Hire the best freelance Google Data Studio developers
Arc helps you find and hire top freelance Google Data Studio engineers for
your jobs. With 10,381 Google Data Studio programmers available for hire on a
freelance basis, we have one of the largest network of vetted talent. Our
Silicon Valley-caliber vetting process helps ensure that you hire
freelance Google Data Studio developers and experts that you can trust.
Hi, my name is Bhimesh,
I am a Full Stack Developer with an interest in building innovative technologies and applications in various industries involving Data Science and delivering applications that solve day to day human problems and facilitates the user experience. I have worked with multiple companies as a Full Stack Software Engineer and Data Engineer, where my responsibilities were to design, develop, and scale Software Systems that are scalable, responsive, and serviceable.
I have worked on both back-end and front-end applications. One of the challenging projects that I had worked on was developing an API for the AR system for all platforms for developers. While working on it I was able to render multiple complex models on AR platforms and I am still working on making it a go-to API for people interested in AR/VR technology.
I have experience in Computer Vision, Computer Graphics, and Software Application Architecture and Development. Currently, I am working as a Full Stack Application Developer at Pitchly where my responsibility is to create a workflow application that helps large law and financial firms reconcile their data in a systematic fashion for the various internal and external use cases.
On a personal level, my hobbies are sketching and participating in hackathons such as HackISU and CDC. I also have a knack of finding not so touristy spots in new cities. You're welcome to join if we connect and are in the same city.
With all the fun and work, feel free to get in touch with me at bhimeshchauhan@gmail.com, if you want to bring a fresh perspective to your team.
Passionate about technology, with an extremely curious and inquiring mind, which has fostered throughout my life self-learning among several fields.
[https://www.linkedin.com/in/alvarezluciano/](https://www.linkedin.com/in/alvarezluciano/)
As an accomplished Fullstack Engineer, I excel in designing, developing, and implementing software solutions using modern end-to-end technologies. I am highly skilled in cloud-based development, containerization, and translating product requirements into efficient technical requirements. Throughout my career, I have consistently delivered high-quality products on time while demonstrating expertise in leading teams and mentoring junior developers. My strong communication and collaboration skills enable me to thrive in fast-paced environments and remain dedicated to continuous learning and growth. I am deeply passionate about delivering exceptional code and contributing to the success of my team and organization.
Please, visit my Linkedin for more details: [https://www.linkedin.com/in/marcel-pallete-81166b2b/](https://www.linkedin.com/in/marcel-pallete-81166b2b/)
Experienced tech consultant, currently working as Data Tech Lead at Ernst & Young Brazil, focused in:
\- SQL, Python, PySpark and Scala Languages
\- Data Engineering
\- Data Architecture
\- ETL pipelines (By code or by ETL Tools like Pentaho, Alteryx, SSIS)
\- Big Data (Spark, HDFS, Hive, NiFi, Kafka)
\- Tuning and performance
\- Azure Cloud (Data Factory, Databricks, Synapse Analytics, SQL DB, Data Lake Gen 2, Stream Analytics)
\- Terraform and IaC for Azure Cloud
\- Databases (SQL Server, PostgreSQL, Teradata, IBM DB2, MySQL)
\- Data Modeling (Erwin, DW, DLH, OLAP/OLTP)
\- Business Intelligence and DataViz (Power BI Expert level (M, DAX, DAX Studio, Tabular Editor), Tableau, Looker/DataStudio, Looker and LookML, Qliksense and Qlikview)
\- Microsoft Fabric complete solution
\- Microsoft Solutions (Power Platform, Power Automate, Sharepoint, Power Apps, Dataverse, Sharepoint)
Senior Data Analyst with over 9 years of experience. Focused on the business side but with extensive knowledge of data technologies.
Known for good communication, teamwork and constant seek for knowledge.
Last years working with Marketing, Product and Growth insights, such as Attribution and Tracking data.
Tech Skills: Python, PySpark, SQL, DAX, M, HTML, Git...
Growth: Google Analytics, Firebase Analytics, Appsflyer, Google Tag Manager, Google Optimize, Google Ads
Cloud: AWS, GCP
Data Viz: Power BI, Tableau, GoogleDataStudio, Metabase, Matplotlib
ETL: SSIS, Airflow
IDE: Databricks, Jupyter, VS Code
Databases: Big Query, RedShift, PostgreSQL, Snowflake, SQL Server, IBM DB2
I am a Full-Stack Software Engineer and Data Engineer with more than ten years of experience in developing software that improves operations in the education, finance, and health industries. My technical expertise includes Node.js, AWS, NestJS, GraphQL, JavaScript, TypeScript, React.js, Next.js, MySQL, and MongoDB. I am dedicated to writing clean and maintainable code and designing robust software architectures.
