Analytics Engineer

Svitla Systems, Inc.; Buenos Aires; Híbrido; ARS 1.200.000 - 1.800.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Bonuses for recommendations

Personalized learning program

Flexible workspace options

Free tech webinars and meetups

Vacation days 15 + holidays

Descripción de la vacante

Svitla Systems, Inc. is seeking an Analytics Engineer for a full-time on-site position in Buenos Aires, Argentina.

This role sits at the crossroads of data engineering, analytics, and client stakeholders to ensure data is accurate, up-to-date, and ready for reporting and analysis. You will own data ingestion, validate data quality, and model reporting datasets in Databricks, while partnering with BI teams using Tableau or Power BI.

Formación

• Requires 3-6 years of relevant experience.
• Strong SQL and Python skills in a Databricks environment.
• Experience with ETL tools and data manipulation concepts.

Responsabilidades

• Data Ingestion & Source Management: onboarding data sources, ensure successful ingestion, monitor schedules, maintain documentation.

Conocimientos

SQL

Python

Databricks

ETL tools

Data ingestion

Data quality

Data modeling

BI concepts

KPI definitions

Stakeholder communication

Herramientas

Databricks

Tableau

Power BI

Funnel.io

DBT

Descripción del empleo

Svitla Systems Inc. is looking for an Analytics Engineer for a full-time on-site position (40 hours per week) in Buenos Aires, Argentina.

Our client is a global healthcare communications network.

The Business Insights Engineer I serves as a key member of the Measurement Enablement team, ensuring client data is accurate, up to date, and ready for reporting and analysis. This role bridges the gap between data engineering, analytics teams, and client stakeholders by managing data ingestion processes, validating data quality, maintaining reporting-ready data structures, and resolving issues throughout the data lifecycle. The perfect candidate enjoys investigating data questions, identifying root causes of data discrepancies, improving data quality, and working across multiple teams to ensure reliable data powers business decisions.

Requirements

• 3-6 years of relevant experience.
• Strong SQL and Python skills, in a Databricks environment preferrable
• Experience using ETL tools and data manipulation concepts (Funnel.io, DBT, or similar applications).
• Comfort partnering with Data Engineering on data sources, schemas, and refresh logic.
• Deep analytical and problem-solving skills related to data storage and structure for reporting
• Experience reviewing data logic, KPI definitions, and QA outputs.
• Basic BI (Tableau, Power BI) skills including data modeling, dashboard structure, calculated fields, usability, data storytelling
• Strong written and verbal communication with technical and non-technical stakeholders.
• Ability to translate complex BI outputs into clear, executive-ready insights.

Will be a plus

• Experience with Pharma, HCP, or healthcare media analytics.
• Digital media measurement expertise (media KPIs, attribution concepts, omnichannel analysis).
• Experience inheriting or stabilizing existing data warehouse schemas.

Responsibilities

Data Ingestion & Source Management

• Coordinate the onboarding of new client data sources and data feeds.
• Partner with Data Engineering to ensure successful ingestion of data into Databricks.
• Monitor data delivery schedules and ingestion processes.
• Maintain source documentation, field mappings, and data inventories.
• Work directly with internal teams and external partners to resolve source-related issues.

Data Quality & Stewardship

• Monitor data freshness, completeness, and accuracy across client datasets.
• Perform ongoing quality assurance and reconciliation checks.
• Escalate, coordinate and resolve remediation efforts with the appropriate teams.
• Maintain documentation of data quality findings and resolutions.
• Support the development of automated data quality checks and monitoring processes.

Data Modeling

• Develop and maintain client-specific standard, custom, and master tables and reporting views within Databricks based on a medallion architecture.
• Assist with transforming and standardizing data from multiple sources into reporting-ready structures.
• Solve problems and help build solutions related to the data model to meet evolving reporting and analysis needs.
• Document business rules, transformation logic, and metric definitions.
• Support maintenance of reusable reporting datasets and standardized data models.

Stakeholder Support

• Act as the primary point of contact for routine data-related questions.
• Partner with Client Services, Media, Strategy, and Data teams to align on data outputs and expectations.
• Work with analysts and measurement leads to understand reporting requirements.
• Communicate data issues, impacts, and resolutions to stakeholders.
• Assist with troubleshooting data discrepancies impacting reporting deliverables.

Reporting Support

• Support Power BI developers and analysts with data-related questions.
• Assist with report validation and troubleshooting.
• Help verify data displayed in dashboards aligns with source systems and business requirements.
• Provide support for semantic models and reporting datasets when needed.

We offer

• US and EU projects based on advanced technologies.
• Competitive compensation based on skills and experience.
• Regular performance appraisals to support your growth.
• Flexibility in workspace, either remote, our welcoming office or local coworking.
• Bonuses for recommendations of new employees.
• Bonuses for article writing, public talks, other activities.
• 15 vacation days, 10 national holidays, 10 sick leaves.
• Personalized learning program tailored to your interests and skill development.
• Free tech webinars and meetups organized by Svitla.
• Fun corporate online\offline celebrations and activities.
• Awesome team, friendly and supportive community!

Why join Svitla

Svitla Systems is a global digital solutions company headquartered in the U.S. and operating across the Americas, Europe, Asia, and APAC. Since 2003, we have served a wide range of clients - from innovative start-ups to Fortune 500 companies. Our success is built on partnership. By integrating seamlessly with clients' teams, we create lasting collaborations that drive real results. We are strong advocates of workplace flexibility, remote culture, individual approach to professional and personal growth.

Our global mission is to build a business that contributes to wellbeing of our partners, personnel, and their families, improves our communities, and makes a lasting difference in the world. Together, we are coding a brighter tomorrow - and living it.