Data Analyst nearshore

Description

Our client is a global technology consulting and digital solutions company helping more than 750 clients succeed in a converging world. They go the extra mile for their clients and accelerate their digital transformation with the Mosaic platform enabling their mobile, social, analytics, IoT, and cloud journeys. 

Our client is a USD 3.4 billion company with 90,000+ professionals across five continents, helping global customers with innovative solutions. 

The Group operates in the key industries that drive economic growth, enjoying a leadership position in the construction industry, financial industry, and technology.

We are currently searching for a Data Analyst nearshore:

Responsibilities:

• Analyze data and generate actionable insights to support strategic decision-making.
• Enhance and validate dashboards, ensuring alignment with business KPIs.
• Translate business needs into technical specifications for dashboard/report development.
• Validate wireframes and Power BI dashboards, ensuring all KPIs and requirements are accurately represented.
• Collaborate with stakeholders to clarify and document analytical needs.
• Act as a liaison between Power BI developers and business teams, ensuring smooth delivery.
• Ensure data accuracy, consistency, and integrity across supply chain reporting systems.
• Provide ad-hoc analysis and reporting support.
• Participate in requirement workshops, sprint meetings, and backlog grooming sessions.
• Attend Scrum calls to report on data requirements, progress updates, and blockers.

Requirements:

• Experience in data analysis, preferably in cloud-based environments.
• Strong knowledge of business/data requirements gathering and documentation.
• Proficiency with Google Cloud Platform (GCP), BigQuery, and Power BI (preferred).
• Hands-on SQL experience and understanding of data warehousing concepts.
• Excellent communication and stakeholder management skills.

Additional Technical Responsibilities:

• Develop and maintain modular Python code.
• Design and implement APIs to integrate and propagate data across systems.
• Review GitHub pull requests, ensuring quality via testing and documentation.
• Build observable systems with proper logging and monitoring.
• Write unit tests using Pytest, and work with FastAPI and Celery.
• Understand asynchronous patterns (asyncio, threading, multiprocessing).
• Basic understanding of networking, DNS, HTTP requests, subnetting.
• Experience with Docker and Linux.
• Familiarity with cloud providers (AWS, GCP, OCI).
• Exposure to RESTful APIs and Terraform or IaC tools.

Bonus Skills:

• Knowledge of Go or Rust, CDN architectures, adaptive bitrate streaming.
• Familiarity with Kubernetes, fault-tolerant systems, and API orchestration.
• Understanding of type annotations, immutability/mutability, concurrency, scoping.
• Experience with metrics pipelines, ETL processes, and multi-CDN environments.

Languages

• Advanced Oral English.
• Native Spanish.

Note:

• Hybrid Mexico o Costa Rica
• Av. P.º de la Reforma 250-PISO 8, Torre A, Juárez, Cuauhtémoc, 06600 Ciudad de México, CDMX
• Edif. G, Forum I, Parque Empreasarial, piso 2, San José, Santa Ana, Costa Rica



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Requirements

Requirements:

• Experience in data analysis, preferably in cloud-based environments.
• Strong knowledge of business/data requirements gathering and documentation.
• Proficiency with Google Cloud Platform (GCP), BigQuery, and Power BI (preferred).
• Hands-on SQL experience and understanding of data warehousing concepts.
• Excellent communication and stakeholder management skills.