Data Analyst

Overview:

Define data cleansing and standardization rules, document them in a reusable playbook, and build scripts that apply them consistently across extracts.Support data migration work streams: mapping, reconciliation, pre-load validation reporting and defect quarantine, working closely with architects and migration leads. Contribute to cutover strategy and dress rehearsals, providing the data readiness evidence and reconciliation reporting leadership needs to go live with confidence Build dashboards and continuous impact-assessment frameworks so data quality, leakage and rationalization progress are tracked rather than reported once.Apply agentic AI tooling (e.g. Claude Code, Codex) to accelerate profiling, rule generation and script development, and shape datasets for downstream AI and automation use.

Responsibilities

• 4–6 years of hands-on data analysis experience within a total of 5–8 years, delivering on enterprise data or transformation programs.
• Advanced SQL plus 3+ years of Python or R for data profiling, cleansing, reconciliation and automation. Demonstrable exposure to quote-to-cash data CPQ, product catalog, pricing, subscription or billing data models including the ability to reason about attributes, bundles and amendment history.
• Strong statistical analysis and data modeling skills, with the judgment to separate signal from noise in messy, inconsistent source data.
• Experience supporting data migration or cut over activity: mapping, validation, defect triage and pre-load reporting.Practical, day-to-day use of agentic AI coding tools (Claude Code, Codex or equivalent) to produce and review analysis code — not experimental familiarity.Clear written and verbal communication, with the confidence to present findings directly to US client business stakeholders.

Qualifications

5–8 years of total professional experience with 4–6 years directly relevant to data analysis on enterprise quote-to-cash, CPQ or billing data. Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics or a related quantitative field. Certifications in cloud data platforms, Salesforce or analytics are valued but not required.