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Job Title: Senior Data Analyst
Key Skills: SQL, Snowflake, Data Analysis, Excel, Google Sheets, Tableau, Power BI, Looker, Data Visualization, Data Quality, AI/ML Tools
Experience: +5 YOE.
Location: Peru
Mode: Remote
We at Coforge are hiring Position (#21027) with the following skill set.
Key Responsibilities
- Analyze large and complex datasets to generate actionable business insights.
- Develop and optimize advanced SQL queries, joins, and data transformations.
- Work with cloud data warehouses such as Snowflake to manage and process data efficiently.
- Create dashboards and reports using data visualization tools like Tableau, Power BI, or Looker.
- Collaborate with cross-functional teams and stakeholders to understand business requirements and translate them into analytical solutions.
- Utilize AI or machine learning tools to enhance data analysis and identify trends or patterns.
Required Skills & Qualifications
- Advanced proficiency in SQL, including complex queries, joins, and data transformations.
- Hands-on experience with Snowflake or similar cloud data warehouse platforms.
- Strong experience with pivot tables and data analysis using Excel or Google Sheets.
- Experience troubleshooting and resolving data quality and integrity issues.
- Knowledge of AI or machine learning tools for large-scale data analysis.
- Proficiency with data visualization tools such as Tableau, Power BI, or Looker.
- Strong analytical thinking and problem-solving skills.
- Excellent communication and presentation skills.
- Bachelor’s degree in Data Analytics, Computer Science, Statistics, or related fields (or equivalent experience).
Preferred Skills:
- Experience working in Agile environments.
- Familiarity with Python or R for data analysis.
- Knowledge of ETL/ELT processes and data pipelines.
- Experience working with business intelligence and reporting frameworks.
- Exposure to cloud platforms such as AWS, Azure, or GCP.
Posted On: 8-May-26
At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
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Apply to Encora
Senior Clinical Data Engineer (LATAM)
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We’re expanding our data engineering capabilities across Mexico, Brazil, Argentina, Colombia, Chile, and Peru, and we’re hiring a Senior Clinical Data Engineer to help build the foundation of this new regional function. In this role, you’ll lead the development and optimization of clinical data systems, drive data standardization, build validation frameworks, and design high‑performance databases and pipelines across global trials.
The Senior Clinical Data Engineer leads the strategic development and optimization of clinical data systems to support regulatory compliance, advanced analytics, and operational excellence across global trials.
This role drives enterprise-level data standardization initiatives, and architects scalable validation frameworks to proactively address systemic data issues. With deep expertise in Python, R, SQL, and SAS, the engineer builds and maintains modular codebases, sets coding standards, and mentors junior engineers. The role also oversees regulatory alignment with GCP and FDA 21 CFR Part 11, establishing robust documentation and audit trail protocols. Through dynamic dashboards and analytics tools, the engineer delivers actionable insights into trial performance and data quality. As a strategic liaison across Biostatistics, Clinical Operations, and Regulatory Affairs, the engineer translates clinical requirements into scalable technical solutions and leads the design of secure, high-performance databases and ETL pipelines integrating data from diverse clinical systems.
Essential functions of the job include but are not limited to:
Data Standardization & Mapping: Spearhead the development of enterprise-level data mapping strategies that transform raw clinical data into standardized formats for high-impact analytics. Lead the adoption and governance of data standards across programs to ensure regulatory alignment and consistency.
Data Quality Assurance: Design and implement robust, scalable validation frameworks that proactively detect and resolve systemic data issues. Serve as a strategic partner to Clinical Data Managers and cross-functional teams, driving continuous improvement in data integrity across global trials
Programming & Scripting: Architect and maintain advanced, modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. Establish coding standards and mentor junior engineers in automation, reproducibility, and performance optimization. Example use cases includes edit checks, reconciliations, exception listings, programmed protocol deviations, resource projections based on site data entry volume
Regulatory Compliance & Documentation: Lead compliance initiatives to ensure all data systems and workflows meet GCP, FDA 21 CFR Part 11, and evolving global regulatory requirements. Define documentation protocols and oversee audit trail governance to support inspection readiness and transparency.
