DATA/POWER BI

Turtle Trax S.A.; Región Centro; Remote; MXN 900,000 - 1,300,000; Full time

Job summary

Turtle Trax S.A. seeks an Analytics Engineer to own data engineering and analytics tasks. You will build data pipelines with dbt and Python in Airflow, model analytics data, and craft Power BI dashboards with robust data models.

The role blends ELT work with reporting to deliver reliable insights for decision makers. Ideal candidates bring 10+ years in data engineering, strong SQL/Python, Snowflake experience, and a proven ability to work independently in a fast-paced environment while engaging

Qualifications

• 10+ years experience in data analytics/engineering.
• Strong SQL and data analysis skills.
• Python for data pipelines.
• dbt and ELT/data transformation experience.
• Data modeling knowledge (dimensional models, fact/dimensions).
• Experience with modern cloud data warehouses (Snowflake).
• Power BI experience including data modeling and DAX.

Responsibilities

• Build, maintain, and enhance data pipelines and transformations using dbt and Python (Airflow).
• Develop clean, reliable data models for analytics and reporting.
• Work with SQL and data warehouses to investigate data, troubleshoot, and transform data.
• Develop and maintain Power BI dashboards, reports, semantic models, and DAX measures.
• Translate business requirements into data models and reporting solutions.
• Perform data analysis, validation, reconciliation, and data quality checks.
• Explore AI tooling to improve productivity in tasks.

Skills

SQL

Python

Power BI

Data modeling

dbt

Airflow

Snowflake

ELT

DAX

Tools

dbt

Airflow

Snowflake

Power BI

Python

SQL

Job description

Remote

Advanced english

Only México

Analytics Engineer – Data Engineering & Power BI We are looking for a hands‑on Analytics Engineer who can work across both data engineering and analytics/reporting. This is not a Power BI‑only role.

Key Responsibilities

Build, maintain, and enhance data pipelines and transformation workflows using dbt and python DAG in Airflow. Develop clean, reliable, and reusable data models for analytics and reporting. Work with SQL and data warehouse platforms to investigate data, troubleshoot issues, and implement transformations. Develop and maintain Power BI dashboards, reports, semantic models, and DAX measures. Translate business requirements into appropriate data models and reporting solutions. Perform data analysis, validation, reconciliation, and data quality checks. AI Forward - Understand how to marry AI tools to enhance productivity on tasks Required Skills Strong SQL and data analysis skills. Strong Python for data pipelines for complex transformations and integrations. Hands‑on experience with dbt and/or modern ELT/data transformation practices. Solid understanding of data modeling, including dimensional modeling, fact/dimension structures, and analytics datasets. Experience working with a modern cloud data warehouse, preferably Snowflake. Strong working experience with Power BI, including data modeling, DAX, dashboard development, and performance considerations. Ability to understand unfamiliar datasets and identify relationships, data quality issues, and transformation requirements. Experience debugging and supporting existing data pipelines and analytics solutions. Comfortable working independently in a fast‑paced environment and delivering tasks with limited supervision.

Must have below:

• 10+ Years Experience
• Great Communicator/Client Facing/ Attention to detail
• Individual Contributor and ability to work as a team.