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Freelance Data Jobs in Oregon (NOW HIRING)

Nanobit, a Stillfront Group studio, is looking for a highly experienced freelance game balancer to ... Continuously refine features and events by combining player feedback, data analysis and AI insights

OR

$75/hr

Monitoring and reporting on performance data to assist in identifying trends and ensuring alignment ... Freelance roles are 1099/Independent Contractors and not eligible for employee benefits. apply for ...

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Freelance Data information

See Oregon salary details

$15

$50

$139

How much do freelance data jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for freelance data in Oregon is $50.44, according to ZipRecruiter salary data. Most workers in this role earn between $25.67 and $65.34 per hour, depending on experience, location, and employer.

Is data analysis a high paying freelance job?

Data analysis is generally considered a well-paying freelance job, with rates varying based on experience, skills, and project complexity. Experienced analysts with proficiency in tools like Excel, SQL, or Python can command higher fees, especially for specialized or large-scale projects.

What is the difference between Freelance Data vs Data Analyst?

AspectFreelance DataData Analyst
CredentialsVaries; often self-taught or with online coursesTypically requires a degree in data science, statistics, or related fields
Work EnvironmentRemote, flexible, project-basedUsually in an office or corporate setting, but can be remote
Employer & Industry UsageClients across various industries, independentOrganizations, companies, or departments within industries
Common Search & ComparisonFreelance Data vs Data Analyst

Freelance Data professionals often work independently on diverse projects, with flexible credentials and remote work setups. Data Analysts typically have formal education and work within organizations, focusing on analyzing data to inform business decisions. Both roles involve data handling but differ mainly in employment structure and credentials.

What are the key skills and qualifications needed to thrive as a freelance data analyst?

To thrive as a Freelance Data Analyst, you need strong analytical skills, proficiency with data manipulation, and a background in statistics or a related field, often supported by a degree or relevant work experience. Familiarity with tools like Excel, SQL, Python or R, and data visualization platforms such as Tableau or Power BI is typically required. Excellent communication, time management, and client relationship skills help you stand out when managing multiple projects independently. These abilities are crucial for delivering actionable insights, meeting client expectations, and building a successful freelance business.

How do freelance data professionals typically manage multiple client projects and deadlines?

Freelance data professionals often juggle several projects simultaneously, requiring strong organizational and time management skills. They usually use project management tools and clear communication to set expectations with clients regarding deliverables and timelines. Prioritizing tasks, setting realistic deadlines, and maintaining transparent updates with clients help freelancers avoid overcommitment and ensure high-quality work. Building routines and occasionally collaborating with other freelancers or subcontractors can also help distribute the workload effectively.

What is a freelance data analyst?

A Freelance Data Analyst is an independent professional who works on a contract basis to help organizations collect, process, and interpret data. They analyze data sets to uncover trends, generate insights, and support decision-making without being tied to a single employer. Freelance Data Analysts often work with multiple clients, offering flexibility and a wide range of experience across industries. Their responsibilities can include data cleaning, visualization, reporting, and sometimes creating predictive models. This role is ideal for those who enjoy working independently and have strong analytical and technical skills.

Can I do freelancing as a data analyst?

Yes, data analysts can work as freelancers by offering services such as data cleaning, analysis, and reporting to clients. Successful freelancing typically requires strong skills in tools like Excel, SQL, or Python, and building a portfolio to attract clients.

Is data entry a good freelance data job?

Data entry is a common freelance data job that involves inputting, updating, and managing information in digital systems. It typically requires attention to detail, basic computer skills, and familiarity with tools like spreadsheets or data management software. While it can offer flexible hours, pay rates vary and the work can be repetitive, making it suitable for those seeking simple, task-based freelance work.
What are the most commonly searched types of Data jobs in Oregon? The most popular types of Data jobs in Oregon are:
What cities in Oregon are hiring for Freelance Data jobs? Cities in Oregon with the most Freelance Data job openings:
Infographic showing various Freelance Data job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $104,915 per year, or $50.4 per hour.

Freelance Game Balancer (fully remote)

Stillfront

OR โ€ข On-site, Remote

Full-time

Posted 23 days ago


Job description

Nanobit, a Stillfront Group studio, is looking for a highly experienced freelance game balancer to strengthen Big Farm: Merge Game, our free to play mobile Merge-2 title. This is a hands-on role for someone senior enough to jump straight in and add value from day one.
Setup: Fully remote, start as soon as possible. Duration and weekly hours are flexible and scale with workload.
YOUR MISSION
  • Design, build and maintain gameplay systems with long term feature reusability in mind, aimed at maximising player engagement, effective monetisation and retention
  • Continuously refine features and events by combining player feedback, data analysis and AI insights
  • Build expected progression models in Excel or Google Sheets to predict how players move through the game
  • Use AI tools heavily in your daily work to boost your own output and keep the player experience cutting edge
  • Document and present your work through user stories, flowcharts and wireframes so every team and stakeholder stays aligned
  • Transfer and adapt proven mechanics from other genres
YOUR PROFILE
  • Deep expertise in F2P mobile games, experiences with Merge-2 games is a big plus
  • Strong grasp of LiveOps dynamics, including monetisation strategies, in game economies and community feedback
  • A real ownership mindset and the drive to get things done, getting your hands dirty in Google Sheets, ChatGPT and other AI tools
  • Resilient, detail oriented and a team player who keeps looking for ways to lift performance
  • Excellent written and spoken English

Department Game Design Locations Remote Remote status Fully Remote Studios Nanobit Employment types Contractor