{"id":3566276,"url":"https://alion.io/job/exl-analyst-9","title":"Analyst","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":76,"open_postings":245,"ghost_share":0,"stale_share":0.976,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mexico City, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":72000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3468},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Neo4j","optional":true},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-10-29T19:04:05Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-07T01:39:24Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Role Summary:\nDevelop advanced analytics and graph-based intelligence solutions to uncover patterns, relationships, and actionable insights for business and risk use cases.\nKey Responsibilities:\nDesign and implement knowledge graph models and semantic structures.\nApply data mining techniques to detect trends, anomalies, and hidden links.\nBuild data preparation, enrichment, and validation pipelines.\nCollaborate with engineering teams to produce models and graph services.\nCommunicate findings clearly to technical and non-technical stakeholders.\nEnsure model/data traceability, quality, and governance alignment.\nAI Skills for This Role:\nUse LLM-assisted workflows for hypothesis generation and analysis acceleration.\nApply AI methods for graph reasoning, entity linking, and relationship discovery.\nEvaluate model outputs critically for bias, drift, leakage, and reliability.\nUse AI tools responsibly with strong data privacy and governance practices.\nRequired Qualifications:\n5+ years in data science or advanced analytics.\nPractical experience with knowledge graphs and semantic modeling.\nStrong Python skills for analytics, modeling, and experimentation.\nSolid foundation in statistics and machine learning.\nExperience with complex, high-volume, or unstructured data.\nEnglish proficiency: professional working level or above (B2+/C1 preferred).\nNice to Have:\nExperience with graph databases (for example Neo4j) and NLP.\nUse cases in fraud, risk, compliance, or operational intelligence.\nFamiliarity with MLOps and production model lifecycle management.\nWork model: Flexible / Hybrid - 2 days on-site at Tecnoparque / Toluca.\nEnglish proficiency is required for all roles.\n Plan, monitor & manage operational delivery to ensure adherence to agreed quality parameters & timelines. Implement work management trackers, define roles & responsibilities of team members and roll out a work allocation / delivery plan to track completionWork with onshore managers to agree on scope of work, key stakeholders, escalation matrices, project milestones & timelines \nDesign & Implement management information systems (MIS) for periodic status updates and to identify trends around business processes identified as high on risk / low on controls\nDrive a culture of Risk and Governance across business processes. Institutionalize ethos of continuous improvement in risk management across all processes and sub processes in scope. 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