How To Become A Freelance Data Analyst?

How to become a freelance data analyst – To become a freelance data analyst, you need a bachelor’s degree in an analytical subject, such as math, statistics, accounting, finance, business management, economics, or data science. Depending on the industry, you could require further training or skills, such as data visualization and trend forecasting. Additionally, you could need technical expertise in SQL, JavaScript, and other computer languages, as well as database creation and maintenance. Before becoming an independent performance analyst, you should have several years of experience.

Since there is a significant need for data analysts, several platforms have made it simpler than ever for them to explore career options outside the box, one of which is freelancing!

This article will explain everything from whether this is the right career move for you, current earnings, and a detailed guide on getting started even if you’re starting in data analytics if you’ve been curious about what it takes to become a freelance data analyst or about the field in general!

Let’s start now!

Freelance Data Analysis

Data analytics is the process of statistically analyzing data sets to discover insights that data analysts may put to use. For example, they frequently do this to help businesses choose marketing, pricing, sales, and product development.

Although data analytics and data science are fundamentally pretty different ideas. Data science is a broad topic that combines programming and statistical analysis to create algorithms and predictive mathematical models for processing and manipulating data.

Moreover, the interpretation of enormous and complicated data sets that conventional programs cannot handle is called “big data analysis” in our terminology.

Whereas, freelance data analysis implies that you are working for yourself as a sole proprietor, finding your clients and projects, handling your accounting, marketing, and insurance needs, and controlling your schedule, rates, and time management.

Reasons To Choose Freelance Data Analysis

There are several reasons why you should choose freelance data analysis;

1. Being your boss is possible with freelance data analysis.
2. You can accept clients from anywhere that fit your project requirements and need work in your areas of expertise if you work remotely.
3. This might provide you more freedom to design a schedule that suits your needs and a better work-life balance.

Benefits of A Freelance Data Analyst

There are several benefits to working as a freelance data analyst. Some uses for people who choose to work in this field include the following:

  • Freelance work is distinctive in that it gives you the freedom to be your boss, set your hours, and even choose where you work. Additionally, you may work from anywhere globally or in the country as long as you meet deadlines. You can select your schedule to fit your needs and your job’s.
  • Many freelancing opportunities are available for those with the necessary skills and dedication because you may work for clients anywhere in the world.
  • Sometimes, working as a freelance data analyst might result in a full-time position. They could decide to extend your contract or hire you for a more permanent role if you show that you are a dependable worker.
  • One of the major benefits of working as a freelancer is that there is no busy work. Because, you generally receive a higher hourly wage than you may receive internally. Therefore, your knowledge that every hour of work is committed only to the present project is necessary for this salary rise, nevertheless.

Challenges Associated With Freelancing

The following are the challenges associated with freelancing;

1. The uncertainty of the workflow
2. The need to constantly market yourself and
3. Maintain a favorable online presence to attract job offers
4. The absence of employment benefits like health insurance and 401(k) contributions, and
5. The social isolation

Skills You Need To Succeed As A Freelance Data Analyst

The majority of data analysts have a STEM background and strong quantitative skills. e.g.

1. Data analysts can clean data sets, enter data into spreadsheets or online platforms, build dashboards for important KPIs, and use data to produce content for reports or artistic representations.
2. A minimum of one data processing language, such as Excel, Tableau, or SQL, will often be required of you.
3. The ability to think analytically, mathematics, statistics, business sense, domain understanding, and data visualization are additional broad knowledge and skills needed for success in data analysis.
4. Data analysts who work for themselves must have entrepreneurial skills and a comprehensive understanding of data analysis, including marketing, personal branding, social networking, lead generation, sales, content writing, accounting, and budgeting.

Steps To Get Started As A Data Analyst

Since data analytics is such a profitable industry, you should expect some competition on the freelancing path, which can take time for even experienced analysts to enter. Following are the steps to get started as a freelance data analyst;

  • Setting Up Your Area Of Expertise

Choosing the freelance data analyst you want to be should be your priority. Since, you can always develop more cutting-edge frameworks, contributing to the vastness and expansion of data analytics. Therefore, it’s important to categorize your interests and experiences into these two groups: technical skills and domain knowledge.

Which industries are you interested in, or have you worked professionally? It’s preferable to choose only one while you’re just getting started. Any one of these sectors—healthcare, education, government, energy, and retail—has an increasing demand for competent analysts to provide consultation on a few projects.

Since you’ll be spending time keeping up with the news and learning about the particular analytical challenges that your clients typically encounter, it’s ideal that this is something you’re also interested in beyond merely getting gigs. Therefore, you will become recognized as a subject matter expert by going above and above.

