Freight Analyst

Resideo; A distancia; MXN 1,235,000 - 1,589,000; Jornada completa

Descripción de la vacante

A technology solutions company is seeking a Senior Data Analyst for a remote role across LATAM, focused on analytics, S&OP support, and cross-functional collaboration. The ideal candidate has a Bachelor's in Economics, Statistics, or Data Science and 3+ years of experience in analytics. Strong SQL and data visualization skills (Power BI, Looker) are mandatory. This position will involve gathering and interpreting data to drive business efficiency and improve decision-making.

Formación

• 3+ years of experience in analytics or planning, preferably retail/fashion.
• Experience with Looker is mandatory.
• Experience in extracting/manipulating large datasets using SQL.

Responsabilidades

• Collect, clean, and analyze large datasets for actionable insights.
• Develop dashboards and KPIs reports.
• Support S&OP and risk scenario planning.

Conocimientos

Strong SQL skills

Data visualization skills (Power BI, Looker)

English communication

Spanish communication

Educación

Bachelor’s in Economics, Statistics, Data Science, or related field

Master’s degree (a plus)

Herramientas

Looker

Power BI

SQL (Google BigQuery, MS SQL)

Python

Azure Databricks

Descripción del empleo

Senior Data Analyst – AI & Generative AI Analytics

Location: LATAM (Remote)

Deseable

We’re looking for a Data Analyst to support Planning Operations and drive data-based decision-making across LATAM. The role involves analytics, S&OP support, and cross-functional collaboration to improve business performance and efficiency.

Key Responsibilities

• Collect, clean, and analyze large datasets to generate actionable insights.
• Develop dashboards and KPIs reports using Looker or Power BI.
• Support S&OP and risk scenario planning for the LATAM region.
• Drive process improvement and cross-functional collaboration (IM, MP, Merch, Supply).
• Participate in regional/global projects to implement new tools and systems.

About You

• Bachelor’s in Economics, Statistics, Data Science, or related field (Master’s a plus).
• 3+ years of experience in analytics or planning (retail/fashion a plus).
• Strong SQL and data visualization skills (Power BI from scratch, Looker).
• Experience with Looker is mandatory.
• 3+ years of experience in extracting and manipulating large data sets from various relational databases using SQL (Google BigQuery, MS SQL, dbt).
• Knowledge of Python or R preferred.
• Excellent communication skills in English and Spanish.

Based in Mexico (Hybrid)

Only resumes in English will be considered

Whitehall Resources are currently looking for a Data Analyst/Business Translator based in Mexico City for an initial 6 month contract.

Role Overview:

We are seeking a Business Translator to support our client. The professional will act as a bridge between the Marketing (MKT) business teams and the Consumer Data (CD) team, translating business requirements into actionable insights for the technical team.

This role requires strong analytical skills, project coordination, and effective stakeholder communication.

Key Responsibilities:

• Collaborate with Marketing and CD teams to gather, clarify, and translate business requirements.
• Work closely with the technical team to ensure accurate implementation of insights and data-driven solutions.
• Analyze data and support reporting or insights generation to inform business decisions.
• Manage stakeholder communication and provide project updates.
• Contribute to process improvements and facilitate knowledge sharing between business and technical teams.
• Required Skills & Qualifications:
• Experience in data analysis and project management.
• Ability to communicate effectively with both business and technical teams.
• Knowledge of CPG (Consumer Packaged Goods) or retail industry is desirable.
• Reside in Mexico City (Federal District).
• Technology:
• Proficiency with Azure Databricks (DBR) or similar cloud-based platforms.

Role Title: Data Operations Analyst (Remote in MX)

Employment Type: Contract-to-Hire/Contract-to-Full Time

Duration: 3 months contract, then converts to Full Time

Preferred Location: Remote in Mexico

Role Description

We are seeking a curious, growth-minded Junior DataOps Engineer to support and monitor our data platform. You'll gain hands-on experience with Snowflake, dbt, and Python while learning to take ownership of your work.

Key Responsibilities

• Monitor & Respond: Track pipelines, investigate failures, and log issues.
• Support Users: Troubleshoot tickets and resolve data-related questions.
• Data Ingestion: Ensure timely and accurate daily data loads.
• Learn & Automate: Build Python scripts to automate checks and repetitive tasks.
• Documentation: Record known errors and solutions for the team.
• Skill Growth: Learn the stack to take on more complex engineering tasks over time.

Requirements

• Experience: 0-2 years (internships, bootcamps, personal projects count).
• Mindset: Self-starter, persistent, eager to learn, and willing to ask questions.
• SQL: Basic understanding (joins, aggregations, filtering) to query and validate data.
• Python: Working knowledge; comfortable reading code and learning modern practices (3.10+).
• Troubleshooting: Can logically identify the source of errors.
• Ownership: Follows through to fully resolve issues.

Nice to Have

• Exposure to Snowflake (labs or certifications).
• SnowPro Core certification or willingness to obtain within 6 months.
• Basic Git/version control and command-line familiarity.

Role Title: Senior Data Operations Analyst (Remote in MX)

Employment Type: Contract-to-Hire/Contract-to-Full Time

Duration: 3 months contract, then converts to Full Time

Preferred Location: Remote in Mexico

Role Description:

We are seeking a Senior DataOps Engineer to ensure the stability, quality, and timeliness of our Snowflake data platform. You will own monitoring, incident response, and operational support while automating manual tasks to improve reliability.

