Data Analyst

What You'll Bring Required

• 46 years of hands-on data analysis experience within a total of 58 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 judgement to separate signal from noise in messy, inconsistent source data.•Experience supporting data migration or cutover 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.

What You'll Bring — Preferred

• Working knowledge of Salesforce Revenue Cloud / CPQ or Oracle CPQ and BRM data models.

• Experience with cloud data platforms such as Snowflake, Databricks or BigQuery.

• Dashboarding in Tableau or Power BI for data quality and impact reporting.•Familiarity with ETL and migration tooling for large-volume loads and reconciliation.•Prior consulting experience on US client-facing transformation programs.

Eligibility / Qualification

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.

Work Mode + Location

Full-time employee, offshore from the Forsys Global Development Center in India, with working-hour overlap for collaboration with US (Pacific) client and delivery teams.