After that, you’ll need to decide what kind of analyst you’ll be and whether you’ll concentrate on time series forecasting, sentiment analysis, computer vision, natural language processing, or geographical data analysis. Will you use Python or R to code? Or are you proficient in widely used business tools like Power BI, Tableau, or Looker? To determine where you could have a competitive edge as a developing specialist, check over the projects you’ve completed and compile a thorough inventory of your talents.

  • Publish  A Portfolio

Whether you’re an experienced professional or just getting started, clients typically want to see your achievements before hiring you. So, you should have a website that serves as a portfolio, presenting your work and defining your skill set. It might be simple to design an online portfolio using WordPress or Notion. Examples of what a data analyst portfolio should resemble and include may be found by conducting a Google or Towards Data Science search.

In addition, it might be beneficial to include any good testimonials you’ve gotten for previously completed projects to improve your SEO (which raises the possibility that new clients can come to your website while seeking help). Write a few blog entries that either explain the code in your portfolio projects or go into a well-known analytical problem and explain it to your followers if you’re still waiting for your first client.

Consequently. this provides potential clients with a way to assess your technical abilities and essential soft skills like written communication. It is extremely important as clients are looking for more than just analytical assistance. But also the ability to explain complex statistical models to their business stakeholders.

  • Finding Clients

The first customer is the most difficult to attract. Once you’ve got the first one, you may utilize their endorsements or recommendations to get the next, gradually simplifying the procedure. But where should you look for your first client?

Networking is, as always, the answer. Your current network will provide the majority of your early leads. Sending a quick note to former coworkers you’ve made at industry conferences may be necessary if you move from a stable profession to freelancing. You will spread the net farther beyond your direct professional connections if you produce a public LinkedIn post introducing your new business.

You may also attend live or virtual conferences to expand your network. Speaking with organizations face-to-face at meetings is an excellent method to learn more about their problems and allows you to follow up later with a proposal for work that will address one of their issues.

  • Business Operations

Maintaining order in your business operations is crucial as it expands since things may rapidly get complex. A well-functioning system will also impress your clients, who will have more confidence in your capacity to manage challenging tasks on their behalf.

You must know the legal requirements for operating your business in your country. You must also set up an invoicing system, create a boilerplate contract that keep track of payments and taxes.

Freelance Platforms To Search For Gigs

To start looking for jobs, you’ll need to create an account with one or more freelance platforms.

A more extensive selection of projects is available at competitive pricing on Fiverr, a freelance services marketplace. On Fiverr, you may offer a gig at a specific price and discover who wants your talents without having to look through job descriptions. Data source connectivity, model documentation, model validation/testing, interactive/animated visualizations, online embedding, and toolbar integration are among the services that many freelance data analysts on Fiverr provide.

One of the most well-known freelancing platforms, Upwork, has more than 2,000 postings for data scientists and data analysts. You might start by sending an online cover letter and portfolio to various job openings. As you expand your client and experience list, your search ranking will subsequently increase.

Freelancers now need help getting their initial applications to work on Upwork approved. To improve your chances of getting recruited, pick more work subcategories, exact job title, and information about your education, and more samples of your previous work in your portfolio.

Toptal is a website that takes pride in connecting talented freelancers with established brands like Airbnb, Zendesk, and Pfizer. However, developing your skill set on another platform could be wise, as Toptal primarily hires freelancers with substantial experience. A language, personality, and communications interview are all parts of the Toptal screening process.

A live interview, a test project, and a 15-minute English exam are all part of Coding Ninjas’ systematic selection process. Based on skill set, and project length, Coding Ninjas links developers, and designers to projects; they do not take a percentage of payments made to freelancers.

The IT and startup communities are the target audience for AngelList. You can go through various contract work and remote employment openings. In addition, you can link to previous jobs, projects, and businesses shown in your AngelList profile. The recruiting managers will then get applications and messages directly from you. AngelList also details multiple company connections you may get in touch with to pitch your project ideas.

An online data science community is called Kaggle. To win credibility and cash, you can enter various challenges, from earthquake prediction to audio tagging for soundbites.

Other Platforms

Furthermore, several Facebook groups are available now for remote workers, freelancers, and digital nomads. You may keep up with fresh prospects by joining online communities and reading recent posts from members. Since other job-posting networks require a fee, Facebook is frequently a less expensive option for small firms to find talent. Additionally, direct communications allow you to communicate immediately.

Personal branding may be aided by beginning a blog on data analytics and engaging in online forums after you have chosen a few platforms and uploaded your profile. Additionally, you may network with other freelance data analysts who could introduce you to business prospects.

