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Remote Meta Data Analyst Jobs in Oregon (NOW HIRING)

... analysis. You will start focusing on Insurance and Advertiser Quality, with scope that broadens ... Modeling against ad-platform data points (Google, Meta, native) * LLMs / deep learning applied to ...

... analysis. You will start focusing on Insurance and Advertiser Quality, with scope that broadens ... Modeling against ad-platform data points (Google, Meta, native) * LLMs / deep learning applied to ...

Data Analytics/Business Intelligence Job Schedule: Full time Remote: No POSITION: Data Scientist I or II DIVISION: Metrology and Analysis Systems Division (MAD) COMPANY: Hitachi High-Tech America ...

Senior Enterprise Performance Analyst

OR · On-site +1

$70K - $90K/yr

... in data analytics, enterprise performance, or a similar strategic role. Experience in healthcare or clinical trials is highly preferred How We Work Together * Location : Remote within the United ...

EHR Support Analyst

Portland, OR · Remote

$36.38 - $40.15/hr

The position is responsible for reporting and data analysis, application administration, and user ... both remote and on-site assistance to clinical and administrative staff. * Troubleshoot EHR and ...

EDI Analyst

OR · On-site +1

SOA-based integration and data management; process-driven SAP implementation; and strategic process ... EDI Analyst / Very urgent Requirment Job Type: 100% Remote job / C2C / W2 Interview Mode:

$63.75 - $82/hr

Our services include AI Implementation, Application Modernization, Data & Analytics, Product ... Remote-first * Flexible allocation depending on project availability and fit * Opportunities may ...

The Role As the Product Manager, Data & Analytics, you will define and execute the strategy for ... Work Location: Remote (US) with a strong preference for candidates willing to work a hybrid ...

Data Classification Associate, Corporate

OR · On-site +1

$16 - $20.75/hr

YipitData is the leading market research and analytics firm for the disruptive economy and most ... This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ...

Performs hands-on data analysis, profiling, querying, and validation activities to support ... Onsite, Hybrid, or Remote depending on location. * Occasional travel may be required to support ...

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 ...

YipitData is the leading market research and analytics firm for the disruptive economy and most ... This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ...

YipitData is the leading market research and analytics firm for the disruptive economy and most ... This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ...

Data Engineer (Remote / Contract)

OR · On-site +1

$114K - $137K/yr

This is a fully remote, 40-hour per week contract position with the opportunity to shape the future ... analysis * You've designed schemas and optimized queries for a data warehouse like BigQuery or ...

Growth Marketing Manager

OR · On-site +1

$100K - $165K/yr

If you come from a demanding, analytical field such as investment banking, consulting, or a ... Lead paid social across LinkedIn and Meta Ads and a focused paid search program alongside it.

Trade CoE Analyst

OR · On-site +1

$66K - $89K/yr

US Remote Interested applicants mustresidein one of the following approvedstates:Arizona,California ... Safeguard data integrity by identifying discrepancies, resolving issues, and implementing ...

$130K - $150K/yr

We leverage cutting-edge technology and data-driven strategies to provide exceptional service to ... This fully remote role will focus on developing and maintaining sophisticated quantitative models ...

Showing results 41-60

Remote Meta Data Analyst information

What is a remote meta data analyst?

A Remote Meta Data Analyst is a professional who works from a remote location to organize, manage, and analyze metadata—data that describes other data—within an organization. Their role typically involves ensuring the accuracy, consistency, and accessibility of metadata across digital systems, which helps improve data quality and supports business decision-making. They may work with data governance teams, IT departments, and business analysts to standardize data assets and comply with regulations. Strong analytical skills, attention to detail, and experience with metadata management tools are important for this role.

What are the key skills and qualifications needed to thrive as a remote meta data analyst?

To thrive as a Remote Meta Data Analyst, you need a solid understanding of data management principles, metadata standards, and a relevant degree in information science, computer science, or a related field. Familiarity with metadata management tools (such as Collibra or Alation), SQL, and data cataloging systems is typically required. Strong analytical thinking, attention to detail, and effective remote communication help you excel in this position. These skills ensure accurate data documentation, streamlined data governance, and effective collaboration across distributed teams.

How does a remote meta data analyst typically collaborate with other teams while working off-site?

