{"id":3917660,"url":"https://alion.io/job/somos-head-operations-analytics","title":"Head Operations Analytics","company":{"id":4451225,"name":"SOMOS","domain":"somos.com.co","url":"https://alion.io/company/somos-4","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Medellín, Colombia"],"countries":["CO"],"hiring_countries":["CO"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CAPA","optional":false},{"name":"Looker","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-11-04T19:49:07Z","employer_posted_date":null,"last_verified_at":"2026-11-04T19:49:07Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"Head of Operations Analytics (Líder de Analítica Operacional)Ubicación: Medellín (Híbrido / Campo)\nReporta a: VP de Business Operations\nIdiomas: Español nativo o profesional completo / Inglés C1 (ambos indispensables)\n\nMisión del rolConstruir la columna vertebral de métricas operativas de la compañía (definiciones únicas, instrumentación y dashboards en tiempo real) y traducirla en decisiones concretas para Operaciones en Campo, Cadena de Suministro, CX y C-Level.\nResponsabilidades claveEstandarizar métricas: Crear y defender la metodología y definición única de KPIs operativos (costo por instalación, costo por hogar pasado, productividad técnica, tiempos de resolución y unit economics).\n\nDiseñar y liderar dashboards: Construir tableros en tiempo real integrados a los comités operativos semanales y mensuales para guiar la toma de decisiones.\n\nPresencia en la operación real: Pasar tiempo en terreno con cuadrillas, técnicos y centros de distribución para entender qué miden realmente los datos antes de modelarlos.\n\nAuditoría e interlocución: Validar y defender cifras críticas ante el CFO y comités directivos.\n\nArticulación técnica: Gestionar requerimientos de nuevas fuentes de datos ante el equipo de Data Science bajo acuerdos de servicio (SLAs). (Nota: Plataforma, pipelines y modelos de ML están a cargo de Data Science).\n\nObjetivos de impactoPrimeros 90 días: Columna vertebral de métricas operativas estandarizada con responsables asignados; primer dashboard en vivo con datos actuales; auditoría de reproducibilidad de cifras de capacidad de red y hogares pasados.\n\nPrimer año: Diagnóstico de la curva J traducido en palancas de unit economics; dashboard consolidado en la rutina directiva; al menos dos decisiones operativas de alto impacto ejecutadas a partir de sus análisis.\n\nRequisitos del perfilExperiencia: 10+ años transformando datos en decisiones operativas y leyendo la interacción entre demanda, costo, capacidad y servicio (industria previa abierta; no enfocado únicamente en BI corporativo o financiero sobre capas de datos terminadas).\n\nLiderazgo analítico: Experiencia comprobable creando definiciones de métricas desde cero y alineando áreas con posturas divergentes.\n\nTolerancia al desorden de datos: Comodidad 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