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Upwork

Data Analyst

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Trustpilot

4.3(8850)

Upwork

USA, Tallmadge, Ohio

Posted a month ago

0 Applicants

Compensation

$15 - $55 per hour

Job Type

Part-time

Experience

Entry Level

No Experience

Job Frequency

20-40 hours a week

Job Overview

  • Freelance data analysts work with client organizations by taking large volumes of data, cleaning it, interpreting it, and presenting it in order to answer a particular question or provide a solution to a problem.
Job Description

How to Become a Freelance Data Analyst

 

The ability to use data analytics to make better business decisions is a valuable skill that’s in high demand. Freelance data analysts are capable of working with large volumes of data, processing it in its raw format, analyzing it, and arriving at certain conclusions for the purpose of organizational planning and problem-solving.

If you enjoy working with large volumes of data to glean insights designed to help client organizations with their decision-making, you might have what it takes to be a freelance data analyst on Upwork.

 

What does a freelance data analyst do?

 

Freelance data analysts work with client organizations by taking large volumes of data, cleaning it, interpreting it, and presenting it in order to answer a particular question or provide a solution to a problem. Data engineers typically work with computer software and programming languages like python to process data and deliver key insights to business analysts.

Data engineers also have a number of tools at their disposal, including SQL consoles, data modeling tools, statistical analysis tools, and business intelligence platforms. A number of business intelligence platforms, such as Tableau and Microsoft Power BI, enable freelance data analysts to deliver critical data and information in a way that is visually stunning and easily understood.

 

What skills do I need to become a freelance data analyst?

 

Clients hire freelance data analysts for their unique set of skills. When you’re on a freelance data analyst career path, no two clients or projects will be alike, but there are some common data analyst skills that clients look for in a data analyst role.

A data analyst job description will likely have some of these core traits:

  • Critical thinking skills. While freelance data analysts use the latest technology and software to glean helpful information from complex data, meaningful insights and solutions would not be possible without first possessing critical thinking skills.
  • Data visualization skills. Data visualization allows freelancers to present complex information with shapes, sizes, colors, and text, allowing clients to grasp information quickly and make key decisions without delay.
  • Programming capability. While freelance data analysts aren’t required to be hard-core computer programmers, having familiarity with certain programming languages and being able to handle a straightforward programming fix is an invaluable skill to have.
  • Familiarity with SQL. Large volumes of data sets and database work go hand-in-hand. By knowing their way around an SQL database, freelance data analysts can maximize their value, creating client solutions that handle large volumes of data efficiently and through easy-to-use desktop database tools.
  • Problem-solving skills. Data analysis and problem-solving are virtually interchangeable. Freelancers that excel in problem-solving always find solutions to their client’s most pressing dilemmas. Whether through an SQL database or an interactive dashboard, data analysts can use their problem-solving skills to find answers to the toughest client questions.
  • Project management skills. Whether building an SQL database or processing data through a business intelligence tool, project management skills are an essential capability for competitive freelance data analysts. Successfully shepherding a project from market research to product development will help you be that much more desirable to future clients.
  • Attention to detail. When dealing with data, one wrong number can invalidate all conclusions and recommendations from a data set. It’s incumbent upon the freelance data engineers to make sure they pay attention to things like types of data and data sources to make sure the insights they’re gleaming are correct.

 

What are the core freelance data analyst job responsibilities?

 

While analyzing data and presenting findings are perhaps the most important responsibilities, there are other tasks data analysts take on when hired for various projects.

The core responsibilities freelance data analysts typically handle during an engagement include the following:

  • Collect and analyze customer data to determine product and services preferences
  • Oversee deployments regarding new processes and data fields for production
  • Develop and manage all data visualization presentations for executive updates
  • Technical skills to establish and maintain standardizations around data processing, analysis, and solution coding
  • Ensure data accuracy used for reports and presentations
  • Manage automated backup of all data housed across multiple database systems and engines.
  • Collaborate with team members and other data scientists within the research department as well as stakeholders across the organization.

 

Should I get a degree or certification to become a freelance data analyst?

 

In addition to developing your skills via employer or client work, it is essential to obtain a degree and/or professional certification to help your Upwork profile stand out and ensure you have the most essential data analyst skills.

Some examples of popular freelance data analyst degrees or certifications include:

  • Bachelor’s degree or master’s degree in data science, mathematics, finance, statistics, computer science, economics, psychology, management information systems, or an equivalent in a related field of study from an accredited college or university
  • Certification of Professional Achievement in Data Sciences—offered by Columbia University Data Science Institute

 

Learn more here


 

Roles and Responsibilities

Collect and analyze customer data to determine product and services preferences

Oversee deployments regarding new processes and data fields for production

Develop and manage all data visualization presentations for executive updates

Technical skills to establish and maintain standardizations around data processing, analysis, and solution coding

Ensure data accuracy used for reports and presentations

Manage automated backup of all data housed across multiple database systems and engines.

Collaborate with team members and other data scientists within the research department as well as stakeholders across the organization.

Required Skills

Data Entry
Foreign Languages
Communication Skills
Attention to Detail
Research Skills
Writing and Editing
Data Analysis
Microsoft Excel

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