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Jr Data Analyst Jobs in Oregon (NOW HIRING)

Lead Data Analyst, Marketing

OR · On-site +1

$86K - $107K/yr

... 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 ...

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers-ranging from the world's top investment ...

The Data Scientist will partner closely with FP&A, Finance, Data Engineering, and business teams to automate financial analysis, develop forecasting and predictive models, build scalable data ...

The Data Scientist will partner closely with FP&A, Finance, Data Engineering, and business teams to automate financial analysis, develop forecasting and predictive models, build scalable data ...

Finance Data Platform Specialist

OR · On-site +1

$115K - $130K/yr

Gather, analyze, and document business and functional requirements for finance data initiatives. * Prepare user stories, business rules, process flows, functional specifications, and acceptance ...

$85K - $108K/yr

Our diverse team of acquisition experts, financial analysts, engineers, logisticians, IT ... Senior Data Scientist must have knowledge of and access to program datasets and broader information ...

Showing results 41-60

Jr Data Analyst information

See Oregon salary details

$36.5K

$83.9K

$134.8K

How much do jr data analyst jobs pay per year?

As of Sep 13, 2026, the average yearly pay for jr data analyst in Oregon is $83,897.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,300.00 and $86,200.00 per year, depending on experience, location, and employer.

What are some common challenges a Jr Data Analyst faces when transitioning from academic work to a professional environment?

Jr Data Analysts often find that adapting to the pace and expectations of a professional workplace can be challenging compared to academic projects. In a real-world setting, data may be messy or incomplete, requiring analysts to spend significant time on data cleaning and validation. Additionally, Jr Data Analysts may need to quickly learn company-specific tools and balance multiple projects with tight deadlines. Collaborating effectively with cross-functional teams—such as engineering, product, or marketing—also becomes important for delivering actionable insights that support business goals.

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

To thrive as a Jr Data Analyst, you need a solid understanding of statistics, data analysis, and foundational knowledge in SQL or Excel, typically supported by a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data visualization tools (like Tableau or Power BI) and programming languages such as Python or R is highly beneficial. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies enable accurate data-driven decision-making and ensure clear, actionable reporting within organizations.

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

AspectJr Data AnalystData Analyst
Required CredentialsAssociate's degree or related certificationBachelor's degree in data-related field, certifications optional
Work EnvironmentEntry-level, supervised, team-basedMore independent, project-driven
Employer & Industry UsageCommon in tech, finance, healthcare for entry rolesWider application across industries, more advanced roles
Search & Comparison IntentOften searched by beginners or those transitioning into data rolesCompared for career progression or skill enhancement

The main difference between a Jr Data Analyst and a Data Analyst lies in experience and responsibilities. Jr Data Analysts are typically entry-level, requiring fewer credentials, and work under supervision. Data Analysts have more experience, handle complex projects independently, and often hold higher qualifications. Both roles are vital in data-driven industries, but the Jr Data Analyst position serves as a stepping stone toward becoming a full Data Analyst.

How much do junior data analysts get paid?

Junior data analysts typically earn between $50,000 and $70,000 annually, depending on location, industry, and experience. Entry-level roles often require proficiency in tools like Excel, SQL, or Python, and may include benefits such as training and career development opportunities.

How to get a job as a Jr Data Analyst with no experience?

To get a junior data analyst position with no experience, focus on building foundational skills in Excel, SQL, and data visualization tools like Tableau or Power BI through online courses or certifications. Gain practical experience by working on personal projects, volunteering, or completing internships to demonstrate your abilities to employers.

What does a Jr. Data Analyst do?

A Jr. Data Analyst collects, organizes, and analyzes data to help organizations make informed decisions. They often use tools like Excel, SQL, or data visualization software and may assist in preparing reports or dashboards under supervision. This role typically requires strong attention to detail and basic knowledge of data analysis techniques.

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

The most popular types of Jr Data Analyst jobs in Oregon are:

What job categories do people searching Jr Data Analyst jobs in Oregon look for?

The top searched job categories for Jr Data Analyst jobs in Oregon are:

What cities in Oregon are hiring for Jr Data Analyst jobs?

Cities in Oregon with the most Jr Data Analyst job openings:

Infographic showing various Jr Data Analyst job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $83,897 per year, or $40.3 per hour.

Lead Data Analyst, Marketing

OR • On-site, Remote

$86K - $107K/yr

Full-time

Re-posted 18 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.