3 publicaciones de empleo destacadas de analyst data science en ciudad de méxico, dif (¡Están contratando!)

Senior Data Analyst
MVC Mexico City Marketing & Sales —Ampliación Granada, CDMX
- Azure
- Informática
- Inglés
Sr. Cyber Risk Analyst
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Administración de personal
- Informática
- Maestría
Postulación rápida
6d
Staff Data Engineer
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
Postulación rápida
1h

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Quiero recibir la alerta de empleo más reciente para analyst data science en ciudad de méxico, dif

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Senior Data Analyst

MVC Mexico City Marketing & Sales -
Ampliación Granada, CDMX

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Información del empleo

Cualificaciones

Looker
Cognos
Power BI
Modelado de datos
Azure
Informática
Inglés
Sistemas de información
Google Cloud Platform
Tableau
Maestría
SQL
Licenciatura
UX
Visualización de datos
Requisitos comerciales
Python

Descripción completa del empleo

Job Summary

Results-driven and detail-oriented Sr. Data Analyst to help unlock the full potential of our data and drive the success of our data analytics strategy. The Sr. Data Analyst is expected to work closely and collaborate with cross-functional teams.

The Sr. Data Analyst gathers business requirements and translates these into data requirements to help IT build robust and streamlined data pipelines. The Sr. Data Analyst provides data requirements for data ingestion, transformation, and scheduling to empower insightful business reporting and advanced analytics readiness.

In addition, the Sr. Data Analyst validates and tests the accuracy, consistency, and readiness of the data and runs analyses to ensure the data meets the business needs. Moreover, the Sr. Data Analyst builds intuitive data models and semantic layers and develops user-friendly enterprise reports

Expected Contributions

Determines and assesses data integration requirements for the enterprise data warehouse and communicates these requirements to IT
Collaborates with business partners to translate reporting and advanced analytics requirements into data pipeline and modeling requirements
Creates and optimizes data models and semantic layers that facilitate seamless and self-service data exploration and analysis
Applies data wrangling techniques to ensure data accuracy, consistency, and readiness for reporting and advanced analytics applications
Designs, develops, and maintains reports and dashboards using data visualization tools (e.g. Power BI, Cognos, Tableau, Looker) to help analyze complex datasets and enable actionable insights and recommendations
Identifies redundant reporting and opportunities for consolidation
Elaborates clear and straightforward technical documentation
Guides and promotes self-service data accessibility within the organization

Candidate Profile

Bachelor’s or Master’s degree in Computer Science, Data and Information Systems, or a related field
Minimum 6+ years of experience as a Data Analyst or similar role in a data-driven environment
Work experience translating business requirements to data requirements
Strong proficiency in programming languages such as SQL and Python
Previous working experience with data pipeline orchestration tools and distributed data processing frameworks
Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud)
Experience and solid understanding of data modeling principles and best practices
Experience with reporting and data visualization tools (e.g. Power BI, Cognos, Tableau, Looker) and UX fundamentals
Experience working with Agile methodologies
Upper-Intermediate / Advanced level of English (B2/C1). The candidate will be expected to have advanced and in-depth verbal and written discussions with English speakers on a daily basis
Strong collaborative and communications skills

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Marriott Vacations Worldwide is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture.

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In addition, the Sr. Data Analyst validates and tests the accuracy, consistency, and readiness of the data and runs analyses to ensure the data meets the business needs. Moreover, the Sr. Data Analyst builds intuitive data models and semantic layers and develops user-friendly enterprise reports

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