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Data Analytics Marketing Jobs in Oregon (NOW HIRING)

Lead Data Analyst, Marketing

OR ยท On-site +1

$86K - $107K/yr

Performance Marketing Optimization : Connects data directly to levers that move the business, i.e ... Minimum 7 years in business intelligence or analytics with direct exposure to performance or ...

Overview of the Position We are seeking a strategic, analytical, and data-driven Marketing Operations Manager to own the reporting, measurement, and operational intelligence that enable Marketing ...

You will work closely with our marketing team to identify new use cases for Wdesk and suggest ... Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ...

You will work closely with our marketing team to identify new use cases for Wdesk and suggest ... Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ...

You will work closely with our marketing team to identify new use cases for Wdesk and suggest ... Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ...

Monitor and analyze marketing uplift tests with statistical rigor, present the data and insights to the team, and drive marketing decisions. * Look at complex problems and come up with testable ...

You will work closely with our marketing team to identify new use cases for Wdesk and suggest ... Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ...

You will work closely with our marketing team to identify new use cases for Wdesk and suggest ... Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ...

$22/hr

You will work closely with our marketing team to identify new use cases for Wdesk and suggest ... Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ...

You will work closely with our marketing team to identify new use cases for Wdesk and suggest ... Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ...

$22/hr

You will work closely with our marketing team to identify new use cases for Wdesk and suggest ... Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ...

You will work closely with our marketing team to identify new use cases for Wdesk and suggest ... Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ...

$22/hr

You will work closely with our marketing team to identify new use cases for Wdesk and suggest ... Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ...

You will work closely with our marketing team to identify new use cases for Wdesk and suggest ... Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ...

$22/hr

You will work closely with our marketing team to identify new use cases for Wdesk and suggest ... Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ...

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Showing results 1-20

Data Analytics Marketing information

See Oregon salary details

$71.4K

$103.4K

$126.3K

How much do data analytics marketing jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data analytics marketing in Oregon is $103,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $113,700.00 per year, depending on experience, location, and employer.

What is data analytics marketing?

Data Analytics Marketing is the practice of using data analysis techniques to evaluate marketing strategies, campaigns, and customer behaviors. Professionals in this field collect and interpret data from various sources to inform marketing decisions, optimize campaigns, and improve ROI. By leveraging tools like Google Analytics, CRM systems, and machine learning, data analytics marketers can identify trends, segment audiences, and measure the effectiveness of different marketing activities. This approach helps businesses to make data-driven decisions and tailor their strategies for better outcomes.

What are the key skills and qualifications needed to thrive as a data analytics marketing professional?

To thrive as a Data Analytics Marketing professional, a strong background in data analysis, marketing principles, and a relevant degree in marketing, statistics, or business is essential. Familiarity with analytics tools such as Google Analytics, Tableau, SQL, and digital marketing platforms is typically required, along with certifications like Google Analytics Individual Qualification (GAIQ). Analytical thinking, creativity, and effective communication are important soft skills for translating data insights into actionable marketing strategies. These skills and qualities are crucial for optimizing campaigns, measuring ROI, and driving data-driven decision-making in competitive marketing environments.

How do data analytics marketing professionals typically collaborate with other departments to drive campaign success?

Data Analytics Marketing professionals work closely with teams such as product management, sales, creative, and IT to ensure that marketing strategies are data-driven and effective. They often translate complex data insights into actionable recommendations, enabling creative teams to design targeted campaigns and sales teams to focus on high-potential leads. Regular meetings, shared dashboards, and collaborative planning sessions are common methods of cross-departmental teamwork. This collaborative environment helps ensure that marketing initiatives are aligned with overall business goals and customer needs.

What is the difference between Data Analytics Marketing vs Data Analyst?

AspectData Analytics MarketingData Analyst
Primary FocusUsing data to optimize marketing strategies and campaignsAnalyzing data across various business functions to support decision-making
Skills & CertificationsMarketing analytics tools, digital marketing certifications, data analysisStatistical analysis, SQL, Excel, data visualization
Work EnvironmentMarketing teams, digital agencies, advertising departmentsBusiness intelligence teams, data departments, various industries
Industry UsageMarketing and advertising sectorsMultiple industries including finance, healthcare, tech

While both roles involve data analysis, Data Analytics Marketing specifically focuses on leveraging data to improve marketing efforts, whereas Data Analysts support broader business decisions across various departments.

Can data analytics be used in marketing?

