developer & Tech Lead with 5+ years of experience in Node.js, TypeScript, GraphQL, and Google Cloud. Skilled in leading teams, implementing CI/CD pipelines, and improving processes. Introduced innovations in my current role with a focus on solving complex problems and delivering user-centric solutions.

Google Data Studio engineer - Luan C.
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Luan C.

Vetted Google Data Studio developer in Brazil (UTC-3)

Staff Software Engineer with 15+ years of experience leading and developing scalable, high-availability systems. Proven ability to drive projects from inception to deployment, leveraging expertise in Kotlin, Java, AWS, Google Cloud, and Kubernetes. Successfully led the development of risk analysis and transaction decision systems, improving service reliability and speed. Passionate about incorporating AI into software development, including using SageMaker for fraud detection. I have supplemented my practical experience with self-study courses in LLMs and AI, further enhancing my ability to contribute to innovative solutions. Dedicated to continuous improvement, mentorship, and fostering a collaborative team environment.

Google Data Studio engineer - Italo R.
Italo R.

Google Data Studio developer in Brazil (UTC-3)

* Reduced annual absenteeism costs by over R$ 3 million for Heineken Brazil using Machine Learning. - Generated over R$ 6 million in annual revenue through causal inference. - Increased the ROI of a major e-commerce company by more than 30% using Marketing Mix Modeling. - Developed the company's first projects using LLM. Throughout my career, I've used the following tools: SQL, Python, PowerBI, DataStudio, Looker, BeautifulSoup, Scrapy, Databricks Google Cloud Platform, Azure, Git, Postgres, BigQuery, Azure OpenAI, Sklearn, Pandas, Numpy, Time Series, Regression, NLP, LLM.

Google Data Studio expert - Thales G.
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Thales G.

Vetted Google Data Studio developer in Brazil (UTC-3)

Experienced Data Engineer with over 8 years of expertise in designing and implementing end-to-end data solutions, with a strong foundation in Python development. Skilled in building scalable architectures on cloud platforms, realtime data processing, predictive modelling, and machine learning engineering. Extensive experience in leveraging Python for data manipulation, feature engineering, and creating reusable frameworks to streamline business rules and data pipelines. Adept at leading cross-functional teams, collaborating with C-level executives, and delivering actionable insights through innovative solutions. Proficient in tools and platforms such as AWS, GCP, Apache Airflow, and PySpark, driving operational excellence and impactful results in data-driven environments

Google Data Studio expert - Daniel M.
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Daniel M.

Vetted Google Data Studio developer in Brazil (UTC-3)

I am a Brazilian Data Engineer with 8+ years of hands-on experience designing end-to-end solutions from ETL pipelines, algorithms, databases and architectures that leverage data to empower decision-making in different industries, mixing digital marketing with business data. Driven to solve complex challenges with advanced tools and technologies, enjoying the balance of hands-on work and team coordination to deliver impactful, collaborative solutions. With strong communication skills that bridge technical and business domains, combined with an analytical and collaborative mindset, I’ve had an active role in important projects for industry giants such as Vivo (Telefonica), Samsung, Unilever, Gerdau, Volvo, Hyundai and Reckitt Benckiser. I currently work as Head of Data Engineering at Cadastra, a global digital marketing agency.

Google Data Studio engineer - Felipe S.
Felipe S.

Google Data Studio developer in Brazil (UTC-3)

Over 5 years of experience in the data area, with experience in national and international projects (USA). Extensive experience with SQL and Scala, using Databricks and BigQuery, extracting and analyzing large volumes of data to create benchmarks, dashboards, trend analysis and experimentation. Creation and maintenance of dashboards using PowerBI, Looker Studio and Databricks (either Databricks' built-in or Python libraries).

Google Data Studio consultant - Sillas G.
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Sillas G.

Vetted Google Data Studio developer in Brazil (UTC-3)

I am a seasoned data scientist with 7+ years of experience and a rich background in credit risk, fintech and marketing, recognized for developing impactful predictive models, spearheading projects, translating business requirements from stakeholders, and mentoring emerging talent. My experience ranges from optimizing fraud detection at Signifyd to enhancing credit risk assessment and customer retention strategies at Creditas and Will Bank. Proficient in technologies like Python, SQL, dbt, AWS, Looker, and R, I excel in turning complex data into actionable business strategies and thrive in roles that allow me to drive organizational success through data-driven solutions while being able to communicate my results with stakeholders of different technical backgrounds.

Google Data Studio expert - Jorge M.
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Jorge M.