As a Remote Meta Data Analyst, collaboration is primarily achieved through virtual meetings, project management platforms, and shared data repositories. You will frequently interact with data engineers, business analysts, and IT teams to ensure data accuracy, consistency, and usability. Regular check-ins, clear documentation, and proactive communication are essential for aligning on project goals and addressing any issues quickly. While remote, you are expected to be self-motivated and responsive to maintain seamless teamwork across different time zones and departments.

What is the difference between Remote Meta Data Analyst vs Remote Data Analyst?

AspectRemote Meta Data AnalystRemote Data Analyst
Required CredentialsBachelor's in Data Science, Information Technology, or related field; familiarity with metadata standardsBachelor's in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentRemote, often collaborating with data management teamsRemote, working with data sets and reporting tools
Industry UsageUsed in data management, digital asset management, and metadata catalogingCommon across finance, marketing, healthcare, and more for data insights

The Remote Meta Data Analyst focuses on managing and organizing metadata to ensure data quality and discoverability, while the Remote Data Analyst primarily analyzes data sets to generate insights. Both roles often work remotely and require strong analytical skills, but their core responsibilities differ in focus on metadata versus raw data analysis.

What cities in Oregon are hiring for Remote Meta Data Analyst jobs?

Cities in Oregon with the most Remote Meta Data Analyst job openings:

Infographic showing various Remote Meta Data Analyst job openings in Oregon as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Staff Data Scientist, Marketing

OR • On-site, Remote

Full-time

Re-posted 9 days ago


Key responsibilities

  • Own the full data science engine for a priority vertical, from problem framing to deployed model and live ROAS performance.

  • Build and validate models that drive business impact, including adtech algorithms and user acquisition or paid media modeling.

  • Collaborate with ML engineering partners to deploy, monitor, and analyze model performance to ensure measurable revenue and media efficiency.


Job description

MUST HAVE: 

  • Proven experience in digital marketing, performance marketing, or the leadgen industry
  • Building adtech algorithms and supporting user acquisition or paid media modeling (highly desired)
  • Strong modeling fundamentals: the ability to build effective models that drive business impact
  • Multi-year, hands-on experience building and deploying ML solutions in the AWS cloud
  • Hands-on experience across core technique areas: multi-armed bandit / reinforcement learning, recommendation and ranking systems (content-based, collaborative filtering, hybrid), funnel and monetization optimization, LTV modeling
  • Expert Python and SQL

EXPERIENCE: 5+ years in a hands-on, in-the-weeds applied data science role delivering measurable business impact.

YOUR ROLE

Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance, driving measurable revenue and media efficiency. This is a hands-on, in-the-weeds role: you are heavily immersed in the data and the modeling, framing the business problem directly with stakeholders, building and validating the model, handing the ML-engineering last mile to your ML engineering partner, and staying engaged through deployment, monitoring, and performance analysis.

You will start focusing on Insurance and Advertiser Quality, with scope that broadens over time. Your primary metric is ROAS.

OUTCOMES

  • Own the Insurance vertical's primary modeling work end-to-end with measurable ROAS impact
  • Deliver buying models that maintain positive ROAS and quality
  • Drive lead quality improvements across our portfolio of brands: Messaging, Funnels, Content/Listicles, and more resulting in measurable impact to revenue growth
  • Establish trusted, direct partnership with vertical business stakeholders
  • Produce trusted output: validated, documented, low correction burden
  • Identify and leverage net-new modeling opportunities the business has not flagged

COMPETENCIES

  • Business-first framing: Starts with the problem and the metric, not the model.
  • Full-stack ownership: Stays engaged from problem definition through deployed performance
  • Proactive communication: Closes loops without being chased
  • Collaborative: Leans on ML engineering for the last mile rather than working solo
  • Coachable: Seeks feedback and turns it into visible behavior change
  • Curiosity paired with delivery discipline

NICE TO HAVES

  • Sophisticated ML at companies where paid digital media is core to the business model
  • Creative embeddings work: incorporating embeddings of creatives, videos, headlines, and search into paid media models
  • Insurance domain experience
  • Creating state-of-the-art Ad Ranking algorithms
  • Modeling against ad-platform data points (Google, Meta, native)
  • LLMs / deep learning applied to personalization or content
  • Familiarity with Looker

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato's Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.