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can data analyst work from home?

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Answer # 1 #

Having this great opportunity to bring your work wherever you go allows for much more possibilities as a data analyst! More than just working from home, the nature of data analysis work allows for remote working.

Data analysts can work from home. Data Analysts work mainly with data analytics software or tools that are on their computers. This means that most of the work that is done on these computers can be brought home and worked on through laptops with a secure VPN connection.

The first thought that came to my mind is the difference between working closely with a team physically and meeting them virtually. In a remote job, virtual meetings are the only go-to option for any correspondence between colleagues. Although this might initially put most in an uncomfortable environment to speak to new people in broader teams, these problems should fade over time as you get used to the virtual conference software.

Because a large part of a data analyst’s job is to work closely with the operations, finance and marketing departments, meetings are commonplace. Therefore, when these meetings go online, many of the quick discussions or informal discussions that come together with problem-solving are not present. Moreover, meetings that require intensive analysis or discussion may encounter increased difficulty in conveying ideas, leading to extended meeting hours.

As a typical data analyst day goes, most would agree that work hours are consistent. However, in a remote data analyst job that works from home would have that slightly disrupted. This can provide a substantial amount of flexibility, which is great for a data analyst that works from home. Increased flexibility to working hours can be useful when an analyst requires more time to churn out that monthly report.

However, with the idea of working from home comes the need to consider the varying timezones. Your working timings might be slightly shifted according to the headquarters of your company. Just imagine having to work in Eastern Daylight Time (EDT) when your office is in Pacific Daylight Time (PDT)! Meetings would be tougher to arrange due to varying lunch hours and longer meetings would lead to less heads-down analysis time.

As some may say, nowhere is as comfortable as home. If you enjoy being at home and are able to stay focused while working from your desk at home, working as a data analyst from home may be just the right fit for you! Typically, a data analyst would need to be seated at a desk in the office, where the environment is more serious and corporate.

In a situation where working from home is needed, all of these factors are not present. In fact, some might find their homes a more comfortable environment to think creatively and critically for problem-solving. Data analytics is described by some as a mixture between a science and an art, where creativity is required for coding tasks as well as crafting beautiful, insightful charts for data visualization reports.

Also, if you are someone who loves to have a quiet place to sit down and run through a tough analysis problem, working from office offers a quieter environment than that of working from home. Family members might cause minor disruption to your train of thought, which can lead to some frustration.

Another large difference between the regular office and the work from home data analyst is the work community. Some people would agree that the people make up most of the job. If there’s a great community and company culture, you are more likely to report to work every weekday morning.

In the regular office, work is all in one place and interactions between co-workers are organic and easy. This helps to build company culture. As a data analyst who works cross-functionally across multiple teams, having good rapport built up with various teams is essential

However, in the work-from-home individual, there would be less chances for fostering a closer community with co-workers at work. With virtual interactions, conversations might seem colder, which can affect a data analyst’s overall efficiency in the long run.

As most data analysts sit within the product/tech team, office-going individuals would already be using common virtual workspace software such as Google Suite, Slack or Microsoft Teams for communication. This is no great difference from the data analyst working from home, with the exception of having heavier usage of them.

Data analysts mainly work within a stack of analytics software used by their specific companies. With the use of cloud computing and server-less databases, data analysts can still generate SQL and Excel reports even from home.

Python or R scripts written by data analysts are typically shared through a collaboration platform with version control that enables collaborative coding. One such example is Google’s Colaboratory for a Python environment. These collaborative coding platforms allow the remote data analyst to work with another team member working on the same script in a different location.

Data analysts have a typical workflow throughout their analysis. It usually begins with a request for a certain analysis report to be made, through email. They would then query the necessary data from the respective databases. This data is cleaned through certain scripts and presented in a presentation using data visualization tools.

Similarly, a data analyst that works from home will be running through the exact same pipeline through the computer. All the required software and database access are available from a computer.

Having a remote job is in itself a flexible arrangement! With a remote data analyst position, more doors will be opened up to you. You can have opportunities to work with large companies that were typically too far away to travel by any means of transport. Moreover, a remote job can provide a chance for you to work with that dream company overseas that you’ve been dreaming of.

If you prefer the data analysis work over the office banter, you would enjoy having the freedom to work remotely. With less time for interactions, more can be accomplished with the extra time as compared to unnecessary discussions.

While this point may not be a benefit for most people, who would rather have a human to talk to physically, there are some who truly enjoy the data processing more than anything and I respect that.

Having the opportunity to not leave your doorstep to report for work, remote data analysts would have more time on their hands saved from travel time that office-goers do not. Depending on your work location, the office can be a tiring, long 2-hour drive away, which may not be feasible for all individuals. Working from home gives you better control over your after-work hours.

Large companies that have the resources and infrastructure to implement remote positions should take up a large portion of positions available out there. These companies offer work from home opportunities because they focus on the expertise of the hired individuals rather than the need for close physical collaboration.

