Business Analyst

justt

. Analyze merchant chargeback performance, including recovery rate, win rate, volumes, and trends, and explain performance drivers .

Posted 11/1/2026full-timeTel Aviv-Jaffa • IsraelMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in analyzing chargeback performance and driving data-driven optimizations to enhance client outcomes. Proficient in SQL and BI tools, with strong communication skills for presenting insights to stakeholders.

Highest-signal resume keywords

Advanced SQLBusiness AnalysisData Visualization (Tableau)Chargeback ExpertiseClient-Facing Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisRoot-Cause AnalysisPerformance Metrics TrackingData EnrichmentEvidence Improvement

Soft Skills

Excellent CommunicationStrong Business SensePresentation Skills

Tools & Technologies

BI ToolsTableauPython

Industry Keywords

ChargebacksPaymentsPSPsFraud PreventionFintechE-Commerce

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Analyze merchant chargeback performance, including recovery rate, win rate, volumes, and trends, and explain performance drivers
Break down performance by PSP, card scheme, reason code, and dispute type to identify gaps and improvement opportunities
Identify and drive optimizations involving data enrichment, evidence and argument improvements, and fight/don't-fight strategy; measure their impact
Prepare data-driven QBRs/EBRs and client-facing performance reports with CSM and SE teams
Build and maintain dashboards and recurring reports tracking client health and key commercial metrics
Run root-cause analysis when performance drops and recommend clear next steps
Identify upsell and expansion opportunities from client data, including pre-dispute alerts and new coverage
Act as a subject matter expert on chargeback rules, scheme regulations, and dispute processes
Turn recurring client needs into structured feedback and requirements for Product
Present findings and recommendations clearly to internal stakeholders and clients
Work closely with Solution Engineers, Customer Success, Sales, Product, and R&D
Support live clients throughout their lifecycle, from performance reviews and ongoing optimization to executive-level business reviews

Requirements

What you’ll need

Degree in Industrial Engineering, Economics, Mathematics, Statistics, or another quantitative field
3–5+ years of experience as a business, data or commercial analyst, ideally in a client-facing or B2B environment
Advanced SQL
Proficiency with BI/analytics tools (e.g., Tableau)
Experience with Python for data analysis is an advantage
Strong business sense, with the ability to connect data to commercial outcomes and client value
Excellent communication skills, comfortable presenting insights to clients and senior stakeholders
Experience in a customer-facing analytics role (e.g., supporting CS/AM, preparing business reviews) is an advantage
Understanding of chargebacks, payments, PSPs or fraud prevention in fintech or e-commerce is an advantage