Data Analytics

OnePay

Data Analyst leveraging extensive data analytics to enhance credit decision-making at OnePay financial services. Collaborate across teams to deliver actionable insights and strategic recommendations.

Posted 7/11/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $130,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in analytics, particularly in consumer underwriting strategy and portfolio risk analytics, leveraging advanced SQL skills to extract and analyze complex datasets. Capable of translating data insights into actionable business strategies that drive product improvements and enhance decision-making.

Highest-signal resume keywords

Consumer Underwriting StrategyPortfolio Risk AnalyticsAdvanced SQL SkillsAnalytical ThinkingCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative AnalysisData ExtractionA/B TestingPredictive Insights DevelopmentExperiment DesignData AnalysisDecision LogicSegmentation TechniquesReject Inference TechniquesUser Behavior Analysis

Soft Skills

Problem-SolvingIntellectual CuriosityEffective CommunicationAction-Oriented Mentality

Tools & Technologies

AI-Powered ToolsAnalytics Software

Industry Keywords

Business StrategyProduct AnalyticsCredit ProfilesBehavioral InsightsStrategic Recommendations

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Recommend underwriting, line/limit, and policy changes to responsibly grow approvals and usage (e.g., cutoffs, segmentation, decision logic), using internal behavior, external risk signals, and reject inference techniques.
Develop cross-product customer credit profiles by connecting external credit attributes to on-us behavior, and identify signals that generalize across products vs. are product-specific.
Drive outcomes from uncovering insights in monitoring, to recommending and executing against strategic insights.
Design, execute, and analyze experiments (A/B tests, holdouts, policy tests), turning results into strategic recommendations and roll-out plans.
Intertwine analytics with business and product strategy to craft business proposals that ultimately impact the bottom-line.
Dig into user behavior and “double-clicks” of the data to identify high-impact opportunities for product improvements or targeted outreach, including second-order impacts.
Leverage AI-powered tools and techniques to accelerate analysis, develop and validate predictive insights, and push the boundaries of what’s possible in product analytics.
Share business insights and product enhancement recommendations to senior leadership and stakeholders effectively and concisely.

Requirements

What you’ll need

4-7 years of professional experience in analytics with a proven track record of leveraging quantitative analyses to drive business or product changes in a fast-paced environment.
Demonstrated experience across consumer underwriting strategy and/or portfolio risk analytics.
Advanced SQL skills with a track record of extracting and analyzing complex datasets independently.
Strong analytical thinking and problem-solving skills — you can go from ambiguous questions to clear insights.
Proven ability to work cross-functionally to translate complex data questions into practical business guidance.
Intellectual curiosity to look beyond the ‘what’ and answer the ‘why’.
An act-like-an-owner mentality. We have a bias toward taking action.

Benefits

Comp & perks

Competitive base salary, stock options, and health benefits from Day 1
401(k) plan with company match
Remote-friendly (US), flexible time off (FTO), and opportunities for growth
A high-growth, mission-driven, inclusive culture where your work has real impact