Analytics Engineer — Data Quality & BI Insights (Databricks)

Svitla Systems, Inc.; Argentina; Presencial; ARS 2.790.000 - 4.687.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private medical insurance

Flexible workspace options (remote/on‑

Referral bonuses

Article writing/speaking bonuses

20 vacation days plus holidays

Descripción de la vacante

Svitla Systems, Inc. is seeking an Analytics Engineer for a full-time, on-site role in Buenos Aires, Argentina. You will bridge data engineering and analytics teams, ensuring accurate ingestion, quality checks, and reporting-ready structures across multiple client datasets.

Responsibilities include data ingestion, QA, data modeling in Databricks, and stakeholder coordination. Strong SQL/Python and BI basics are required; healthcare analytics experience is a plus.

Formación

• 3-6 years of relevant analytics experience.
• Strong SQL and Python skills in a Databricks environment.
• Experience with ETL tools and data manipulation.
• Collaboration with Data Engineering on sources and refresh logic.
• Analytical and problem-solving for data storage structures.
• Experience reviewing KPI definitions and QA outputs.
• Basic BI skills: Tableau/Power BI, data modeling and dashboards.
• Excellent written and verbal communication with stakeholders.
• Translate BI outputs into executive-ready insights.

Responsabilidades

• Data Ingestion & Source Management: Coordinate onboarding of new client data sources and feeds.
• Data Ingestion & Source Management: Partner with Data Engineering to ingest data into Databricks.
• Data Ingestion & Source Management: Monitor data delivery schedules and ingestion processes.
• Data Ingestion & Source Management: Maintain source documentation, field mappings, and data inventories.
• Data Ingestion & Source Management: Resolve source-related issues with internal teams and partners.
• Data Quality & Stewardship: Monitor data freshness, completeness, and accuracy.
• Data Quality & Stewardship: Perform ongoing QA and reconciliation checks.
• Data Quality & Stewardship: Investigate missing or inconsistent data.
• Data Quality & Stewardship: Escalate remediation efforts with appropriate teams.
• Data Quality & Stewardship: Maintain documentation of data quality findings and resolutions.
• Data Quality & Stewardship: Support automated data quality checks and monitoring processes.
• Data Modeling: Develop and maintain client-specific tables and views in Databricks based on a medallion architecture.
• Data Modeling: Transform and standardize data from multiple sources into reporting-ready structures.
• Data Modeling: Solve problems and help build solutions related to the data model to meet evolving reporting and analysis needs.
• Data Modeling: Document business rules, transformation logic, and metric definitions.
• Data Modeling: Support maintenance of reusable reporting datasets and standardized data models.
• Stakeholder Support: Act as the primary point of contact for routine data-related questions.
• Stakeholder Support: Partner with Client Services, Media, Strategy, and Data teams to align on data outputs and expectations.
• Stakeholder Support: Work with analysts and measurement leads to understand reporting requirements.
• Stakeholder Support: Communicate data issues, impacts, and resolutions to stakeholders.
• Stakeholder Support: Assist with troubleshooting data discrepancies impacting reporting deliverables.
• Reporting Support: Support Power BI developers and analysts with data-related questions.
• Reporting Support: Assist with report validation and troubleshooting.
• Reporting Support: Help verify data displayed in dashboards aligns with source systems and business requirements.
• Reporting Support: Provide support for semantic models and reporting datasets when needed.

Conocimientos

SQL

Python

Databricks

ETL tools

Data modeling

Data quality

Data storytelling

Tableau

Power BI

Stakeholder comms

Herramientas

Funnel.io

DBT

Descripción del empleo

Svitla Systems, Inc. is seeking an Analytics Engineer for a full-time, on-site role in Buenos Aires, Argentina. You will bridge data engineering and analytics teams, ensuring accurate ingestion, quality checks, and reporting-ready structures across multiple client datasets.

Responsibilities include data ingestion, QA, data modeling in Databricks, and stakeholder coordination. Strong SQL/Python and BI basics are required; healthcare analytics experience is a plus.