Data Analyst Senior Associate

Auxis LLC; Bogotá; Presencial; COP 45.000.000 - 75.000.000; Jornada completa

Descripción de la vacante

Auxis LLC is seeking a Data Analyst to design and deliver robust data platforms, validate data integrity, and translate business needs into structured data models. You will work with Snowflake, REST APIs, and ETL/ELT tools to ensure high-quality analytics and reliable data for BI and AI products.

You will collaborate with Business Teams, Data Architects, and Engineers, perform data profiling, and support UAT and data quality initiatives across ERP, HCM, and CRM data sources.

Formación

• BS in Computer Science or Information Systems or equivalent
• 5+ years as Data Analyst in enterprise environments
• Experience with ETL/ELT tools (Informatica, DBT)
• Experience with BI/reporting tools (Power BI, Tableau)
• Experience with data modeling (Dimensional, Data Marts, Data Warehousing)
• AWS/Azure/GCP familiarity and API testing tools exposure (Postman, Swagger)
• Agile/Scrum delivery exposure and strong communication skills

Responsabilidades

• Gather, validate, and clarify data and reporting requirements with business stakeholders.
• Translate business needs into detailed functional and technical requirements.
• Create Source-to-Target Mapping documents and data logic definitions.
• Document business rules, data definitions, and transformation steps.
• Perform data lineage analysis across Snowflake, APIs, and reporting layers.
• Support data modeling aligned with Medallion architecture.
• Collaborate with data engineers and QA to ensure correct interpretation of requirements.
• Assist UAT and address data-related gaps through testing and validation.

Conocimientos

SQL

Python

Data validation

ETL/ELT

API integration

Data modeling

English (B2+)

Educación

BS in Computer Science or Information Systems

5+ years Data Analyst experience

Herramientas

Snowflake

Informatica

DBT

Power BI

Tableau

Excel

Descripción del empleo

Job Summary

Data & Analytics function is dedicated to designing and delivering robust global data platforms that enable business solutions and high-quality analytics. The Data Analyst is responsible for interpreting and analyzing data from complex sources like ERP, HCM, and CRM to support data-driven decision making and ensure the accuracy, integrity, and usability of information within the organization’s Data Lakehouse. This hands-on role focuses on requirements translation, source-to-target mapping, dimensional modeling support, ELT/ETL validation, testing support and data quality. Working closely with Business teams, Data Architects, and Engineers, the Data Analyst transforms business processes into well-structured, secure, and reliable data models and pipelines, enabling the Data Lakehouse to serve as a trusted foundation for analytics, reporting and AI products.

Responsibilities

• Work closely with business stakeholders to gather, validate, and clarify data and reporting requirements.
• Translate business needs into detailed functional and technical requirement documents.
• Develop comprehensive Source-to-Target Mapping (STTM/STM) documents capturing field-level data logic.
• Create detailed Business Rules, Data Definitions, and Data Transformation documentation.
• Perform complete data lineage analysis across Snowflake, APIs, upstream sources, and reporting layers.
• Assist in data modeling and design aligned with Medallion architecture (Bronze/Silver/Gold layer separation).
• Conduct data profiling, validation, and reconciliation using Snowflake SQL.
• Work with REST API data integrations, including reading API specifications, understanding payloads, and mapping to Snowflake tables.
• Collaborate with data engineers, ETL/ELT developers, and QA to ensure accurate interpretation of the requirements.
• Support UAT and resolve data-related gaps through iterative testing and validation.
• Mentor and guide more junior team members.

Skills and Experience

• English level B2+
• Proven experience with programming languages such as SQL and Python for data validation, profiling, reconciliation, and analytics.
• Strong hands-on Snowflake experience is required, including:
  • Ability to construct & optimize complex SQL queries
  • Variant/JSON parsing
  • Schema and stage understanding
  • Performance analysis & troubleshooting
• Working experience in Medallion Architecture (Bronze, Silver, Gold data layers) including mapping data flows across layers.
• Proven experience with API-based data ingestion (REST APIs, JSON/XML).
• Ability to interpret API documentation and create field mappings for Snowflake ingestion.
• Experience building Source-to-Target mapping documents and transformation rules.
• Strong understanding of data lineage, metadata traceability, and impact analysis.
• Experience writing BRDs, FRDs, mapping documents, and business rule specifications.
• Effective communication skills with ability to work directly with business stakeholders.
• Excellent analytical and problem-solving skills.

Education / Professional Experience/ Qualifications

• Bachelor of Science (BS) in computer science or information systems (or equivalent work experience).
• 5+ years of Data Analyst or Business Data Analyst experience in enterprise data environments.
• Preferred: Experience in professional services, accounting industry, or client service/consultative technology roles.
• Experience with ETL/ELT tools (Informatica, DBT).
• Experience with BI/reporting tools (Power BI, Tableau, Excel).
• Experience with data modeling methodologies (Dimensional modeling, Data Marts, Data Warehousing, Star/Snowflake schema).
• Familiarity with cloud data platforms (Azure, AWS, GCP).
• Exposure to API testing tools (Postman, Swagger).
• Agile/Scrum delivery exposure.