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From Home Data Analytics Jobs in Oregon (NOW HIRING)

Consensus Cloud Solutions

Sr. Data Analyst - Finance

OR · On-site +1

$120K - $130K/yr

Design, build, and maintain scalable data models from our data lake that power financial forecasting, budgeting, and ad-hoc analysis. * SQL Queries: Develop and optimize SQL queries for data ...

Trilon

Civic Data Analyst (Sustainable Mobility)

Portland, OR · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Engage across Alta's disciplines to understand data analytics needs, priorities, and expectations ... Flexible Schedule Alta offers a flexible, hybrid work schedule where most employees work from home ...

Socket.dev

BMPS Data Analyst

Grants Pass, OR · On-site

$70 - $95/hr

  • Medical

  • Retirement

Understanding, using, and incorporating clinical data derived from CCD, CCDA, and FHIR ... Education Bachelor's degree in Health Informatics, Data Analytics, Computer Science, Information ...

New

Allcare-Health

BMPS Data Analyst

Grants Pass, OR · On-site

$76.96 - $83.20/hr

  • Medical

  • Retirement

Understanding, using, and incorporating clinical data derived from CCD, CCDA, and FHIR ... Education Bachelor's degree in Health Informatics, Data Analytics, Computer Science, Information ...

New

Premier Staffing Solution

OR

Not just through analytics, but by helping shape the future of our mobile equipment strategy across the network. About the Role You will be part of a cost-focused team that leverages data to drive ...

OCHIN

PROGRAM EVALUATION/DATA ANALYST (CA)

Portland, OR · On-site

OCHIN provides leading-edge technology, data analytics, research, and support services to nearly 1 ... Work from home requirements are: * Ability to work independently and efficiently from a home office ...

Procom Consultants Group

Data Analyst

Hillsboro, OR

Data Analyst Mandatory Skills - BS degree with a technical discipline such as Mathematics, Computer Science, Information Systems, Engineering - Experience extracting and manipulating data from ...

Procom Consultants Group

Data Analyst

Hillsboro, OR

Data Analyst Job Details Activities could include but is not limited to the following: Analysis of data to find patterns, Development of applications for data gathering and analysis, Developing ...

Formfactor

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... product life cycle - from characterization, modeling, reliability, and design de-bug, to ... This role will leverage best practices in data modeling, visualization, and analytics to deliver ...

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All JobsData Analytics JobsFrom Home Data Analytics JobsFrom Home Data Analytics Jobs in Oregon

From Home Data Analytics information

What is a work from home data analyst?

A work from home data analyst is a professional who collects, processes, and interprets data to help organizations make informed decisions—all while working remotely. They use statistical tools and software to analyze large datasets, identify trends, and create reports or visualizations. These analysts often collaborate with teams through digital communication platforms and can work in a variety of industries, such as finance, healthcare, or marketing. The flexibility of remote work allows them to perform their tasks from any location with a reliable internet connection.

What are the key skills and qualifications needed to thrive as a work from home data analyst?

To thrive as a Work-From-Home Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or data science. Experience with technical tools like SQL, Excel, Python, R, and data visualization platforms (e.g., Tableau or Power BI) is typically required. Excellent communication, self-motivation, and time management skills help remote analysts collaborate effectively and deliver insights independently. These competencies ensure accurate data interpretation, effective remote teamwork, and impactful business decision-making.

How do remote data analytics professionals typically collaborate with team members and stakeholders while working from home?

Remote data analytics professionals often use a combination of video meetings, instant messaging, and collaborative platforms to stay connected with their teams and stakeholders. Regular virtual stand-ups, shared dashboards, and cloud-based project management tools help ensure transparency and real-time updates on projects. Effective communication and proactive sharing of insights are important for building trust and ensuring that data-driven recommendations are clearly understood and implemented by business partners. While remote, you'll need to be comfortable with both asynchronous and synchronous collaboration to keep projects on track.

What is the difference between From Home Data Analytics vs From Home Data Analyst?

AspectFrom Home Data AnalyticsFrom Home Data Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in analytics toolsBachelor's in Data Science, Analytics, or related field; proficiency in analytics tools
Work EnvironmentRemote, often project-based or consulting rolesRemote, typically in corporate or consulting settings
Employer & Industry UsageTech companies, consulting firms, finance, healthcareTech companies, finance, marketing, healthcare
Common Search & ComparisonYesYes

From Home Data Analytics involves analyzing data remotely across various industries, often focusing on strategic insights. From Home Data Analyst typically performs data analysis tasks remotely within specific organizations, focusing on reporting and operational insights. Both roles require similar skills and credentials but differ slightly in scope and industry application.

