Data Analyst

KYG TRADE™

AI-Native Global Trade & Tariff Management | Recognized in the 2025 Gartner® Market Guide

Customer Success Data Analyst – Implementation & Execution

Full-Time | Hybrid Irvine, CA/Remote | US Based

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KYG Trade™ is an AI-native, enterprise-grade Global Trade and Tariff Management (GTM²) platform that turns trade compliance complexity into clarity. Recognized in the 2025 Gartner® Market Guide for Global Trade Management, KYG Trade™ delivers expert-trained AI across import and export compliance, tariff optimization, forced labor/UFLPA, FTA qualification, restricted party screening, and supply chain ESG traceability — all on a single platform.d

KYG Trade™ integrates with enterprise ecosystems including SAP ECC, SAP S/4HANA, SAP GTS, Oracle ERP, Windchill, and other leading ERP, PLM, TMS, and risk systems, enabling customers to deploy trade controls and workflow automation in complex global environments.

The Customer Success Data Analyst – Implementation & Execution will support KYG Trade™ customer onboarding, implementation, and adoption by owning critical data analysis, data readiness, reporting, configuration support, and customer-facing execution activities across the Customer Success organization.

This role is designed for someone who can operate at the intersection of data analysis, SaaS implementation, customer success, and trade compliance operations. The analyst will help customers prepare and validate product, supplier, classification, origin, FTA, screening, and workflow data so KYG Trade™ implementations can move from discovery to configuration, testing, training, go-live, and post-go-live adoption with discipline and clarity.

The ideal candidate is analytical, detail-oriented, customer-facing, and comfortable working with messy enterprise data, implementation templates, system exports, workflow outputs, user analytics, and cross-functional project teams. This person should be able to translate data findings into clear customer-ready summaries, identify risks before they become blockers, and support implementation teams with practical execution.

·   Support customer onboarding and implementation workstreams by analyzing customer product, supplier, BOM, classification, origin, FTA, screening, and workflow data for completeness, quality, consistency, and readiness.

·   Partner with Customer Success Project Managers, Implementation Leads, Solution Architects, trade SMEs, Product, Engineering, AI, and customers to define data requirements, templates, mapping needs, validation rules, and acceptance criteria.

·   Prepare, clean, transform, compare, and validate customer data sets for platform configuration, migration, testing, workflow setup, AI-assisted classification, FTA qualification, supplier solicitation, restricted party screening, and reporting use cases.

·   Create customer-ready analysis outputs including data readiness summaries, validation trackers, issue logs, user analytics reports, classification progress reports, attestation summaries, adoption metrics, and executive-friendly status views.

·   Assist with platform configuration and implementation setup activities, including customer data uploads, user/workflow setup support, LOV/reference data review, test data preparation, and coordination of environment readiness.

·   Support user acceptance testing by preparing test data, tracking defects or configuration gaps, validating expected outcomes, documenting findings, and coordinating follow-up with internal teams.

·   Help customers understand data dependencies and downstream operational impacts by explaining how data quality affects classification, FTA/origin analysis, screening, supplier engagement, audit records, and reporting outcomes.

·   Participate in customer workshops, office hours, trainings, and implementation meetings to capture data-related requirements, clarify open questions, and provide practical guidance to customer stakeholders.

·   Track data-related risks and blockers across implementations, escalate issues early, and help maintain RAID logs, action trackers, and implementation status materials.

·   Develop reusable templates, checklists, data dictionaries, validation methods, reporting formats, and playbooks that improve implementation speed, quality, and repeatability.

·   Support internal CS execution by maintaining account-level analytics, customer usage insights, onboarding metrics, implementation dashboards, and operational reporting as needed.

·   Collaborate with Product and Engineering to document data issues, workflow defects, reporting gaps, customer enhancement requests, and recurring implementation pain points.

·   Operate with high attention to detail and a strong customer-service orientation, ensuring deliverables are clear, accurate, timely, and ready for customer or leadership review.

