Sr Analyst - Field Analytics

• 2-4 years of relevant experience in analytical domain.
• Intellectual curiosity, attention to detail ability to learn quickly and drive results.
• Ability to drive insights from data, manage multiple projects and drive results in a fast-paced environment.
• Strong collaboration skills with ability to build relationships and challenge the status quo.
• Excellent business writing and presentation skills with the ability to communicate effectively, build relationships and influence at all levels.
• Technical Skills: Familiarity with Google Big Query, SQL, Python, Lumi, PySpark and Tableau.
• Experience in dispute analytics, risk operations, or merchant business preferred.
• Experience in Machine Learning/ Cloud / Gen AI is a plus.

• Bachelors in Statistics / Mathematics / Economics / Engineering/Data Science with relevant experience.
• Post Graduation in Statistics/Mathematics/ Economics / Engineering / Management is a plus.

• Provide analytic and execution support for merchant retention, trigger arbitration, treatment playbooks, and predictive insights that enable GMNS growth initiatives and Client Management priorities.
• Analyze merchant performance, spend, engagement, coverage, and behavioral trends to identify early indicators of decline, retention risk, and growth opportunities and support field activation decisions.
• Support the development and scaling of merchant trigger capabilities, including deterministic and predictive triggers that help enable timely, insight-led interventions.
• Help translate analytical pilots and proof-of-concepts into governed, production-ready capabilities through enterprise platforms such as TargetIQ.
• Partner with cross-functional stakeholders to understand business questions, define analytical requirements, and deliver timely, high-quality insights.
• Translate complex data into clear, concise findings, treatment recommendations, and business actions that can be understood and acted upon by partners.
• Support automation and standardisation of recurring analytics processes to improve efficiency, reduce operational risk, and increase speed to market.

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