Data analytics is a key component of marketing roles such as Data Analytics Marketing, enabling professionals to analyze customer data, measure campaign performance, and identify market trends. Skills in tools like Excel, SQL, and visualization software are often required to interpret data effectively and inform marketing strategies.

What does a data analytics marketing do in marketing?

A data analytics marketing professional analyzes large sets of marketing data to identify trends, measure campaign performance, and inform strategic decisions. They often use tools like Excel, SQL, or marketing analytics platforms to optimize marketing efforts and improve ROI.

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

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

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

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

Infographic showing various Data Analytics Marketing job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $103,438 per year, or $49.7 per hour.

Lead Data Analyst, Marketing

LP Careers Page

OR โ€ข On-site, Remote

$86K - $107K/yr

Full-time

Re-posted 8 days ago


Job description

MUST HAVE:

  • Expert SQL & Comfortable with Unstructured Complex Data: Extracts accurate insights from raw, unstructured data without relying on clean models
  • Reporting Ownership & Data Literacy: Builds, standardizes, drives adoption, and leaves teams more data-literate
  • Performance Marketing Optimization: Connects data directly to levers that move the business, i.e. campaign performance, conversion rates, or revenue per session
  • Advanced LookML Development (or equivalent in Power BI / Tableau): Architects complex models with full understanding of downstream impacts
  • Curiosity & Business Depth: Asks questions first; driven to grow business knowledge to become a trusted analytical partner, not just a builder

EXPERIENCE: Minimum 7 years in business intelligence or analytics with direct exposure to performance or affiliate marketing. The strongest candidates have owned reporting end-to-end, from pipeline to dashboard, worked with messy, complex, third-party data, and partnered closely with business teams to uncover meaningful trends, conduct retrospective analyses, and connect data work to decisions that actually moved the business.

YOUR ROLE

Launch Potato is looking for a Lead BI Developer to own the reporting infrastructure that powers decision-making across our Credit Cards, Make Money/Manage Money, Banking, and Marketplace verticals with a clear growth path into becoming a proactive analytical partner who helps the team see around corners.

You'll be embedded with the business from day one, partnering closely with our Yield, Paid Media, and Account Management teams to uncover meaningful trends, conduct retrospective analyses across experiments, creatives, offers, seasonality, and CAC performance, and challenge the team with insights they aren't currently seeing. This is NOT a role for someone who wants to build dashboards and hand them off, it's for someone who cares deeply about whether the work they build gets used, understood, and acted on.

Outcomes (Performance Expectations)

  • 30 Days in: Actively engaged with stakeholders to audit what reporting the team is consuming and why, i.e. identifying discrepancies, redundancies, and inconsistencies across existing dashboards and beginning to develop a roadmap to standardize reporting across your verticals.
  • 60 Days in: Bridging business context and data understanding by being able to articulate how assigned verticals make money and what the key performance levers are. Actively improving dashboard standardization while executing on ad hoc requests with accuracy and business context.
  • 90 Days in: Dashboard standardization is in execution and a clear roadmap exists for how trusted data sources will be developed to improve the efficiency of data consumption. LookML structure is understood well enough to begin making changes with full awareness of downstream impacts. Working relationships with Yield, Paid Media, and Account Management are established.
  • 6 Months in: Trust is built with the business team through education, best practices, and a standardized reporting suite that enables confident self-service analytics. Proactive retrospective analyses are being delivered across experiments, creatives, offers, seasonality, and CAC performance. Strong understanding of the full funnel metrics that support each team.
  • Year 1: Trusted technical owner for assigned verticals end-to-end, from raw data ingestion through final dashboard. Reporting standardization is complete, retrospective analysis is a consistent output, and the business team views you as a go-to analytical partner who recommends action, not just reports findings.

Competencies

  • Analytical Rigor: Asks the hard questions and traces discrepancies to the source before drawing conclusions.
  • Reporting Ownership: Engages stakeholders to understand how reporting is used before building, i.e. creates dashboards that are adopted, not just delivered.
  • Business Acumen: Invests in understanding the business by asking the right questions before pulling the data.
  • Communication: Asks enough upfront to make sure the answer lands with the right context for the right audience.
  • Proactive Ownership: Surfaces problems early, engages before being asked, and drives work forward with a clear point of view.
  • Collaboration: Builds trust by asking genuine questions and showing they care about what stakeholders need, not just what they asked for.
  • Curiosity & Growth: Asks more than most and is driven to grow from technical executor into analytical partner over time.

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.