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Weekend Data Jobs in Oregon (NOW HIRING)

OR · On-site

$130K - $155K/yr

What We Need We are looking for a Senior Data Analyst to join our Revenue Strategy, Data & Analytics team - the GTM brain trust responsible for planning the year, reading the signal, and calling the ...

Data Analyst Location - Ft Worth, TX Work Arrangement - Hybrid What we do at Weir We are a global leader in mining technology for a sustainable future. We help our customers extract the resources the ...

Data Analyst Job Details The successful candidate for this position will provide operational reporting and analysis in support of the B2B marketing strategy for digital content. Coordinating efforts ...

Data Analyst Location - Ft Worth, TX Work Arrangement - Hybrid What we do at Weir We are a global leader in mining technology for a sustainable future. We help our customers extract the resources the ...

Data Center Technician

Portland, OR · On-site

$30 - $36/hr

... weekends, or non-standard hours as needed Legal authorization to work in the U.S. without sponsorship Certifications (Preferred) CompTIA Server+ or equivalent hardware certification Data center or ...

Data Analyst Job Details Demonstrate analytical and debugging skills. Should be able to examine data patterns to identify performance issues and improvement opportunities. Must be meticulous and ...

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Weekend Data information

What are the main responsibilities and challenges of working as a Weekend Data Analyst?

As a Weekend Data Analyst, your primary responsibilities include collecting, cleaning, and analyzing data to provide insights for decision-making, often focusing on time-sensitive projects or monitoring systems that require weekend support. A common challenge in this role is managing tight deadlines and ensuring data accuracy with limited weekday resources or support. You may work independently or as part of an on-call rotation, collaborating remotely with teams to deliver timely reports or troubleshoot issues. This position offers valuable experience for those seeking to build expertise in fast-paced analytics environments and demonstrates reliability for future advancement.

What is the difference between Weekend Data vs Weekend Data Analyst?

AspectWeekend DataWeekend Data Analyst
Required CredentialsTypically a background in data management or related certificationsSame as Weekend Data, often requiring data analysis certifications or skills
Work EnvironmentPart-time or weekend-focused data management rolesPart-time or weekend-focused data analysis tasks, often in office or remote settings
Employer & Industry UsageUsed in industries needing weekend data processing, like retail or logisticsUsed in industries requiring weekend data insights, such as marketing or e-commerce

Weekend Data and Weekend Data Analyst roles share similar credentials and work environments, focusing on weekend or part-time data tasks. The main difference lies in the job focus: data management versus data analysis. Both roles serve industries that need weekend data support, but the analyst role emphasizes interpreting data to inform decisions.

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

To thrive as a Weekend Data Analyst, you need strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, mathematics, or a related field. Familiarity with data analysis tools like Excel, SQL, Python, or BI platforms, and sometimes relevant certifications, is commonly required. Attention to detail, time management, and effective communication are crucial soft skills for managing weekend workloads and sharing insights with stakeholders. These competencies ensure accurate, timely analysis and actionable reporting even within limited weekend hours.

What are Weekend Data jobs?

Weekend Data jobs refer to positions that involve working with data—such as data entry, analysis, or reporting—specifically during weekends. These roles are often part-time and may appeal to students, professionals seeking extra income, or those with weekday commitments. Weekend Data jobs can be found in industries like retail, healthcare, and IT, where data needs to be processed continuously. Common responsibilities include managing databases, cleaning data, and generating reports. Working these hours may also offer flexible scheduling or remote work opportunities.
What are the most commonly searched types of Data jobs in Oregon? The most popular types of Data jobs in Oregon are:
Infographic showing various Weekend Data job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior Data Analyst

Senior Data Analyst

NetBrain

OR • On-site

$130K - $155K/yr

Other

Medical, Dental, Retirement

Posted 14 days ago


Job description

What We Need

We are looking for a Senior Data Analyst to join our Revenue Strategy, Data & Analytics team - the GTM brain trust responsible for planning the year, reading the signal, and calling the number. This person will convert product telemetry and pipeline data into the annual operating plan, quarterly forecast, and weekly operating rhythm, serving as the single source of revenue truth across our go-to-market organization

What You'll Do

  • Own the annual operating plan (AOP) process - quota setting, capacity modeling, territory carve, and segment-level planning - translating strategic goals into a bottom-up GTM plan with clear assumptions.
  • Run the weekly forecast using commit/best/worst methodology, synthesizing Gong deal signals, pipeline movement, and coverage ratios into an accurate, defensible call of the number.
  • Build and maintain propensity-to-close, churn, and expansion models fed by product usage telemetry and firmographic data, surfacing risk and opportunity signals before they appear in lagging CRM metrics.
  • Architect and maintain the revenue data warehouse, owning identity resolution across product, marketing, CRM, and support data sources to create a unified GTM data layer.
  • Develop and continuously refine ideal-customer profiles scored on network complexity, device count, and change velocity; own TAM sizing and segment definitions.
  • Intentionally leverage AI to automate analytics, surface insights, and streamline GTM workflows - amplifying seller productivity and reducing time-to-insight across the revenue organization.
  • Partner with Sales, Marketing, Finance, and Customer Success leadership to build self-service reporting and ensure data-driven decision-making across the GTM organization.
  • Define, document, and maintain key revenue metrics and their calculation logic as the single source of truth for the business

What You Bring

  • 6-8 years of experience in revenue analytics, sales/marketing data science, or a similar function at a B2B software or SaaS company.
  • Demonstrated ownership of an annual operating plan or quota-setting process, with hands-on experience in capacity modeling and territory design.
  • Expert-level SQL across complex analytical workloads (window functions, CTEs, query optimization) and data warehouse experience (Snowflake, BigQuery, or Redshift).
  • Deep Salesforce CRM proficiency - SOQL, object relationships, custom reporting, and data quality management.
  • Hands-on forecasting experience using commit/best/worst methodology; familiarity with AI-assisted signal tools such as Gong.
  • Experience building predictive models (propensity-to-close, churn, expansion) using Python or R.
  • Strong working knowledge of GTM segmentation - ICP scoring, TAM sizing, and firmographic/technographic modeling.
  • Proven ability to translate complex analytical findings into clear executive-facing narratives and recommendations.
  • Experience integrating product usage/telemetry data into revenue models is a strong plus.
  • Familiarity with identity resolution across disparate GTM data sources (marketing automation, CRM, product, support) preferred.
  • Prior work applying AI/ML to GTM workflows - automated insight generation, NLP on call transcripts, or workflow automation - preferred.
  • Manual Dexterity: Repetitive motion of wrists, hands and fingers for using a computer.
  • Stationary Tasks: Sitting for extended periods, remaining in a stationary position.

What We Offer

Our comprehensive compensation package is vital in how we recognize our people for the impact they make on us reaching our goals as a company.

For this role, the estimated base is $130,000 - $155,000 + Bonus. The actual salary may vary based on a range of factors, including market and individual qualifications objectively assessed during the interview process.

The range listed above is a guideline and may be modified. People Experience offers a comprehensive benefits package in addition to cash compensation that includes but is not limited to 401k and medical/dental coverage. Speak with your Recruiter for more details on our Total Rewards philosophy.