{"id":3010933,"url":"https://alion.io/job/american-express-senior-analyst-data-analytics-4","title":"Senior Analyst-Data Analytics","company":{"id":2209,"name":"American Express","domain":"americanexpress.com","url":"https://alion.io/company/american-express","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":100,"open_postings":49,"ghost_share":0,"stale_share":0.082,"repost_share":0.184,"time_to_fill_p50_days":8,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":35000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":26},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-21T14:42:54Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-22T23:53:37Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"The UMGEA - Global Analytics team is seeking an Analyst for the Field Analytics team. The Analyst will support the build and rollout of scalable merchant intelligence capabilities that help identify actionable opportunities, enable retention and growth initiatives, and inform Client Management and Marketing treatments across GMNS.\nThis role will support work across merchant triggers, retention analytics, trigger arbitration, treatment playbooks, and predictive insights. The Analyst will help translate analytical opportunities into clear business actions, supporting the transition of insights and pilots into governed, production-ready capabilities through platforms. The role requires strong analytical problem-solving, attention to detail, execution discipline, and the ability to turn complex data into practical recommendations that can be activated by field, Client Management, and Marketing partners.\nProvide analytic and execution support for merchant retention, trigger arbitration, treatment playbooks, and predictive insights that enable GMNS growth initiatives and CLM priorities.\n\nAnalyze merchant performance, spend, engagement, coverage, and behavioral trends to identify early indicators of decline, retention risk, and growth opportunities and support field activation decisions.\n\nSupport the development and scaling of merchant trigger capabilities, including deterministic and predictive triggers that help enable timely, insight-led interventions.\n\nHelp translate analytical pilots and proof-of-concepts into governed, production-ready capabilities through enterprise platforms such as TargetIQ.\n\nPartner with cross-functional stakeholders to understand business questions, define analytical requirements, and deliver timely, high-quality insights.\n\nTranslate complex data into clear, concise findings, treatment recommendations, and business actions that can be understood and acted upon by partners.\n\nSupport automation and standardizationof recurring analytics processes to improve efficiency, reduce operational risk, and increase speed to market.\n\n 2-4 years of relevant experience in analytical domain.\n\nIntellectual curiosity, attention to detail ability to learn quickly and drive results.\n\nAbilityto drive insights from data, manage multiple projectsand drive results in a fast-paced environment.\n\nStrong collaboration skills with abilityto build relationships and challenge the status quo.\n\nExcellent business writing and presentation skills with the ability to communicate effectively, build relationshipsand influence at all levels.\n\nTechnical Skills: Familiarity with Google Big Query, SQL, Python, Lumi, PySparkand Tableau.\n\nExperience in dispute analytics, risk operations, or merchant business preferred.\n\nExperience in Machine Learning/ Cloud / Gen AI is a plus.\n\nAcademic Background:\nBachelors in Statistics/Mathematics/Economics/ Engineering/Data Science with relevant experience.\n\nPost Graduation in Statistics/Mathematics/ Economics/Engineering/Management is a plus.","description_format":"text","description_chars":3012,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Growth opportunities"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Cards & Card Issuing","Payment Processing & Gateways"],"lifecycle":[{"event":"open","at":"2026-10-21T15:22:18Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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