Analytics Engineer – Data Engineering & Power BI

Turtle Trax S.A.; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Turtle Trax S.A. is seeking an Analytics Engineer to bridge data engineering and analytics across source data, transformations, and Power BI reporting. This remote role emphasizes end-to-end ownership of data pipelines and dashboards.

You will work with Snowflake, dbt, and Airflow to build reliable models, optimize performance, and deliver production-ready insights for business stakeholders.

Qualifications

• 10+ years of hands-on data engineering and analytics experience.
• Excellent communication and client-facing skills.
• Strong ability to work as an individual contributor.
• Hands-on across SQL/dbt/Python and Power BI.

Responsibilities

• Build and maintain data pipelines using dbt and Python in Airflow.
• Develop data models for analytics and reporting.
• Work with SQL and data warehouses to transform data.
• Create Power BI dashboards and DAX measures.
• Translate business requirements into data models and reports.
• Perform data quality checks and troubleshoot pipelines.
• Collaborate with business, analytics, and engineering teams.
• Explore AI tools to enhance productivity.

Skills

SQL

Python

Data modeling

Power BI

DAX

Tools

Snowflake

dbt

Airflow

Job description

Analytics Engineer – Data Engineering & Power BI

Remote

Advanced english

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. The ideal candidate should be comfortable owning data tasks end-to-end — from understanding source data and building transformation pipelines to creating well-designed datasets and Power BI dashboards.

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.
• Troubleshoot data issues across the pipeline, from source through transformation to reporting.
• Take ownership of assigned tasks and independently drive them through development, testing, and completion.
• Work closely with business, analytics, and engineering teams to deliver production-ready solutions.
• 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.
• 100% Hands on in the mentioned skills

Ideal Candidate

We are looking for someone who is data-first and hands-on. The candidate should be equally comfortable writing SQL/dbt/Python transformations, investigating a data issue, designing an analytics model, and building or modifying a Power BI report.

We are particularly looking for someone who can ramp up quickly, understand an existing data environment, take ownership of assigned work, and consistently deliver completed solutions.