Throughout my career, I have led the development of full-stack web applications, automated complex processes, and made significant improvements in system scalability and performance. My role often involves building intuitive user interfaces and efficient backend systems, ensuring high availability and security by managing server and database operations, and implementing continuous integration and delivery pipelines.
I hold a Bachelor's degree in Computer Science and postgraduate degrees in Data Science and Global Competitiveness Leadership. These qualifications enhance my ability to manage large-scale projects and derive actionable insights from data, driving strategic decisions.
I'm a problem solver with 5+ years of experience and results based on data and business knowledge. I’m very proactive, collaborative and always available to help and support my colleagues. I'm an eager learner mainly interested in Machine Learning, MLOps, Deep Learning and all about technology.
Experience in 💼:
\> Extracting business value from data and large data sets, predictive modeling, forecasting, optimization, generation of insights and supporting business decision making, problem framing, data analysis, value assurance, development of proof of performance and POC;
\> Real estate market, E-commerce, Insurance, predictive maintenance in oil and gas industry;
\> Clustering, time series, anomaly detection, feature selection, feature importance, NLP;
\> MLOps, development of ML and Deep Learning models, models monitoring, maintenance, experiment, deployment, data drift detection;
Programming Languages 💻:
Python, R, SQL, VBA (Excel and Word), SAS, Prophet
Tools ⚒️ :
PySpark/Spark, MLflow, Databricks, Git, Microsoft Azure, AWS, Amazon Sagemaker, Azure DevOps, Google Cloud Platform, MS Office, DataStudio, Power BI, VS code.
Data Analyst with over 3 years of experience. Strong organizational skills, successful at managing multiple priorities with a positive attitude and quality-driven.
Background includes data mining, python for data analysis, SQL (Redshift and Postgresql) and some ETL, AWS S3 and Lambda.
Willingness to take on added responsibilities to meet team goals.
Innovative and technically-astute Full Stack Development leader well-versed in analyzing user needs and developing software to precisely meet diverse needs. Demonstrates mastery of multiple programming languages and proactively keeps up with industry trends. Driven to wear many programming hats with expertise in creating everything from new applications to new operating systems.
Business administrator with 6 years of experience in Business in the financial market, the last 4 years focused on solving business problems with application of statistics in data analysis. I like to understand and solve problems. I have a holistic and strategic vision. I'm curious, I'm always learning something new and I have pro activity, self leadership and interpersonal communication with great public speaking.
My experiences are:
• Knowledge in exploratory and descriptive statistics.
• Knowledge in SQL, R,Scala, Pyspark Python. (pandas, numpy).
• Application of best practices in data visualization with storytelling.
• Critical and logical thinking, analysis frameworks, problem summarization, good communication and public speaking.
• Identification and mapping of short, medium and long term needs.
• Acting and participating in the product development process as a member of the scrum team and squads.
• Survey of business hypotheses and A/B testing proposals to validate the hypothesis.
• Knowledge of the main indicators of digital products (Churn, LTV, cohort, CAC, etc) and creation of custom metrics.
• Identification of opportunities for new projects and support for decision making in the business area.
• Clarity of the pros and cons of each analysis, regardless of whether all necessary data is available
If you're looking for immediate online assistance from Google Data Studio experts, you can get Google Data Studio programming help within 6 minutes on Codementor.
Why choose Arc to hire freelance Google Data Studio developers
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Build your Google Data Studio development team anywhere
Arc helps you build your team with our network of full-time and freelance Google Data Studio developers worldwide, spanning 190 countries. 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 Google Data Studio developer, multiple developers, 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 engineers 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 350,000 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 developer 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 programmers 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 developer candidates.
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 programmers 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.
What skills should I look for in a Google Data Studio engineer?
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 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 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 programmers 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 programmers, 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 software 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 (both for depth in Google Data Studio and breadth across the greater domain). 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 engineer 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 developer’s Google Data Studio 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 350,000 candidates. You can also expect to hire a freelance Google Data Studio programmer in 72 hours, or find a full-time Google Data Studio programmer 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.”
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 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 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.
Your future Google Data Studio developer is just around the corner!