Startups are known for their fast-paced and rapidly expanding teams. In a startup that lies in the scale-up stage of growth, offices may have less space for desks for new hires. A remote position may therefore be extended instead of an office-going one. However, the remote option may only last until the office venue is moved.

Another possible source of remote data analyst positions are through the data consulting route. As most freelance data consultants are hired on a contract basis, there is less emphasis on collaborating within internal teams. Hence, a remote position is sufficient.

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Belle Neverson
Zoologist
Answer # 2 #

We cover the remote job market situation in the data world and answer if data analysts can work fully remotely.

If you’re wondering if data analysts can work from home, you’re in the right place. Before diving into this subject, it’s important to mention that 2020 had a big impact on how the future of remote working will look like for everyone.

During the Coronavirus pandemic, even companies whose CEOs were strongly against allowing their employees to work from home were forced to adjust and implement remote-friendly policies.

In most cases, this change proved to be extremely effective, increased work satisfaction, reduced company costs, improved productivity, and in the end, changed a lot of minds.

In the Data Analysis / Data Science / Business Intelligence fields

Plenty of companies already announced that even after the pandemic ends, they’ll permanently embrace working models focused on remote working, higher flexibility, and adapt hybrid ways of working.

Analysts can perfectly work together from the comfort of their homes.

This means that the remote job market future looks bright and we expect to see a significant rise in remote-friendly jobs in the data world.

Yes, absolutely. If you want to work remotely as a data analyst, all you need is a laptop, your favorite analysis/visualization tools, and of course a remote-friendly job.

Whether we talk about freelancing, contract-based, or full-time jobs, data analysts can work remotely, without any doubt.

Being a data analyst is considered to be a lonely profession that already requires an independent and autonomous mentality. This fits well in a remote-working world.

The collaboration with your colleagues – other BI analysts, data engineers, data scientists, data architects – is usually kept at a minimum. And when you need to collaborate, you can easily do it virtually using all kinds of modern tools like Slack for quick chatting, Miro for whiteboarding sessions, Zoom, or Hangouts for meetings.

From home, you will also be able to hold important meetings with your key stakeholders. Whether you need to define requirements, give updates, or present findings of your analysis, reports, or dashboards – you can easily do any of that from the comfort of your home. Screensharing is key!

There’s usually no difference between the tools you would use at the office and the tools you would use at home.

Most analysts usually code in Python, R, SQL and use visualization tools like Tableau, PowerBi, and more. Most companies should provide you with free gear (laptop, monitors, adapters, keyboards, etc) and with the required software licenses.

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Mass lrogsmaj Arun
WATCHER AUTOMAT
Answer # 3 #

In a word, yes. Data is one of the fastest growing professions, and data analysts are in high demand. At the same time, remote work is on the rise; it’s predicted that, by 2028, 73% of all teams will have remote workers. And, when you consider the day-to-day work of a data analyst, you’ll find that it’s particularly well-suited to the remote environment.

Still, if you’re thinking about becoming a remote data analyst, there are certain things you’ll need to consider. In this guide, we’ll give you a solid overview of the remote data job market, and share some tips on how to find a remote job.

We’ll explore the following:

Can data analysts work remotely? Let’s take a look.

First things first: What does a data analyst actually do, and how does this fit in with remote work?

Data analysts are responsible for turning raw data into meaningful insights. First, they’ll work with key stakeholders in the business to identify a problem or a question that needs answering. For example, why did sales dip so dramatically in November? From then on, they’ll spend most of their time extracting data (say, from a database), organizing it, analyzing it, and presenting their findings. To do this, they use tools such as Microsoft Excel and Tableau, as well as languages like SQL, Python, and R. You can learn more about the tools used by data analysts in this post.

We’ve also made a super-quick guide on these tools on our YouTube channel:

On a day-to-day basis, much of the data analyst’s time is spent on the computer, and the actual analysis part of the job requires very little collaboration—sometimes none at all! In a nutshell, here’s why data analytics is so well-suited to remote work:

Before we consider the state of the remote job market, let’s review the data analytics market in general.

In their 2020 Jobs of Tomorrow report, the World Economic Forum identifies seven high-growth emerging professions—and, out of the seven, data and AI shows the highest growth rate at 41% per year. It’s clear that data analysts have been, and will continue to be, in high demand.

At the same time, the remote job market is booming. According to a report by Glassdoor, remote job listings increased by 61% in August 2020, compared to the same period from the previous year. And, according to FlexJobs, data analysts are among the top professions currently showing strong remote job growth.

So: A burgeoning data job market coupled with a rise in remote work. Very promising for an aspiring remote data analyst! To give you an idea of what this looks like in terms of actual job listings, we’ve scoured some of the most popular job boards for remote data analyst roles. At the time of writing, we found:

When we last updated this page, the numbers were much lower—but it seems that the trend for remote working for data analysts is growing, with the numbers of job postings rivalling in-office roles!

