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Remote Data Analysis Jobs in Oregon (NOW HIRING)

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Senior Business & Data Analyst

OR · Remote

$100K - $125K/yr

Conduct advanced data analysis, mining, and trend identification to surface meaningful business ... Remote For California residents: Upgrade's California Notice at Collection and Privacy Policy ...

Upstart

Principal Data Analyst, Growth Marketing

OR · On-site +1

$86K - $107K/yr

The team drives decision analysis, and develops a deep user understanding across several key ... Remote Travel requirements - As a digital first company, the majority of your work can be ...

Formfactor

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

A role is remote-eligible only when it is listed as"Remote" in the job location. Skills: Corporate Finance, Data Analysis, Developing Financial Models, Financial Reporting and Analysis, Financial ...

Instacart

Senior Data Analyst

OR · Remote

$85K - $108K/yr

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

BlueLabs, Inc.

Data Analyst I

OR · On-site +1

$67K/yr

Our polling work designs, implements, and fields tools that power our analysis and messaging. We ... Remote friendly (within the U.S.) * Pre-tax transportation options for commuting to our office in ...

Data Annotation

$50 - $60/hr

Join our team to help train the next generation of AI while enjoying the flexibility of remote work ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Aflac, Incorporated

Sr Data Consultant

$120K - $160K/yr

If the role is remote, there may be occasions that you are requested to come to the office based on ... Business Intelligence and Data Science analyses. Education & Experience Required * Bachelor ...

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All JobsRemote Data Analysis JobsRemote Data Analysis Jobs in Oregon

Remote Data Analysis information

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

To thrive as a Remote Data Analyst, you need strong analytical skills, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.
What are the most commonly searched types of Data Analysis jobs in Oregon? The most popular types of Data Analysis jobs in Oregon are:
What are popular job titles related to Remote Data Analysis jobs in Oregon? For Remote Data Analysis jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Data Analysis jobs in Oregon look for? The top searched job categories for Remote Data Analysis jobs in Oregon are:
What cities in Oregon are hiring for Remote Data Analysis jobs? Cities in Oregon with the most Remote Data Analysis job openings:
Remote Data Analysis jobs near you
Infographic showing various Remote Data Analysis job openings in Oregon as of June 2026, with employment types broken down into 93% Full Time, 6% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior Business & Data Analyst

Senior Business & Data Analyst

Upgrade

OR • Remote

$100K - $125K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

About the Role

We are looking for a Senior Business and Data Analyst who wants to help build something, not just run it. You will serve as a strategic analytics partner to business leaders across Flex Pay and the broader Upgrade commercial organization. That means owning executive-level deliverables, shaping how the team operates, and having a real say in where analytics goes next. You will transform complex data into clear, actionable insights, drive smarter decisions, improve operational performance, and shape business strategy through analytics.

What You'll Do:

Analytics and Business Intelligence

  • Conduct advanced data analysis, mining, and trend identification to surface meaningful business insights.
  • Develop and maintain KPIs, performance management frameworks, and data quality standards.
  • Perform root cause analysis, statistical hypothesis testing, and predictive and prescriptive analytics.
  • Own data governance and quality assessment practices.

SQL and Data Engineering

  • Write and optimize complex SQL queries using CTEs, window functions, joins, and stored procedures.
  • Design and maintain data models, ETL/ELT pipelines, and data warehouse structures.
  • Perform data validation, reconciliation, and transformation to ensure analytical accuracy.

Forecasting and Reporting

  • Measure and continuously improve forecast accuracy using trend analysis, seasonality analysis, and statistical methodologies.
  • Develop scenario models to support strategic decisions.
  • Design executive dashboards, scorecards, and interactive reports that tell a clear story.
  • Own QBR preparation and deliver findings directly to senior leadership, including the executive team. You will translate analytical work into business narratives that influence real decisions at the company level.
  • Build automated reporting solutions that scale across the organization.

Business Partnership and Executive Communication

  • Partner with stakeholders to gather requirements, document processes, and align on priorities.
  • Present technical analysis to C-suite leaders as business narratives and strategic recommendations.
  • Facilitate meetings, lead cross-functional collaboration, and support change management initiatives.

What We Look For:

  • Advanced SQL proficiency including complex joins, CTEs, window functions, and query optimization.
  • Experience with Tableau, Microsoft Excel, Redshift, and Databricks.
  • You use AI tools like Claude or ChatGPT as a real part of your analytical workflow, not as a novelty. You know when to use them, how to verify their output, and how to integrate them into how you work.
  • Strong foundation in statistical analysis, forecasting methodologies, and data modeling.
  • Familiarity with ETL/ELT concepts and data warehouse design.
  • Skilled at connecting metrics to business outcomes and identifying key performance drivers.

What We Offer You: 

  • Competitive salary
  • 100% paid coverage of medical, dental and vision insurance 
  • Flexible PTO
  • Competitive 401(k) 
  • Opportunities for professional growth and development 
  • Paid parental leave
  • Health & wellness initiatives

The compensation range of this position in San Francisco, CA is USD $100,000-$125,000 plus equity and benefits. Within this range, an individual's pay will be dependent on a variety of factors, including without limitation, job-related knowledge, skills, education, and experience.

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