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Freelance Data Analyst Jobs in Remote, OR (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

Freelance Data Analyst information

See Remote, OR salary details

$13

$32

$61

How much do freelance data analyst jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for freelance data analyst in Remote, OR is $32.89, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.73 per hour, depending on experience, location, and employer.

What does a freelance data analyst do?

As a freelance data analyst, your duties are to collect data and interpret it for your client on a contract basis. Data analysts can work in many industries and fields, including sales, logistics, social science research, government and nonprofit, market research, banking, and healthcare, to name just a few. Your specific responsibilities may differ depending on the field. However, generally, you use a variety of analytical tools to assess things like sales numbers and performance, identify market trends, and write reports that chart your analysis and provide recommendations for future strategies.

What is a freelance data analyst?

Freelance data analysts are independent professionals who analyze data for clients on a project-by-project basis rather than working as full-time employees for a single organization. They collect, process, and interpret data to help clients make informed decisions, often using tools like Excel, SQL, Python, or R. Freelance data analysts may work with businesses across various industries, providing insights, building reports, and creating data visualizations. Their flexible work arrangement allows them to take on multiple clients and projects according to their expertise and availability.

How much does a freelance data analyst earn?

Freelance data analysts typically earn between $25 and $100 per hour, depending on experience, skills, and project complexity. Annual earnings can vary widely, often ranging from $50,000 to over $100,000 for experienced professionals working on multiple projects or specialized tasks.

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

To thrive as a Freelance Data Analyst, you need strong analytical skills, a solid understanding of statistics, and proficiency in data visualization, often backed by a degree in a quantitative field. Familiarity with tools such as Excel, SQL, Python or R, and platforms like Tableau or Power BI is typically expected, and certifications in data analytics can enhance credibility. Excellent communication, time management, and client relationship skills help freelancers stand out by effectively translating insights and managing multiple projects. These competencies ensure accurate analysis, actionable reporting, and client satisfaction in a competitive freelance environment.

Are freelance data analysts in demand?

Freelance data analysts are in high demand due to the increasing reliance on data-driven decision making across industries. Skills in statistical analysis, data visualization tools like Tableau or Power BI, and programming languages such as Python or R enhance employability in this flexible role.

What is the difference between Freelance Data Analyst vs Data Scientist?

AspectFreelance Data AnalystData Scientist
CredentialsTypically requires a bachelor's degree in data analysis, statistics, or related fieldsOften requires advanced degrees (Master's or PhD) in data science, computer science, or related areas
Work EnvironmentFreelance, project-based, remote or on-siteFull-time, employed by organizations, often remote or in-office
Industry UsageUsed across various industries for data reporting and analysisUsed for developing models, machine learning, and predictive analytics

Freelance Data Analysts focus on interpreting data, creating reports, and providing insights on a project basis, while Data Scientists develop complex models and algorithms to predict trends. Both roles require strong analytical skills, but Data Scientists typically have more advanced technical expertise and education.

How do freelance data analysts typically manage project timelines and client communication?

Freelance data analysts often juggle multiple projects for different clients, making strong time management and clear communication essential. They usually set expectations upfront regarding deliverables and deadlines, using project management tools or shared documents to track progress. Regular updates and check-ins—often via email, video calls, or collaborative platforms—help keep clients informed and engaged throughout the analysis process. This structured approach ensures projects stay on track and fosters positive client relationships, which are crucial for repeat business and referrals.
What are the most commonly searched types of Data Analyst jobs in Remote, OR? The most popular types of Data Analyst jobs in Remote, OR are:
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What cities near Remote, OR are hiring for Freelance Data Analyst jobs? Cities near Remote, OR with the most Freelance Data Analyst job openings:
Infographic showing various Freelance Data Analyst job openings in Remote, OR as of August 2026, with employment types broken down into 49% Full Time, 34% Part Time, 9% Temporary, and 8% Contract. Highlights an 61% In-person, and 39% Remote job distribution, with an average salary of $68,420 per year, or $32.9 per hour.

Freelance Game Balancer (fully remote)

Stillfront

Myrtle Point, OR • Remote

Full-time

Posted 20 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