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Game Data Analyst Remote Jobs in Oregon (NOW HIRING)

Lead Data Analyst

OR · On-site +1

$160K - $200K/yr

About the Role The Lead Data Analyst is the senior individual contributor on our Data Analytics ... We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.

Senior Data Analyst

OR · On-site +1

$90K - $125K/yr

We're looking for an experienced Senior Data Analyst to help us design and execute on clinical ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Senior Data Analyst

OR · On-site +1

$85K - $108K/yr

ABOUT THE TEAM The Financial Data Analytics team is the connective tissue between Finance ... Remote

The Data Analyst, Home Lending role will be critical in strengthening our first-line secured ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Senior Data Analyst

OR · On-site +1

$80/hr

As a remote-first company, we're focused on providing opportunities for high performing individuals ... A Senior Data Analyst at Array will bring foundational knowledge in data analysis and lead our ...

Sr. Data Analyst - Finance

OR · On-site +1

$120K - $130K/yr

We are looking for a data-driven Senior Data Analyst to join our finance team. You will support and ... Fully remote within the U.S. * Open to US-based remote candidates, with a preference for PST/MST ...

Staff Data Analyst, Servicing

OR · On-site +1

$61K - $81K/yr

As the Staff Data Analyst on the Servicing Analytics team, you will play a pivotal role in ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

We are seeking a highly skilled and motivated Senior Data Analyst to play a pivotal role in ... A role is remote-eligible only when it is listed as"Remote" in the job location. Skills: Corporate ...

Continuously refine features and events by combining player feedback, data analysis and AI insights ... Excellent written and spoken English Department Game Design Locations Remote Remote status Fully ...

Summary: The Project Cost Controls Analyst will deliver data-driven financial and strategic ... This role is fully remote with travel to the site required periodically (up to 25%). Specific ...

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Game Data Analyst Remote information

What does a remote game data analyst do?

A remote Game Data Analyst collects, processes, and interprets large sets of data generated by players in video games. They use statistical techniques and data visualization tools to identify player behaviors, trends, and areas for game improvement. Working remotely, they collaborate with game designers, developers, and marketing teams to provide insights that inform game development, monetization strategies, and player engagement. Their work helps ensure the game remains fun, fair, and profitable.

How does a remote game data analyst typically collaborate with development and design teams?

As a remote Game Data Analyst, collaboration with development and design teams usually happens through regular virtual meetings, shared dashboards, and project management tools. Analysts provide actionable insights from player data, helping designers refine game features and developers optimize gameplay mechanics. Effective communication and clear data visualizations are key, as you'll often translate complex metrics into recommendations that drive game improvements. Building strong remote relationships and maintaining open channels for feedback are essential for success in this role.

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

To thrive as a Game Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field, often supported by a relevant degree. Experience with data analysis tools like SQL, Python, R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, problem-solving abilities, and a passion for gaming help analysts convey insights and collaborate effectively with game development teams. These skills ensure data-driven decisions that enhance player experience and drive business growth in the gaming industry.

What is the difference between Game Data Analyst Remote vs Game Data Scientist?

AspectGame Data Analyst RemoteGame Data Scientist
Required CredentialsBachelor's in Data Science, Analytics, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentRemote, collaborative with game development teamsRemote or on-site, often more research-focused
Industry UsageCommon in gaming companies for analytics rolesLess common, more specialized in data modeling and AI
Search & Comparison IntentOften compared for analytics roles in gamingCompared for advanced data modeling roles in gaming

Game Data Analyst Remote and Game Data Scientist roles share similarities in industry and remote work settings but differ in complexity and focus. Data analysts primarily interpret game data to improve user experience, while data scientists develop predictive models and advanced analytics. Understanding these differences helps candidates choose roles aligned with their skills and career goals.

What are the most commonly searched types of Game Data Analyst jobs in Oregon?

The most popular types of Game Data Analyst jobs in Oregon are:

What job categories do people searching Game Data Analyst Remote jobs in Oregon look for?