Can you work from home in data analytics?

Data analytics jobs often offer remote work options, especially for roles involving data analysis, reporting, and visualization that can be performed using tools like Excel, SQL, and Python. Many companies allow data analysts to work from home full-time or part-time, provided they have a reliable internet connection and the necessary software. Remote work arrangements depend on the employer's policies and the specific responsibilities of the role.

Is data analytics a good career for remote work?

Data analytics is well-suited for remote work because many tasks involve analyzing digital data, using tools like Excel, SQL, and visualization software. Professionals in this field can often collaborate virtually and manage their schedules independently, making remote work a common and viable option.

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

The most popular types of Data Analytics jobs in Oregon are:

What are popular job titles related to From Home Data Analytics jobs in Oregon?

For From Home Data Analytics jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching From Home Data Analytics jobs in Oregon look for?

The top searched job categories for From Home Data Analytics jobs in Oregon are:

What cities in Oregon are hiring for From Home Data Analytics jobs?

Cities in Oregon with the most From Home Data Analytics job openings:

From Home Data Analytics jobs near you
Infographic showing various From Home Data Analytics job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, and 4% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution.

Sr. Data Analyst - Finance

Consensus Cloud Solutions

OR • On-site, Remote

$120K - $130K/yr

Full-time

Re-posted 12 days ago

Job description

How you will impact the organization...

We are looking for a data-driven Senior Data Analyst to join our finance team. You will support and advocate for the finance teams data needs throughout the organization. You will collaborate with Data Engineering on data pipelines, identifying and solving complex data issues, contributing to the accuracy, completeness, consistency, and timeliness of data.

The value you will deliver...

  • Maintain Data Sets: Design, build, and maintain scalable data models from our data lake that power financial forecasting, budgeting, and ad-hoc analysis.
  • SQL Queries: Develop and optimize SQL queries for data retrieval, transformation, and analysis.
  • Dashboarding & BI: Develop, launch, and maintain automated, executive-ready BI dashboards (Tableau, PowerBI, or Looker).
  • Cross-Functional Collaboration: Partner closely with Sales Operations, Data Engineering, and Product teams to align disparate data sources (e.g., Salesforce, Stripe, Oracle) into a single source of truth for Finance.
  • Data Governance: Ensure the absolute integrity and accuracy of financial data used for board meetings, investor relations, and regulatory reporting.
  • Perform other duties and responsibilities as required, assigned, or requested. Consensus reserves the right to add or change duties at any time.

What you will bring to the table...

  • Experience: 3 to 5 years of experience in data analytics, business intelligence, or financial analytics, ideally within a B2B SaaS environment.
  • SQL Mastery: Advanced SQL skills are non-negotiable. You can write complex, optimized queries, handle window functions, and manage large-scale data manipulation with ease.
  • Automation: Support automation and process improvements to increase efficiency, scalability, and self-service analytics within the organization.
  • Work Independently: Proven solid analytical and problem-solving skills, with the ability to independently investigate issues and deliver insights.
  • Analytics Engineering & BI: Experience with modern data stacks including cloud-based databases. Hands on experience with data warehousing tools (e.g., Snowflake, BigQuery, Redshift). Experience with data visualization and BI tools for creating intuitive dashboards (Tableau strongly preferred). Proven ability to build and manage data pipelines independently, from ingestion to reporting.
  • Communication: Proven excellent communication skills with the ability to explain complex data findings to both technical and non-technical stakeholders.

You will stand out if you also have...

  • Education: Bachelor's degree in Data Analytics, Finance, Economics, Statistics, Information Systems, or a related field, or equivalent practical experience
  • Technical Extras: Proficiency in Python or R for advanced statistical analysis and predictive modeling is a strong plus.

Additional details... 

  • Location requirements: Fully remote within the U.S. 
  • Open to US-based remote candidates, with a preference for PST/MST/CST time zones. EST candidates will be considered if open to working PST hours.
  • Physical requirements: Must be able to sit for long periods, as well as, handle long periods of screen time.
  • Technology requirements: Reliable, high speed internet
  • Eligible for sponsorship: No
  • This position is contingent upon satisfactory completion of a more extensive background check through the Federal Government as a Public Trust Position. Requirements include (subject to change), but are not limited to, active U.S. Citizenship or green card holder residing in the U.S. for a minimum of 3 consecutive years and working location is in the U.S.

Salaried Roles
The salary range for this role is $120,000-$130,000 annually.  The total compensation package for this position is negotiable and may also include annual performance bonus, ESPP, enhanced time off packages and benefits. This job doesn't have an expiration date and will remain open until a qualified candidate is hired. 

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