Reporting & Visualization - Develop and operationalize dynamic dashboards and analytics tools that provide real-time insights into data quality, trial progress, and operational KPIs. Translate complex datasets into actionable intelligence for clinical and regulatory stakeholders.
Collaboration & Cross-Functional Support: Act as a strategic liaison between Clinical Data Engineering and Biostatistics, Clinical Operations, and Regulatory Affairs. Translate clinical and scientific requirements into scalable technical solutions that support study execution and data delivery.
Database Design & Optimization: Lead the design and optimization of secure, high-performance relational databases and data lakes. Ensure infrastructure scalability, query efficiency, and data governance for large-scale clinical datasets.
Qualifications:
Minimum Required:
- Bachelor’s Degree in a relevant field (life sciences, statistics, data management, clinical operations) or relevant/equivalent combination of education, training, and experience
- Minimum 6 years experience in clinical monitoring, clinical trial management or equivalent
- Advanced programming and automation skills; database design; dashboard development; CDISC governance
- Professional working proficiency in English
Other Required:
- Highly effective oral and written communication skills with the ability to communicate effectively with project team members
- Excellent organizational and time management skills
- Ability to work in a team or independently as required
- Demonstrated ability to learn how to extract pertinent information from protocols, electronic study data systems and clinical systems
- Proficiency in statistical analysis and data monitoring tools.
- Detail-oriented with strong analytical and problem-solving skills
- Demonstrated experience with integrated risk planning & management
- Ability to mentor junior team members
Preferred:
- CRO experience as a Clinical Data Engineer or Programmer
Skills:
- Strong analytical and problem-solving skills with attention to data quality and integrity.
- Ability to work with large, complex datasets from multiple sources.
- Effective communication skills to collaborate with cross-functional teams.
- Knowledge of data governance, privacy, and security best practices in clinical research.
Competencies:
- Collaboration: Works effectively with clinical, statistical, and technical teams to align data strategies with study goals.
- Accountability: Takes ownership of data engineering deliverables and ensures timely, high-quality outputs.
- Adaptability: Thrives in a fast-paced, evolving environment with shifting priorities and timelines.
- Compliance-Oriented: Maintains a strong focus on regulatory compliance and data traceability.
#LI-AG2 #LI-REMOTE
Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.
Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com.
It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.
Ready to apply?
Apply to Precision for Medicine
Senior Clinical Data Engineer (LATAM)
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We’re expanding our data engineering capabilities across Mexico, Brazil, Argentina, Colombia, Chile, and Peru, and we’re hiring a Senior Clinical Data Engineer to help build the foundation of this new regional function. In this role, you’ll lead the development and optimization of clinical data systems, drive data standardization, build validation frameworks, and design high‑performance databases and pipelines across global trials.
The Senior Clinical Data Engineer leads the strategic development and optimization of clinical data systems to support regulatory compliance, advanced analytics, and operational excellence across global trials.
This role drives enterprise-level data standardization initiatives, and architects scalable validation frameworks to proactively address systemic data issues. With deep expertise in Python, R, SQL, and SAS, the engineer builds and maintains modular codebases, sets coding standards, and mentors junior engineers. The role also oversees regulatory alignment with GCP and FDA 21 CFR Part 11, establishing robust documentation and audit trail protocols. Through dynamic dashboards and analytics tools, the engineer delivers actionable insights into trial performance and data quality. As a strategic liaison across Biostatistics, Clinical Operations, and Regulatory Affairs, the engineer translates clinical requirements into scalable technical solutions and leads the design of secure, high-performance databases and ETL pipelines integrating data from diverse clinical systems.
Essential functions of the job include but are not limited to:
Data Standardization & Mapping: Spearhead the development of enterprise-level data mapping strategies that transform raw clinical data into standardized formats for high-impact analytics. Lead the adoption and governance of data standards across programs to ensure regulatory alignment and consistency.
