20 publicaciones de empleo destacadas de analytics engineer new en sector popular cdmx (¡Están contratando!)

Research Analyst - Oil Supply
WM de Mexico, S. de R.L. de C.V. —Los Alpes, CDMX
- Tiempo completo
- Microsoft Excel
- Administración de personal
- Inglés
Postulación rápida
7d
Solution Manager
Imubit —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Licenciatura
- Mejora continua
Sr. Sales Engineer
Automation Anywhere —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Oracle
- Informática
Data Analyst
Tillster —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- Análisis de datos
- SQL
Postulación rápida
Systems Engineer
Cognizant —Colonia Polanco, CDMX
- Tiempo completo
- Mejora continua
- Sin disponibilidad para viajar
13d
PMTS - Principal Agentic Data Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- SQL
- Python
Customer Success Engineer (CSE)
Infoblox —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Servicio al cliente
- Licenciatura
- Vacaciones adicionales o permisos con goce de sueldo
12d
TS&A - Data Architecture & AI Consultant/Manager
Accenture —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Licenciatura
Data Pipeline & Platform Engineer, Observability & Security
Qualcomm —Ciudad de México, CDMX
- Análisis de datos
- Licenciatura
- Linux
Sr. Engineer, Access Governance
McDonald's Corporation —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
Postulación rápida
Software Development Engineer, Amazon Devices Experience Technology (DeXT)
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Experiencia en ventas
- Licenciatura
Data Engineer, YouTube Marketing
YouTube —Ciudad de México, CDMX
- Informática
- Experiencia en ventas
- Inglés
14d
Product Manager, BNPL Online
Aplazo —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- Inglés
- SQL
Postulación rápida
Sr. Fullstack Engineer
Alcor —Ciudad de México, CDMX
- Administración de personal
- Inglés
- Java
Postulación rápida
Senior Site Reliability Engineer
SimCorp A/S —Ciudad de México, CDMX
- Incluye fines de semana
- Azure
- Administración de personal
- Informática
Multinational Specialist
AIG MEXICO SERVICIOS S.A. DE C.V. —Ciudad de México, CDMX
- Correo electrónico
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook
- Seguro de vida
Postulación rápida
12d
Sr Data Engineer Manager
RMx DEV S de R L de C V —Polanco IV Sección, CDMX
- Tiempo completo
- Azure
- Informática
- Experiencia en bases de datos
- Seguro de vida
Postulación rápida
12h
Site Reliability Engineering Lead
PepsiCo —Miguel Hidalgo, CDMX
- Azure
- Informática
- Java
Sales Engineer
Zendesk —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Disponibilidad para viajar hasta un 50 %
Sr Data Engineer - Music DISCO, Music DISCO
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Java
- SQL
- JavaScript

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Research Analyst - Oil Supply

WM de Mexico, S. de R.L. de C.V. -
Los Alpes, CDMX

Postulación rápida

Información del empleo

Tiempo completo
Hace 7 días

Cualificaciones

Microsoft Excel
Administración de personal
Visual Basic
Tooling
Bases de datos relacionales
Inglés
Experiencia en bases de datos
SQL
Capacitación
Estimación y pronóstico
VBA
Recolección de datos
Python
Debugging

Descripción completa del empleo

Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape.

For over 50 years our work has guided the decisions of the world’s most influential energy producers, utilities companies, financial institutions and governments.

Now, with the world’s energy system more complex and interconnected than ever before, sector-specific views are no longer enough. That’s why we’ve redefined what’s possible with Intelligence Connected.

By fusing our unparalleled proprietary data with the sharpest analytical minds, all supercharged by Synoptic AI, we deliver a clear, interconnected view of the entire value chain. Our trusted team of 2,700 experts across 30 countries breaks siloes and connects industries, markets and regions across the globe.

This empowers our customers to identify risk sooner, spot opportunities faster and recalibrate strategy with confidence – whether planning days, weeks, months or decades ahead.

Wood Mackenzie
Intelligence Connected

WoodMac.com

Wood Mackenzie Brand Video

Wood Mackenzie Values

Inclusive – we succeed together
Trusting – we choose to trust each other
Customer committed – we put customers at the heart of our decisions
Future Focused – we accelerate change
Curious – we turn knowledge into action

Role Purpose

Wood Mackenzie is a leading provider of data, analytics and insights for the energy, chemicals, metals and mining sectors. We help companies, financial institutions and governments make better strategic decisions by combining industry expertise, proprietary data and advanced analytical capabilities.

Within this context, the Oil Supply Team delivers market-leading research, forecasts and data products that help clients understand oil market dynamics and navigate an evolving energy landscape. This role offers the opportunity to contribute to both our research and technical capabilities, supporting the analysis, data infrastructure, models and tools that underpin our products and client solutions. Working closely with analysts, modellers and product teams, you will help ensure our research remains accurate, scalable and impactful while supporting the continued development of our analytical and technology platforms.