Vetted Google Data Studio developer in Brazil (UTC-3)

Hi! Do you want to know about my work experience? I love teaching programming, especially programming with Python. Work experience with projects, data engineering, and data science: * Work experience creating machine learning models, such as Demand Forecasting, Fraud in-app payments, House prices prediction, Delivery time model (ETA), consumer retention, and dynamic pricing of bottles; * Work experience with serverless infrastructure, API Rest, Lambda Functions (AWS), Azure Functions (Azure), and Cloud Functions (GCP); * Work experience creation ETL flow using Beautiful Soup, Requests and saving data inside a Data lake such as S3 or Amazon Redshift. After that, i created a data warehouse using Snowflake; * Work experience with Snowflake; * Work experience creating a Data Catalog, Data lineage, and Business glossary product; * Work experience in Data Visualization ( Tableau, Power BI, Data Studio ); * Work experience in data analyses; * Work experience implementing a governed data lake at the cloud ( GCP, AWS, Databricks); * Solid knowledge about Data Quality; \-Bachelor in Electronic Engineer and Data Science

Google Data Studio programmer - hugo A.
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hugo A.

Vetted Google Data Studio developer in Brazil (UTC-3)

**Deep Learning Architect (L5) | AWS Generative AI Innovation Center** _São Paulo, Brazil_ With 5+ years experience in AI/ML, I am currently a Deep Learning Architect at AWS Generative AI Innovation Center, blending my expertise in Generative AI science with advanced architectural design to deliver robust, scalable solutions. In my role, which merges the responsibilities of a Data Scientist and a Solutions Architect, I lead customer engagements from proof-of-concept to production-grade systems, ensuring they are secure, fault-tolerant, and optimized for enterprise performance. As a tech lead, I maintain a hands-on approach—contributing to model development, optimization, and deployment—while collaborating with diverse teams to design solutions that drive innovation and disrupt industries. I am seeking long-term opportunities where I can leverage my dual expertise to develop cutting-edge Generative AI solutions and help companies revolutionize their business verticals through transformative technology. ### **Technical Skills** **Artificial Intelligence & Machine Learning** * Expertise in Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, Neural Networks, Transformers * Hands-on experience with frameworks: PyTorch, TensorFlow, Scikit-learn **Cloud Computing & DevOps** * 4 AWS Certified (Soultions Architect, Cloud Developer, Machine Learning Specialty, Data Analytics Specialty), Docker, Kubernetes, CircleCI, Elastic Beanstalk, Apache Airflow **Programming & Software Development** * Proficient in Python, R, and SQL * Experienced in building and consuming RESTful APIs and GraphQL **Data Engineering & Big Data** * Skilled in Apache Spark, NoSQL databases (MongoDB, DynamoDB, Elasticsearch) * Experienced in building data pipelines, ETL processes, and optimizing data workflows **Data Analytics & Visualization** * Proficient in Power BI * Proficient Plotly, Bokeh, Matplotlib and Seaborn * Advanced statistical modeling using using R and statsmodels **Soft Skills** * Strong problem-solving ability, Agile/Scrum methodology, proven team leadership, and commitment to continuous learning **Languages** * Portuguese (Native), English (Fluent), French (Fluent), Spanish (Advanced), German (Advanced)

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Why clients hire Google Data Studio developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
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.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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FAQs

Why hire a Google Data Studio developer?

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 Google Data Studio 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 Google Data Studio developers can help keep your website up-to-date.

How do I hire Google Data Studio developers?

To hire a Google Data Studio 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 Google Data Studio developers effectively and efficiently. Hire full-time Google Data Studio 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 Google Data Studio 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 Google Data Studio 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 Google Data Studio developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Google Data Studio developers?

There are two types of platforms you can hire Google Data Studio 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 Google Data Studio 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 Google Data Studio developers, consider niche platforms like Arc that naturally attract and carefully vet their Google Data Studio developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Google Data Studio developers.

Some factors to consider when you hire Google Data Studio 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 Google Data Studio developers for hire.

How do I write a Google Data Studio developer job description?

Writing a good Google Data Studio developer job description is crucial in helping you hire Google Data Studio 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 Google Data Studio 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 Google Data Studio developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in a Google Data Studio developer?

The top five technical skills Google Data Studio developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of 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 Google Data Studio 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 Google Data Studio developers to keep up with evolving technology and requirements.

What kinds of Google Data Studio developers are available for hire through Arc?

You can find a variety of Google Data Studio developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Google Data Studio developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Google Data Studio 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 engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Google Data Studio developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Google Data Studio developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Google Data Studio developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Google Data Studio developers.

Every Google Data Studio 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 Google Data Studio 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.

How does Arc vet a Google Data Studio developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Google Data Studio 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 Google Data Studio 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 Google Data Studio developers, you can rest assured that all remote Google Data Studio developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Google Data Studio developers on Arc?

Arc pre-screens all of our remote Google Data Studio developers before we present them to you. As such, all the remote Google Data Studio 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 Google Data Studio developer in 72 hours, or find a full-time Google Data Studio 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 Google Data Studio developers.

How much does a freelance Google Data Studio developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Google Data Studio developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Google Data Studio 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 Google Data Studio 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.

How much does it cost to hire a full time Google Data Studio developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for 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 Google Data Studio 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 Google Data Studio developers, check out our FAQs page.

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