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.