Frequently Asked Questions (FAQs)

Here are the FAQs related to Freelance Data Analyst:

1. What Does a Freelance Data Analyst Do?

Your responsibilities as a contract-based freelance data analyst are gathering and evaluating data for your client. Data analysts can work in a wide range of professions and businesses, including, but not limited to, sales, logistics, social science research, government and nonprofit, market research, banking, and healthcare.

Depending on the field, your precise tasks could change. However, you usually evaluate sales figures and performance, spot market patterns, generate reports that map your findings, and offer suggestions for future tactics.

2. Is Data Analyst Good For Freelancing?

Today, freelancing is an excellent alternative for data analysts, for both newbies and seasoned professionals. You have a lot of freedom to select your projects, manage your time, and set your rates while working as a freelance data analyst. It is also great for beginners who want to build real-world projects to gain more hands-on experience.

3. Why Do You Want to Work as a Freelance Data Analyst?

You Want to Work as a Freelance Data Analyst because you can be your boss in this role. In addition, you may handle numerous clients from various places while working remotely. This job gives you a fantastic work-life balance, a lot of personal independence, and the ability to choose your hours based on your current workload.

Predicting the long-term flow of work is a critical problem. This implies that you must consistently sell your services to attract a sizable number of potential clients.

4. Is It Hard To Get Work As A Freelance Data Analyst?

You could have difficulties at first, but if you keep working hard, you will eventually learn how to freelance as a data analyst.

5. How Much Will You Make from Freelance Data Analysis?

You may establish your pricing as a freelancer, but you should do it competitively to support your lifestyle and secure steady work.

On Upwork, freelance data analysts make a variety of salaries: $40 to $600 per project or $36 to $200 per hour.

For more complex services like geographic data analysis with visualization and machine learning/deep learning with computer vision, prices on Fiverr start at $5 to $10 and may reach up to $200.

6. Can You Be A Data Analyst Only With Excel?

Data analytics is much more than Microsoft Excel, though. It would help if you studied statistics, machine learning, how to implement models, and how to analyze the outcomes. You must comprehend the descriptive, investigative, prescriptive, and predictive components. You must visualize the data, provide insights, and solve problems.

7. Is Google Data Analytics Certification Worth It?

Earning the Google Data Analytics Professional Certification is worth the time and effort. It’s one of the most important qualifications to get while beginning a career as a data analyst.

8. Is Data Analyst An Easy Career?

Data analytics is a tremendous prospective career route for anybody wishing to achieve long-term success in a demanding, complicated, fulfilling sector. Therefore, it might be more challenging than some more intuitive fields, but that only makes it more rewarding.

9. Can I Be A Data Analyst If I’m Not Good At Math?

While data analysts must be skilled with numbers and can benefit from a basic understanding of math and statistics, most data analysis involves following a series of logical procedures. As a result, people can have limited mathematical expertise to excel in this field.

10. Can I Learn Data Analytics In 2 Months?

In 2 months, you can only truly comprehend WHAT data analysis is and HOW it is used in many fields to provide data-driven insights. Therefore, it would be best if you grasped data analysis fundamentally, then another month to develop your resume and look for a job to become a data analyst.


A freelance data analyst is an entrepreneur at heart and may offer a stable income with flexible hours. Therefore, step one is taking the time to learn the necessary skills and get started. The platforms mentioned above and hacks can assist you in marketing your services after you have gained the required expertise.

Although determining if working as a freelance data analyst is the correct move for your career might take time and effort. As we already discussed, it’s beneficial to start by looking at your areas of strength and interest. So you can also get a sense of the going market rate for various types of analytical work by looking at job opportunities on websites like Indeed and Upwork.

Hence, as you are well aware of how rapidly the area of data science and analysis is growing. You are the kind of analyst that businesses need to analyze metrics for them. Therefore, you can have a successful career in freelance data analysis using your intellect and some analysis technique.

I truly hope you have enjoyed reading this in-depth article on how to become a freelance data analyst.  If you have any questions or concerns about this, you can contact us or post a comment below. Without a doubt, we’ll assist you soon.

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About Tayyaba A

Avatar for Tayyaba AContent Manager, Writer and a Mentor: Holds a Bachelor’s Degree in Biosciences and has passion about Digital Marketing.
Tayyaba A is a Digital Content Specialist at ViralAnswer. She has 4+ years of experience in Freelance Digital Marketing. She writes about Digital Marketing and similar niches, and have diverse knowledge of marketing and freelancing. She is also an SEO expert. Her experiences include writing articles, blogs, and also academic writing. She has the ability to publish well researched content in a clear and precise manner by keeping the user’s demands in mind.

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