·   2 years of experience in data analysis, SaaS implementation, customer success operations, business analysis, project coordination, supply chain operations, trade compliance, or adjacent analytical/customer-facing roles.

·   Strong Excel and data manipulation skills, including comfort with CSV/XLSX files, lookups, pivots, formulas, data cleansing, deduplication, reconciliation, and structured validation workflows.

·   Ability to analyze incomplete or inconsistent customer data and translate findings into clear risks, requirements, next steps, and customer-facing recommendations.

·   Experience supporting software implementations, onboarding projects, data migrations, system configuration, UAT, workflow testing, reporting, or operational process improvement.

·   Strong written and verbal communication skills with the ability to explain data issues and implementation dependencies to both technical and non-technical stakeholders.

·   Comfort working directly with customers in workshops, office hours, data reviews, training sessions, and implementation touchpoints.

·   Strong organizational discipline, including comfort maintaining trackers, status reports, issue logs, validation notes, meeting follow-ups, and implementation documentation.

·   Ability to work cross-functionally with Customer Success, Project Management, Product, Engineering, AI, Managed Services, Sales, and trade SMEs in a fast-moving environment.

·   Interest in global trade, customs compliance, product classification, origin/FTA, supplier engagement, restricted party screening, tariff management, ESG traceability, or supply chain data.

·   Preferred: Experience with SQL, BI/reporting tools, Python, data visualization, SaaS analytics, ERP/PLM exports, product master data, BOM data, or supplier data.

·   Preferred: Experience in global trade management technology, customs brokerage, trade consulting, supply chain software, regulatory technology, or enterprise SaaS implementation.

·   Preferred: Familiarity with AI-enabled workflows, human-in-the-loop review, data enrichment, structured prompts, knowledge-base development, or customer adoption analytics.

·   Category-defining platform: Help deliver a modern, AI-native GTM solution in a market shaped by rising tariff complexity, customs scrutiny, forced labor enforcement, supply chain disruption, and increasing demand for automation.

·   High-impact customer work: Support customer implementations and onboarding motions that directly improve compliance outcomes, operational efficiency, audit readiness, and time-to-value.

·   Cross-functional influence: Work closely with Customer Success, Implementation, Product, Engineering, AI, Managed Services, Sales, and trade subject matter experts to improve delivery quality and customer outcomes.

·   Builder’s environment: Help define repeatable playbooks, templates, reporting standards, onboarding models, and customer-facing delivery practices as KYG Trade™ scales.

·   Remote-first culture: Join a distributed team with strong domain expertise, practical collaboration, and opportunities to grow with the business.

·   Compensation: Competitive base salary, bonus eligibility, and equity participation aligned to experience and impact.

·   Implementation support metrics: Data readiness, quality of validation outputs, speed and accuracy of implementation support, timely issue identification, and customer-facing deliverable quality.

·   Customer success metrics: Adoption support, training readiness, stakeholder satisfaction, customer usage visibility, and contribution to successful onboarding and go-live outcomes.

·   Operational metrics: Strong documentation, disciplined trackers, accurate reporting, proactive risk escalation, and repeatable data/process templates.

·   Business impact: Help customers accelerate time-to-value by ensuring their data, workflows, and implementation activities are structured, validated, and ready for execution on KYG Trade™.

·   Intro call: Conversation focused on background, role fit, and interest in KYG Trade™.

·   Hiring manager interview: Deep dive into customer-facing execution, implementation delivery, technical/data fluency, and operating style.

·   Cross-functional interviews: Discussions with team members from Customer Success, Product, Implementation, Engineering, AI, Managed Services, or Leadership focused on collaboration, problem solving, and execution style.

·   Practical scenario or working session: Discussion of a realistic customer onboarding, data readiness, implementation risk, training, or adoption scenario.

·   References offer: We aim to move efficiently once there is mutual alignment and provide clear communication throughout the process.

If you combine analytical rigor, customer-facing execution, and a builder’s mindset for scaling SaaS implementation quality, we’d love to hear from you.

Contact: Careers@KYG.ai