Senior Data Analyst

Auxis; Bogotá ciudad; Presencial; COP 90.000.000 - 140.000.000; Jornada completa

Descripción de la vacante

Auxis is seeking a Senior Data Analyst to bridge business stakeholders and data engineering teams. The role focuses on shaping the Data Lakehouse via a Medallion architecture, translating business processes into secure data models with Snowflake at the core.

You will work hands-on with SQL and Python to implement data pipelines, perform lineage analysis, and validate data across source systems and reporting layers.

Formación

• BS in Computer Science, Information Systems, or equivalent.
• 5+ years in enterprise data environments as a Data/Business Data Analyst.
• Advanced English (B2+).
• Bonus points for consulting experience or cloud platform exposure (Azure/AWS/GCP) and dbt/Informatica.

Responsabilidades

• Extract, validate, and translate complex business requirements into functional and technical designs.
• Perform full-scope data lineage analysis across Snowflake, upstream API sources, and reporting layers.
• Collaborate with ETL/ELT developers, Data Architects, and QA to ensure accurate data pipelines.

Conocimientos

Snowflake

SQL

Python

Medallion Architecture

STTM

Educación

BS in Computer Science or Information Systems

Herramientas

dbt

Informatica

Azure

AWS

GCP

Descripción del empleo

We are looking for a Senior Data Analyst to serve as the bridge between our business stakeholders and data engineering teams. You will play a hands-on role in shaping our Data Lakehouse by translating business processes into well-structured, secure data models using a Medallion architecture.

Core Tech Stack & Expertise

• Data Platform: Deep, hands-on Snowflake expertise (complex SQL, Variant/JSON parsing, performance analysis).
• Languages: Strong SQL and Python.
• Architecture: Medallion Architecture (Bronze, Silver, Gold layers), Source-to-Target Mapping (STTM).

Key Responsibilities

• Extract, validate, and translate complex business requirements into detailed functional and technical design documents.
• Perform full-scope data lineage analysis across Snowflake, upstream API sources, and reporting layers.
• Conduct heavy data profiling, UAT testing, and data reconciliation.
• Collaborate with ETL/ELT developers, Data Architects, and QA to ensure accurate implementation of data pipelines.

Who We Are Looking For

• Experience: 5+ years in enterprise data environments as a Data/Business Data Analyst.
• Education: BS in Computer Science, Information Systems, or equivalent.
• Language: Advanced English (B2+).
• Bonus Points: Background in professional services/consulting, exposure to dbt/Informatica, or cloud platforms (Azure/AWS/GCP).