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Banking Data Analyst Jobs in Oregon (NOW HIRING)

OR

$86K - $107K/yr

Connects data directly to levers that move the business, i.e. campaign performance, conversion ... Banking, and Marketplace verticals with a clear growth path into becoming a proactive analytical ...

Senior Risk Data Analyst Overview The Senior Risk Data Analyst is responsible for delivering data ... Preferred Experience in payments, fintech, banking, or financial services. Familiarity with ACH ...

... banking, or the payments industry. * Domain Knowledge: Strong understanding of P2P payment networks ... Analytical Skills: Proficiency in data analysis using SQL and Python. Ability to connect the dots ...

Infrastructure Data Analytics Engineer

Gresham, OR · On-site

$121K - $145K/yr

Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating ...

New

Data Product Manager

OR · On-site +1

... analysts to design high-impact data solutions. This is a subset of the overall responsibilities which involves other multiple initiatives as assigned by Bank Product leadership. This role is hybrid ...

Sr. Fraud BI Analyst

OR · On-site +1

$98K - $144K/yr

... data analytics. This is a subset of the overall responsibilities which will include multiple initiatives assigned by Bank Operations leadership. This role is hybrid (Mon through Thu on-site / Fri ...

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Showing results 1-20

Banking Data Analyst information

See Oregon salary details

$35.9K

$87.4K

$143.8K

How much do banking data analyst jobs pay per year?

As of Aug 13, 2026, the average yearly pay for banking data analyst in Oregon is $87,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $102,600.00 per year, depending on experience, location, and employer.

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

A Banking Data Analyst needs strong analytical skills, proficiency in statistics, and a background in finance, business, or a related quantitative field. Experience with SQL, Excel, data visualization tools like Tableau or Power BI, and possibly certifications such as CFA or data analytics credentials, is highly valued. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting insights to stakeholders. These skills ensure accurate financial analysis, clear reporting, and the ability to influence decision-making in a fast-paced banking environment.

What types of projects or analyses do banking data analysts typically handle in their day-to-day work?

Banking Data Analysts are often tasked with analyzing large volumes of transaction data to identify trends, forecast financial performance, and support risk management efforts. Their daily work may include preparing regular reports for management, developing dashboards to monitor key metrics, and collaborating with departments like risk, compliance, and marketing to provide actionable insights. They may also participate in projects involving fraud detection, credit scoring, customer segmentation, or regulatory reporting. These responsibilities offer exposure to a wide variety of data-driven initiatives and opportunity to make a direct impact on business strategies.

What is a banking data analyst?

A Banking Data Analyst is responsible for collecting, processing, and analyzing financial data to help banks make informed business decisions. They use statistical models and data visualization tools to identify trends, assess risks, and improve operational efficiency. Their role involves working with large datasets, ensuring data accuracy, and providing insights that support regulatory compliance and business growth. Strong analytical skills, proficiency in data tools like SQL and Python, and an understanding of banking operations are essential for this role.

What are the most commonly searched types of Banking Data Analyst jobs in Oregon? The most popular types of Banking Data Analyst jobs in Oregon are:
What are popular job titles related to Banking Data Analyst jobs in Oregon? For Banking Data Analyst jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Banking Data Analyst jobs? Cities in Oregon with the most Banking Data Analyst job openings:
Infographic showing various Banking Data Analyst job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $87,374 per year, or $42 per hour.

$86K - $107K/yr

Full-time

Re-posted 17 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.