The top searched job categories for Game Data Analyst Remote jobs in Oregon are:

Infographic showing various Game Data Analyst Remote job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Lead Data Analyst

Parachute Health

OR • On-site, Remote

$160K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Job description

About the Role

The Lead Data Analyst is the senior individual contributor on our Data Analytics team - a Level IV role on our analytics ladder, with no direct reports. You lead through expertise: setting the analytical bar, mentoring analysts, and being the person leadership comes to when a question needs a real answer rather than a guess.

Data Analytics sits under Revenue Operations, but we're a central function that supports the entire organization - clinical operations, supplier performance, payor and network data, product, finance, and go-to-market. The work is broad by design. The core of the job is being an excellent analyst: taking an ambiguous question from any corner of the business, building a rigorous analysis, and delivering a conclusion people can act on. We're hiring for analytical strength and range, not depth in one domain.

Responsibilities Analytical leadership
  • Lead end-to-end analyses on high-stakes, often ambiguous questions - from framing the problem through recommendation and impact measurement.
  • Design dashboards and reporting frameworks that let stakeholders answer their own routine questions without opening a ticket - and recognize when a dashboard is the wrong answer.
  • Set the bar for analytical rigor, methodology, and documentation. By example and by reviewing others' work, not by mandate.
  • Apply statistical methods, experimentation design, and causal inference where they sharpen a conclusion rather than decorate it.
  • Move between business domains and be credible in each, rather than owning one.
  • Partner with leadership to identify where data can drive efficiency, growth, and improve outcomes - including the questions nobody has asked yet.
Partnership with analytics engineering
  • Work closely with analytics engineers on data modeling. You'll shape what gets built in the warehouse layer, not just consume it.
  • Turn recurring analytical needs into durable models instead of one-off queries.
  • Hold a high standard for canonical definitions - when two reports disagree, you're the one who finds out why.
Team contribution (not people management)
  • Mentor analysts on technique and business judgment. You don't manage anyone - you're the person newer analysts learn from.
  • Translate findings into clear, concise language for both technical and non-technical audiences. If a new hire couldn't repeat the takeaway back to you, it isn't ready to ship.
  • Influence senior stakeholders, including being the one who says "the data doesn't support that" to someone who wanted a different answer.
What we're looking forExperience
  • 8+ years in data analysis, business intelligence, or a comparable analytical role, with a track record of insights that changed how a business made decisions.
  • 2+ years operating at a senior analyst level - owning complex projects end-to-end and holding others to a quality standard.
  • Experience supporting multiple business functions from a central analytics team.
  • Bachelor's degree in a quantitative or technical field, or equivalent experience.
  • Hands-on experience with modern cloud data warehouses (BigQuery, Snowflake, Redshift, or similar).
  • Nice to have: exposure to revenue and go-to-market data - pipeline, forecasting, funnel, retention, CRM.
Technical skills
  • Expert-level SQL. Strong Python for statistical work.
  • Advanced Looker or comparable BI tool experience - LookML, dashboard design, and semantic layer thinking.
  • Working knowledge of experimentation design and causal inference - enough to catch correlation being mistaken for causation.
  • Comfort collaborating with analytics engineers on data modeling and warehouse design.
How you work
  • You take a half-formed business question and turn it into a structured analysis without someone holding your hand.
  • You mentor without formal authority - people want your input because it's good, not because you outrank them.
  • You get up to speed on an unfamiliar part of the business quickly, and you'd rather serve ten stakeholders than one.
  • You operate well in ambiguity and move with urgency.

Comfort working with data adjacent to patient and healthcare information, and sound judgment about handling sensitive information, is a plus given our industry.

Benefits

  • Medical, Dental, and Vision Coverage: Comprehensive plans with options for low-to-no-cost premiums.
  • Employer HSA Contribution: Company-funded contributions to your Health Savings Account.
  • 401(k) Retirement Plan
  • Equity Incentive Plan
  • Annual Company-Wide Bonus: Opportunity for up to 15% bonus based on company performance.
  • Remote-First Culture: We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.
  • Flexible Vacation Policy
  • Summer Fridays: 5 additional Fridays off during the summer (separate from PTO).
  • Home Office and Wellness Stipend
  • Monthly Internet Stipend
  • Annual Learning and Development Stipend

Base Salary Bands (based on experience and level)

 $160,000 - $200,000