About this role
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.