Data Quality Assurance: Design and implement robust, scalable validation frameworks that proactively detect and resolve systemic data issues. Serve as a strategic partner to Clinical Data Managers and cross-functional teams, driving continuous improvement in data integrity across global trials
Programming & Scripting: Architect and maintain advanced, modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. Establish coding standards and mentor junior engineers in automation, reproducibility, and performance optimization. Example use cases includes edit checks, reconciliations, exception listings, programmed protocol deviations, resource projections based on site data entry volume
Regulatory Compliance & Documentation: Lead compliance initiatives to ensure all data systems and workflows meet GCP, FDA 21 CFR Part 11, and evolving global regulatory requirements. Define documentation protocols and oversee audit trail governance to support inspection readiness and transparency.
Reporting & Visualization - Develop and operationalize dynamic dashboards and analytics tools that provide real-time insights into data quality, trial progress, and operational KPIs. Translate complex datasets into actionable intelligence for clinical and regulatory stakeholders.
Collaboration & Cross-Functional Support: Act as a strategic liaison between Clinical Data Engineering and Biostatistics, Clinical Operations, and Regulatory Affairs. Translate clinical and scientific requirements into scalable technical solutions that support study execution and data delivery.
Database Design & Optimization: Lead the design and optimization of secure, high-performance relational databases and data lakes. Ensure infrastructure scalability, query efficiency, and data governance for large-scale clinical datasets.
Qualifications:
Minimum Required:
- Bachelor’s Degree in a relevant field (life sciences, statistics, data management, clinical operations) or relevant/equivalent combination of education, training, and experience
- Minimum 6 years experience in clinical monitoring, clinical trial management or equivalent
- Advanced programming and automation skills; database design; dashboard development; CDISC governance
- Professional working proficiency in English
Other Required:
- Highly effective oral and written communication skills with the ability to communicate effectively with project team members
- Excellent organizational and time management skills
- Ability to work in a team or independently as required
- Demonstrated ability to learn how to extract pertinent information from protocols, electronic study data systems and clinical systems
- Proficiency in statistical analysis and data monitoring tools.
- Detail-oriented with strong analytical and problem-solving skills
- Demonstrated experience with integrated risk planning & management
- Ability to mentor junior team members
Preferred:
- CRO experience as a Clinical Data Engineer or Programmer
Skills:
- Strong analytical and problem-solving skills with attention to data quality and integrity.
- Ability to work with large, complex datasets from multiple sources.
- Effective communication skills to collaborate with cross-functional teams.
- Knowledge of data governance, privacy, and security best practices in clinical research.
Competencies:
- Collaboration: Works effectively with clinical, statistical, and technical teams to align data strategies with study goals.
- Accountability: Takes ownership of data engineering deliverables and ensures timely, high-quality outputs.
- Adaptability: Thrives in a fast-paced, evolving environment with shifting priorities and timelines.
- Compliance-Oriented: Maintains a strong focus on regulatory compliance and data traceability.
#LI-AG2 #LI-REMOTE
Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.
Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com.
It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.
Ready to apply?
Apply to Precision Medicine Group
Asistente de People & Culture (Administracion de Personal y Data Analytics)
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Información Importante
Ubicación: Magdalena del Mar, Lima, Perú
Experiencia: 2 años
Modalidad de trabajo: Híbrido – 2 días en oficina
Nivel de inglés: Intermedio a avanzado
Skills mandatorios: Administración de Personal, Data Analytics (PowerBi y Excel) e inglés
Resumen del puesto
Como Asistente de People & Culture (20143), serás parte de un equipo comprometido con el bienestar de nuestros colaboradores. Tu rol será esencial en la administración de personal, data analytics y bienestar. Requerimos nivel de inglés intermedio a avanzado.
Objetivo del Puesto: Apoyar en la ejecución y coordinación de los distintos procesos del área de People & Culture, tales como: acciones de administración de personal, gestión del talento, onboarding y las actividades de analítica para garantizar la disponibilidad de información en la toma de decisiones.
Requisitos:
- Egresado o Bachiller/a en Administración, Psicología Organizacional, Ingeniería Industrial, Recursos Humanos o afines.
- 2-3 años de experiencia profesional operativa en Recursos Humanos.
- Experiencia previa a nivel operativo en Administración de personal (Altas, Bajas y cambios en T-Registro, Apertura de cuentas, AFP) y Data Analytics RRHH (Reflejado en CV)
- Mandatorio: Excel Intermedio/Avanzado.
