Senior Analytics Engineer — Data Platform & AI

Ryzlabs; Buenos Aires; Presencial; ARS 1.500.000 - 2.700.000; Jornada completa

Descripción de la vacante

Ryz Labs is seeking a hands-on Senior Data Engineer / Analytics Engineer to own and evolve data platforms, reporting layers, and AI-driven capabilities for a client at scale. You will report to the Head of Data & Analytics and work across finance, operations, merchandising, marketing, and product as a high-impact individual contributor.

You’ll move quickly in a startup/scale-up environment, taking ownership from problem definition through implementation while balancing speed and quality.

Formación

• 5–10+ years of experience in data engineering, analytics engineering, or advanced analytics roles.
• Strong experience with GCP and BigQuery, including materialized views, scheduled queries, and large-scale SQL optimization.
• Experience with modern data ingestion tools—Airbyte (Cloud or OSS) strongly preferred; comfort managing connectors, debugging sync failures, and building validation frameworks.
• Strong proficiency in SQL and data modeling, with comfort using AI tools (e.g., Claude Code) to accelerate development. You should be fluent in CTEs, window functions, UNION ALL patterns, date-spine techniques, and anti-join logic.
• Proven experience supporting financial reporting and working closely with finance teams—P&L reconciliation, COGS analysis, revenue waterfalls, and unit-economics datasets.
• Experience building dashboards and reporting in modern BI tools.
• Familiarity with AI workflows and building structured datasets for LLM-powered agents.
• Experience working across multiple business domains (ops, marketing, finance, product, etc.).
• Strong ownership mindset with the ability to operate independently.
• Comfortable in a fast-paced, ambiguous environment with shifting priorities.

Responsabilidades

• Own and evolve data architecture across ingestion, transformation, and reporting layers, with a centralized cloud data warehouse.
• Build and maintain scalable data pipelines across a variety of internal and external data sources, ensuring reliability, completeness, and accuracy.
• Develop robust validation frameworks to monitor data quality and quickly identify issues.
• Write and optimize complex SQL to power analytics, reporting, and business decision-making.
• Design and maintain data models that support financial reporting, operational analytics, and merchandising insights.
• Partner closely with Finance to ensure accurate, reconcilable reporting across revenue, costs, and unit economics.
• Build and maintain dashboards and reporting used by leadership to drive decisions across the company.
• Identify and resolve data issues quickly, balancing speed and accuracy in a fast-moving environment.
• Support integrations between core business systems and ensure clean, consistent data across platforms.
• Explore and implement AI-driven workflows that enhance data accessibility and decision-making.
• Automate manual reporting processes and improve operational efficiency across teams.
• Act as a cross-functional partner, translating ambiguous business questions into clear, actionable insights.

Conocimientos

SQL

Data modeling

BigQuery

GCP

Data pipelines

Data quality

BI dashboards

Finance analytics

Independent work

Cross-functional

Herramientas

Airbyte

Looker

Descripción del empleo

Ryz Labs is seeking a hands-on Senior Data Engineer / Analytics Engineer to own and evolve data platforms, reporting layers, and AI-driven capabilities for a client at scale. You will report to the Head of Data & Analytics and work across finance, operations, merchandising, marketing, and product as a high-impact individual contributor.

You’ll move quickly in a startup/scale-up environment, taking ownership from problem definition through implementation while balancing speed and quality.