Key Responsibilities

• Pipeline Monitoring: Track ELT/ETL pipelines and dbt jobs; identify and address delays or failures proactively.
• Incident Response: Troubleshoot SQL, Python, or ingestion issues and restore service quickly.
• Data Ingestion: Ensure timely, accurate data from multiple sources; validate quality metrics.
• User Support: Manage tickets (Jira/ServiceNow) for access, queries, and data issues.
• Automation: Build Python scripts to automate maintenance, alerts, and validations.
• CI/CD Deployment: Assist with smooth code/dbt releases and quick rollbacks.
• Root Cause Analysis: Document incidents and implement solutions to prevent recurrence.

Requirements:

Required Skills & Qualifications

• Operational Experience: DataOps, SRE, or production support background.
• SQL: Strong skills for debugging and validating data issues.
• Python: Proficient in scripting and automation (3.10/3.11 preferred).
• Troubleshooting: Analytical mindset to trace errors across logs, code, and data lineage.
• Snowflake: Familiarity with virtual warehouses, history tables, and query profiles.
• Communication: Clear with technical teams and business users on issues.
• Agility: Adaptable in a lean team; quick to learn new observability tools.

Preferred Qualifications

• Familiarity with data observability tools (Monte Carlo, Datadog, alerts).
• Experience with Git and CI/CD pipelines.

Senior Data Operations Analyst – Snowflake (Contract-to-Hire)

Role Title: Senior Data Operations Analyst – Snowflake (Contract-to-Hire)

Employment Type: Contract-to-Hire

Duration: 3 months, with potential extension

Location: Remote (Mexico)

About the Role:

We’re looking for a hands-on Senior DataOps Engineer to ensure the stability, reliability, and timeliness of our Snowflake data platform. You’ll own pipeline monitoring, incident response, and operational support, while automating manual tasks to improve efficiency and data quality.

What You’ll Do:

• Monitor Pipelines: Track ELT/ETL workflows and dbt jobs, proactively identifying delays or failures.
• Incident Response: Troubleshoot SQL, Python, or ingestion issues and restore service quickly.
• Ensure Data Quality: Validate timely, accurate data from multiple sources and track quality metrics.
• User Support: Manage tickets (Jira/ServiceNow) for access requests, queries, and data issues.
• Automation: Develop Python scripts to automate maintenance, alerts, and validations.
• CI/CD Support: Assist with smooth dbt/code releases and quick rollbacks.
• Root Cause Analysis: Document incidents and implement solutions to prevent recurrence.

What We’re Looking For:

• Operational Experience: Background in DataOps, SRE, or production support.
• SQL: Strong skills for debugging and validating data issues.
• Python: Proficient in scripting and automation (Python 3.10/3.11 preferred).
• Troubleshooting: Analytical mindset to trace errors across logs, code, and data lineage.
• Snowflake: Familiarity with virtual warehouses, history tables, and query profiling.
• Communication & Agility: Able to clearly work with technical teams and business users, adapt quickly in a lean environment.
• Bonus Skills:
• Familiarity with observability tools (Monte Carlo, Datadog, alerting)
• Experience with Git and CI/CD pipelines

Why This Role is Exciting:

You’ll be at the heart of keeping a modern data platform running smoothly, solving real-time challenges, and building automation that directly improves the reliability and efficiency of analytics for the organization.

Rol

Deseable

Specialist Supply Chain Planning – Material Planner

We are hiring: Specialist Supply Chain Planning – Material Planner

Regional scope | Manufacturing | Consumer & Industrial

On behalf of a global German company, founded in 1876, with a strong international presence and recognized as a market leader in consumer and industrial products, we are looking for a Specialist Supply Chain Planning – Material Plannerto join a high-impact regional Supply Chain organization.

The company operates across two major business areas:

• Consumer Products, focused on household and personal care solutions.
• Industrial Solutions, specializing in adhesives, sealants and coatings for industrial applications.

Role impact:

This position plays a key role in ensuring the timely availability of raw and packaging materials, supporting manufacturing operations, maintaining optimal inventory levels and contributing to supply chain resilience.

Key responsibilities:

• Ensure material availability to support the Master Production Schedule while optimizing inventory.
• Execute and monitor MRP, manage alerts and create purchase requisitions.
• Validate and optimize planning parameters (MOQ, lead times, sourcing).
• Collaborate closely with suppliers to anticipate and mitigate supply risks.
• Escalate critical supply issues and provide visibility to Production Planning and S&OP.
• Support strategic procurement initiatives such as supplier footprint optimization and single/dual sourcing.

What we are looking for:

• 2–5 years of experience in Material Planning or Supply Chain Planning.
• Hands-on experience with ERP and APS tools.
• Strong analytical skills with a solid understanding of inventory KPIs (DOS, L16, L56, OSMI).
• Ability to manage complexity, collaborate cross-functionally and communicate effectively.
• Bachelor’s degree in Engineering, Business, Supply Chain or related fields.
• English proficiency at B2 or C1 level (required).

This role offers direct exposure to regional operations, supplier management and strategic supply chain initiatives within a global, well-established organization.

If you are interested in growing your career in a global environment and making a tangible impact on supply chain performance, apply or share your profile.