Data is the new gold as Data analytics is being used by businesses of all sizes and across every sector to not only analyze past transactions and incidents, but also to understand emerging patterns in consumer or user behaviour and forecast the future. If you interested to become a freelance data analyst, this is for you.
Many people who want to work in data analytics imagine a full-time, in-office job with all the benefits that come with working for a tech company. However, there is a more liberating and flexible option: freelance data analysis. So, how do you go about being a self-employed data analyst?
Freelance Data Analyst
The two principles of data analytics and data science are actually very different. To process and manipulate data, data scientists use a combination of programming and statistical analysis, creating algorithms and predictive mathematical models. While data analytics entails statistical analysis of data sets, it is often used to inform marketing, pricing, distribution, and product development decisions.
Working as a freelance data analyst entails seeking your own customers and ventures, doing your own payroll, marketing, and insurance, and controlling your own time, billing, and rates as an independent business owner.
Freelance data processing allows you to “work for yourself.” You can work from anywhere and accept clients who meet your project requirements and are looking for work in your areas of expertise. This will help you achieve a healthier work-life balance and give you more flexibility in designing a schedule that fits your needs.
Skills needed to be a Freelance Data Analyst
The majority of data analysts have a STEM background as well as a strong quantitative background. Clean data sets, enter data into online systems or spreadsheets, generate dashboards for key KPIs, and convert data into material for reports or innovative visualizations are all tasks that data analysts can perform.
You’ll almost always need to be familiar with at least one data processing language, such as Excel, Tableau, or SQL. An analytical mentality, mathematics, statistics, business acumen, domain experience, and data visualization are among the other general knowledge and skills required to excel in data analysis.
Entrepreneurial skills, such as marketing, personal branding, social networking, lead generation, sales, content writing, accounting, and budgeting, are required of freelance data analysts in addition to general data analysis expertise.
Nowadays you no longer need to obtain a data science-specific degree. For self-learners, there are a plethora of free tools. To be a data analyst, you’ll need basic computer programming skills in Python, algorithms, R for statistical analysis, Unix, and Git.
How to Get Started as Freelance Data Analyst ?
To begin, you’ll need to create an online portfolio and marketing platform in order to attract freelance data analysis jobs. Request referrals from former employers and colleagues by updating your Linkedin profile. You can also set up your own website with a personalized domain to showcase your previous projects, customers, and suggestions.
To find gigs and build a freelancer profile, you’ll probably need to register with one or more freelance sites, such as Flexgigzz.com. On Flexgigzz, freelancers can even build their own gigs (freelance services), making them the master of their own destiny.
There are also numerous Facebook groups for digital nomads, freelancers, and remote employees available today. You will keep up to date on new opportunities by joining online groups and reading recent posts from members.
Biding A project / Get First Client
Spend time crafting each plan to show that your skill set and expertise are well suited for their needs when working with clients. The freelance job market is built on a foundation of confidence. Past clients for whom you have surpassed expectations can provide several potential job opportunities.
You would also want to generate leads and send prospecting emails to companies both within and outside your current network to let them know about your services.
Freelance Data Analyst Income
The average data scientist salary, according to Glassdoor, is $113,000, with a range of $85,000 to $170,000. While you can set your own rate as a freelancer, you will need to price competitively in order to maintain your lifestyle and receive a steady flow of projects.
There might be more space for discussion for certain clients. You can also try to find out what a client’s budget is for a particular project, as pricing outside of their range will cost you business.
So, are you keen to embark on a career as a freelance data analyst? Before choosing to work as a full-time freelancer, make sure you have enough money saved up for a few months’ worth of living expenses in case your workload is slower than anticipated, and that you have set up a comfortable home office.
You can consider signing up for a freelance website like Flexgigzz.com and taking on a few side jobs in the evenings or on weekends to get used to know the life of freelancer, frequency of job offers, and your own skills at independent time management before transitioning completely to freelancing.
Source : www.springboard.com
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