Main Responsibilities

We are looking for an Analyst to join our Global Analyst Team within the Oil Supply Team. This role combines industry research and market analysis with technical ownership of key data, modelling and automation workflows that underpin our research products. The successful candidate will be expected to:

Analyse asset, market and industry developments across the commodities and markets they cover, generating short- and long-term forecasts.

Gather, validate and interpret industry data to support Wood Mackenzie's market-leading research and analytical products.

Connect and build relationships with clients and industry participants to inform analysis and strengthen market understanding.

Collaborate with colleagues across Energy and Natural Resources to develop integrated market views and insights.

Produce high-quality written analysis on industry developments, including topics such as the Energy Transition, oil-petrochemical integration and sustainability.

Contribute to client-facing presentations, discussions and research outputs.

During the first six months, the successful candidate will focus on understanding, stabilising and improving the team's existing technical infrastructure by:

Building a thorough understanding of the team's existing data sources, databases, models, tools and workflows, including legacy Python and VBA-based processes.

Identifying inefficiencies, manual processes and points of fragility within existing data pipelines and analytical workflows.

Refactoring and improving legacy codebases to create cleaner, more maintainable and better-documented solutions.

Automating recurring data collection, transformation and update processes to reduce manual intervention and improve reliability.

Documenting key data flows, business logic and technical processes to improve transparency and reduce key-person dependency.

Over time, the role will evolve to include:

Designing, building and maintaining scalable data pipelines, tools and supporting data architecture.

Developing new functionality and services to support the Oil Supply Tool, Macro Oils products and Short-Term Oil Price forecasting models.

Working closely with analysts, modellers and data scientists to improve analytical workflows and model performance.

Applying AI, machine learning and modern data tooling to enhance data processing, modelling workflows and team productivity.

Maintaining and enhancing existing tools and systems to ensure they remain robust, scalable and well-documented.

Collaborating with colleagues across the Macro Oils team to establish data standards, technology best practices and development frameworks.

Supporting continuous improvement initiatives across research, modelling and operational processes.

About You

You are an economist, engineer, geologist, petroleum engineer, data scientist or similar quantitative professional with a strong interest in commodity markets and energy systems. You combine analytical curiosity with strong technical capabilities and enjoy solving complex data and process challenges.

Essential Skills & Experience

Strong analytical and quantitative capabilities, developed through academic study and/or professional experience.

Advanced Python skills, including the ability to develop, debug, maintain and improve production-quality analytical code.

Experience working with large datasets and building data-driven solutions.

Ability to identify opportunities for automation and process improvement.

Strong data management, data quality and troubleshooting skills.

Experience working with Excel, including complex analytical models and data workflows.

Ability to communicate technical concepts clearly to both technical and non-technical audiences.

Excellent written and verbal English communication skills.

Ability to work independently while collaborating effectively across geographically dispersed teams.

Desirable Skills & Experience

Experience with machine learning, AI tools and data science techniques.

Experience with SQL, relational databases and cloud-based data platforms.

Experience maintaining or migrating legacy systems, including VBA-based processes.

Knowledge of oil markets, energy markets or broader commodity sectors.

Background in economics, petroleum engineering, geology, energy systems, data science or a related discipline.

Experience working with forecasting models or decision-support tools.

Expectations

Growth mindset - taking the initiative to learn new skills, seeking out feedback and coaching, and actively applying what has been learned in the workplace.

Change agility - maintaining high performance through disruption and change.

We are a hybrid working company and the successful applicant will be expected to be physically present in the office at least 2 days per week to foster and contribute to a collaborative environment, but this may be subject to change in the future.

This is a full-time role expected to work early mornings to accommodate collaboration with Europe time-zones.

Equal Opportunities

We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex (including pregnancy, sexual orientation, and gender identity), national origin, disability or protected veteran status. You can find out more about your rights under the law at www.eeoc.gov

Postulación rápida

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analytics engineer new empleos en sector popular cdmx

Research Analyst - Oil Supply

Solution Manager

Sr. Sales Engineer

Data Analyst

Systems Engineer

PMTS - Principal Agentic Data Engineer

Customer Success Engineer (CSE)

TS&A - Data Architecture & AI Consultant/Manager

Data Pipeline & Platform Engineer, Observability & Security

Sr. Engineer, Access Governance

Software Development Engineer, Amazon Devices Experience Technology (DeXT)

Data Engineer, YouTube Marketing

Product Manager, BNPL Online

Sr. Fullstack Engineer

Senior Site Reliability Engineer

Multinational Specialist

Sr Data Engineer Manager

Site Reliability Engineering Lead

Sales Engineer

Sr Data Engineer - Music DISCO, Music DISCO

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