- Mandatorio: Power BI Intermedio.
- Inglés Intermedio o avanzado conversacional.
- Deseable (no mandatorio): experiencia en Power Adds.
- Buscamos profesionales con actitud y energía, para soportar estrategias de engagement.
Funciones principales:
- Soporte en la ejecución de los distintos procesos de People & Culture para la sede de Perú.
- Procesar información de indicadores de la sede, con la creación y mantenimiento de dashboards de indicadores (Excel y PowerBI)
- Apoyar en la gestión administrativa de inclusión de nuevos colaboradores en la sede y el proceso de onboarding (TRegistro, aperturas de cuentas e Inducciones).
- Gestionar el envio de los documentos legales relacionados a P&C, a través de la plataforma Concord y documentación relevante según corresponda.
- Participar en la implementación de mejora en los diferentes procesos de P&C.
- Apoyar en actividades de engagement para fortalecimiento de identidad con la empresa y seguimientos a necesidades especiales.
- Atención a clientes interno.
Condiciones Laborales:
- Trabajo Híbrido: 2 días trabajo en oficina. Se espera flexibilidad en caso se requiera por demanda.
- Contrato en planilla con todos los beneficios de ley.
- EPS cubierto al 100% para titular.
- Acceso al Programa de Referidos.
- Programa de reconocimientos y descuentos corporativos.
- Entre otros.
Acerca de Encora
Encora es el socio preferido de ingeniería digital y modernización de algunas de las principales empresas del mundo y empresas nativas digitales. Con más de 9,000 expertos en 47+ oficinas y laboratorios de innovación en todo el mundo, las prácticas tecnológicas de Encora incluyen Ingeniería y Desarrollo de Productos, Servicios en la Nube, Ingeniería de Calidad, DevSecOps, Datos y Análisis, Experiencia Digital, Ciberseguridad e Ingeniería de IA y LLM.
En Encora, contratamos profesionales únicamente en función de sus habilidades y calificaciones, y no discriminamos en función de la edad, discapacidad, religión, género, orientación sexual, estado socioeconómico o nacionalidad.
Ready to apply?
Apply to EncoraInformación Importante
Ubicación: Perú
Modalidad de trabajo: Híbrido
Resumen del Rol
Buscamos un Data Analyst Mid (20597) enfocado en visualización y análisis de datos para negocios digitales. Serás responsable de transformar datos en insights accionables, diseñar dashboards y apoyar la toma de decisiones estratégicas mediante análisis avanzado.
Responsabilidades y Funciones
- Analizar datos de negocio y generar insights relevantes.
- Diseñar y desarrollar dashboards e indicadores (KPIs).
- Construir y mantener procesos ETL (Databricks u otras herramientas).
- Realizar limpieza, transformación y validación de datos.
- Aplicar modelos estadísticos y análisis predictivo.
- Comunicar hallazgos a stakeholders técnicos y no técnicos.
- Colaborar con equipos de negocio y tecnología.
Requisitos y Habilidades
- +3 años de experiencia en análisis de datos o BI.
- Formación en Estadística, Economía, Computación o afines.
- Dominio de SQL y conocimiento en Python, R o Scala.
- Experiencia en herramientas de visualización (Power BI, Looker Studio).
- Conocimiento en modelado estadístico y análisis predictivo.
- Experiencia en desarrollo de procesos ETL (Databricks).
- Experiencia en diseño de dashboards y definición de KPIs.
- Experiencia trabajando en entornos ágiles.
Sobre Encora
Encora es el socio preferido para ingeniería digital y modernización de algunas de las empresas líderes del mundo y compañías digitales nativas. Con más de 9,000 expertos en más de 47 oficinas y laboratorios de innovación a nivel global, Encora ofrece soluciones en Product Engineering, Cloud Services, Quality Engineering, DevSecOps, Data, Digital Experience, Cybersecurity y AI Engineering.
En Encora contratamos profesionales basándonos únicamente en sus habilidades y calificaciones, sin discriminación por edad, discapacidad, religión, género, orientación sexual, condición socioeconómica o nacionalidad.
Ready to apply?
Apply to Encora