With that said, it’s important to bear in mind that not all positions with the potential to go remote are advertised as such—it may be something you can negotiate with the hiring manager. We’ll share some tips on how to find a remote data analyst job in section five.

How much you earn as a data analyst depends on several factors: Your location, how much experience you’ve got, and the industry you work in.

On average, data analysts earn a base salary of around $65,000 USD per year (in the United States, based on data from indeed.com.)

But what about remote data analysts?

At the time of writing, there’s very little data regarding remote data analyst salaries specifically—and there’s much discussion about whether remote workers should earn less than their in-house counterparts.

Mark Zuckerberg recently announced that, in the next ten years, half of Meta’s employees will switch to remote work on a permanent basis, and that their salaries may be adjusted based on where they live—so, employees living in cheaper areas can effectively expect a pay cut. This is an approach that many companies take when hiring remote workers, so it’s something to bear in mind when negotiating your salary. However, this may shift as remote work becomes increasingly prevalent. In the wake of Mark Zuckerberg’s announcement, many people are arguing that remote workers should not be paid based on where they live, but on the value they bring to the company.

So: When it comes to your salary as a remote data analyst, you can use your location as a benchmark—but make sure you also factor in the expertise you’re bringing to the table. There’s no reason you should earn significantly less than in-house analysts if you’re working the same hours and contributing just as much value. If you’re struggling with where to pitch your salary expectations, our data analyst salary guide will help you.

As we’ve seen, the demand for data analysts is high and the remote job market is growing.

At the same time, it’s a profession that can easily be carried out independently away from the office. With that in mind, it should be fairly easy to become a remote data analyst, right?

Unfortunately, there is no simple “yes” or “no” answer to this question. It all depends on your level of experience and where you’re currently at in your career. If you’ve already got some experience working as a data analyst, you’ll find it easier to apply for remote positions. Employers will see that you’ve already been exposed to the role and how it works within a business—and will be more confident in your ability to do the job without hands-on guidance. As an entry-level analyst without that previous experience, you haven’t yet built up a solid track record. From an employer’s perspective, it’s not clear whether you are able to work independently, and you’re more likely to need face-to-face support.

However, that’s not to say that it isn’t possible. The COVID-19 pandemic has had a major impact on the world of work, and companies have had to adapt how they operate and embrace more non-traditional ways of working. For many companies, hiring remote workers has become the new norm—which includes entry-level data analysts.

It’s true that you’ll need to work harder to convince employers that you’re ready for a remote position, but you’ll find that, in the current climate, more and more companies are open to the idea.

When it comes to finding a remote data analyst job, there are a few things you can do to boost your chances of success:

Let’s elaborate on those.

While there are a number of job boards dedicated to remote jobs, it’s still worth browsing general job sites, too.

In the current climate, many companies will be offering remote opportunities without advertising them as such, so it’s important to cover all bases. We’re also seeing an increasing number of virtual job fairs taking place, so keep an eye out for those.

CareerFoundry Career Specialist Danielle Sander recommends focusing on companies based in your timezone, and in those areas where you are legally authorized to work.

Here are some of our favorite websites for remote data analyst jobs:

Whether you’re searching for in-house or remote jobs, it’s absolutely crucial that you have a professional data analytics portfolio. Through your portfolio, you’ll showcase your skills and expertise, demonstrating what you’re capable of and that you’re passionate about your profession. We show you how to build a professional data analytics portfolio in this guide.

Last but not least, be ready to convince employers that you’ve got what it takes to work remotely as a data analyst.

Employers will want to see that you can effectively manage your time without any supervision, and that you understand the importance of communication.

Think back to your previous experience; is there a time when you’ve had to collaborate with people who aren’t in the same location? Have you worked on any freelance projects that required you to stick to deadlines whilst working independently? At the same time, show that you’ve thought about the challenges associated with remote work and how you plan to overcome them.

With a well-thought-out pitch and a stellar portfolio, there’s nothing to stop you landing your dream remote job!

Top of former schoolteacher and CareerFoundry Data Analytics Program graduate Azadeh’s wishlist when entering the job market was to work remotely. She marketed herself as a remote data analyst and ended up landing one at her dream company, which aligned with not just her remote work wishes but also her other values as well!

As the data market grows and remote work continues to rise, data analysts will increasingly find opportunities for flexible, location-independent work.

While it may prove more difficult for entry-level analysts to find a remote position, it’s certainly possible. Remember: Polish up your portfolio, cover all bases when searching for jobs, and be prepared to convince employers that you’re cut out for remote work.

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Sami Jonsson
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Answer # 4 #

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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Mithun Angelini
Audience Services Chief
Answer # 5 #

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.

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Naveena Suhaney
SUPPOSITORY MOLDING MACHINE OPERATOR