Data Analyst Associate

Auxis LLC; Bogotá; In loco; COP 42.000.000 - 70.000.000; Tempo pieno

Descrizione del lavoro

Auxis LLC in Bogotá seeks a Data Analyst to interpret data from ERP, HCM, and CRM, supporting data-driven decisions and ensuring quality within the Data Lakehouse. The role emphasizes requirements translation, source-to-target mapping, and ELT/ETL validation to deliver reliable data pipelines.

Collaborate with data engineers and business teams to build secure data models and robust data lineage across Snowflake, REST APIs, and BI/reporting layers.

Competenze

• BS in computer science or information systems (or equivalent work experience).
• 1-3 years of Data Analyst or Business Data Analyst experience in enterprise data environments.
• 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.

Mansioni

• 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).
• Conduct data profiling, validation, and reconciliation using Snowflake SQL.
• Work with REST API data integrations, including reading API specs and mapping to Snowflake tables.
• Collaborate with data engineers, ETL/ELT developers, and QA to ensure accurate interpretation.
• Support UAT and resolve data-related gaps through iterative testing and validation.

Conoscenze

SQL

Python

Data profiling

Data validation

Data reconciliation

Analytical thinking

Communication

English B2+

Formazione

BS in CS or IS

Strumenti

Snowflake

Informatica

DBT

Power BI

Tableau

Excel

Postman

Swagger

Azure

AWS

GCP

Descrizione del lavoro

Job Summary

The 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.

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).
• 1 - 3 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.