Mithun Angelini

List of the top 10 companies providing remote data analyst jobs. We’ll also have a detailed look into their roles and responsibilities.

Guess there’s one benefit the pandemic brought about that turned all of you techies into homebodies. That’s right – work from home! As a data analyst, you do not necessarily have to work from an office space. Most, if not all, of the duties of a data analyst, can be performed remotely. In this article, we will do a deep dive into what it takes to be a remote data analyst. We have listed the top 10 desirable companies that attract remote data analysts.

A remote data analyst will collaborate with the key stakeholders in identifying the business problem that needs to be addressed. This can be done with online conference calling applications such as Zoom, Google Meet, Slack, and so on. After this point, the work of a data analyst is pretty much a solo mission till you have to present your findings to the stakeholders again, which is perfect for remote workers.

Firstly, it involves collecting data from the database or surveys, marketing software, or other sources depending on the project. Then, you would organize and analyze the data using your analytical and numerical skills. Then comes the actual point of it all: to make sense of the data and bring it into perspective so that the business stakeholders can make data-backed, informed decisions.As with most jobs in the tech industry, a good internet connection and a reliable machine loaded with necessary programs are sufficient to work as a remote data analyst. On that note, let’s get to the nitty-gritty of how to get a data science job.

When you begin sifting through job portals and company websites, you will find a job description section. The description mostly tells you what an ideal candidate looks like for that company or project.

For a Remote Data Analyst job, the description usually necessitates:

Remote Data Analysts are responsible for:

There are requirements that you need to meet in order to be considered for Remote Data Analyst positions, as these have to do with your education and skillset. Some of these are:

The average salary for a Remote Data Analyst is $70,597 in the USA, with a beginner earning about $55,000 and experienced Principal Data Analysts making up to $114,818 based on the skillset acquired as well as the years of relevant work experience. What you get paid for can vary between locations and industries. According to Glassdoor, The top industries that pay higher salaries to data analysts are Information Technology, Pharmaceutical & Biotechnology, Energy & Utilities, Consumer Services, and finally, Financial Services.

Certifications: Well, for one, you can get yourself certified. There are a bunch of places where you can get certified in Data Analytics as well as specialized certifications in particular technologies, as listed below:

Masters or PhD

If you want to really specialize in the field, you can go to University to do graduate programs in Data Analytics. According to a study conducted by Burtch Works, data analysts with a master's degree are likely to be paid more. A few top universities in the United States with MS in Data Analytics are:

Learn Skills

Obviously, you will need to have knowledge of scripting and programming languages like SQL, Python, or R. Apart from these, it would benefit you to learn more skills that are in demand in the job market. Some of the skills that can give you the confidence to negotiate a higher data analyst salary are:

It is time to finally look at the most popular companies that are looking to hire remote data analysts in 2023.

Meta, formerly known as Facebook Inc is renowned for its social networking platforms. Additionally, the company provides business insight solutions as well. Meta is looking for a Privacy Data Analyst for the Meta Privacy Infra Assessment team. The role seeks professionals with at least 5 years of experience in reporting and 4 years of experience in using SQL in data analysis. The posting showcases a base salary of $130K to $185K per year based on skills and experience.

A cloud company with software and infrastructural products like Java, and RDBMS is hiring an experienced Senior Data Analyst possessing 3 to 5 years of prior work experience. The position pays a handsome salary ranging from $87,300 to $170,000 in the California region.

GDIT works to aid civilian, defense, and homeland security with their services, such as AI, cloud, 5G Wireless, and more. They are looking for talented Remote Data Analysts with at least 2 years of experience related to statistics and data analysis and also familiarity with R or SAS. The estimated base salary is $44K-$66K.

Cisco Meraki is an entirely cloud-managed networking solution, including services like wireless, security, WAN optimization, etc. At Cisco Meraki, the Data Science team is looking for a remote Senior Data Analyst who possesses a Bachelor’s degree in Computer Science, Mathematics, Econometrics, Statistics, or Engineering, along with 5+ years in an analytical role. You are expected to be proficient in SQL and Python and have exposure to AWS.

The acclaimed provider of financial and economic news and research is looking for a Ratings and Curves Data Analyst who holds a Master’s degree in Economics or MBA with statistical analysis knowledge and demonstrated experience in applied data analysis. The position requires proficiency in Excel, Python, and SQL. This is a hybrid position in New Jersey with an emphasis on remote work.

The largest B2B cannabis platform that equips licensed cannabis businesses with tools to manage their businesses is calling for a Senior Data Analyst. The budding company requires the candidate to work in a fast-paced business and possess a self-starter attitude. The minimum experience requirement is no less than 3 years in an analyst or consultant role with a year’s experience in using a BI tool like Tableau, or Looker. The candidate is also expected to have advanced SQL knowledge coupled with experience in Python or R for advanced analysis.

The base salary will be $100K-$150K.

The world’s top short-form mobile video platform, TikTok is hiring Data Analysts for their monetization platform to allow advertisers across the globe to get marketing solutions and maximize monetization opportunities. The Data Analyst must possess a Bachelor’s degree in Math, Economics, Computer Science, Statistics, or related fields. Advanced level knowledge and experience are expected in SQL and writing data pipelines as well as data visualization tools like Tableau.

The salary range is $114K-$209K.

Virgin Galactic, a subsidiary of Virgin, is an aerospace and space travel company that aims to provide space flights for tourists. A hybrid position for a Senior Data Analyst has opened up for those with 4-5 years of experience in analytics and advanced knowledge of Excel, SQL, Python, R, Tableau, and PowerBI. As a senior data analyst, you are expected to be able to build self-service dashboards and create an effective work environment by collaborating with the team. For obvious reasons, you will also have to be a U.S. citizen and conform to the U.S. Government space technology export regulations.

Is there anything to say about it? Everybody knows about Coca-Cola and their most famous drink. As a big beverage company, there are many more drinks in their portfolio.  Coca-Cola is hiring a QSE Data Analyst for individuals with a Bachelor’s degree in Computer Science, Software Engineering, Management Information Systems or Data Science with demonstrated experience of at least 5 years in building and deploying BI and Analytics solutions. The skills required include SQL, PowerBI, and Big Data.

One of the world’s most prestigious universities is seeking Data Analyst, Engagement (Google Analytics) to accomplish marketing and digital engagement. The Data Analyst will gather, structure, and analyze data from their websites as well as applications, and develop a multi-dimensional overview of Alumni engagement. A minimum of 4 years of experience in digital analytics is expected, especially with expertise in Google Analytics, Excel, and PowerPoint.

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