We are seeking an experienced Analytics Engineer to join our team on a contract basis. In this role, you will be responsible for building and maintaining scalable analytics data pipelines, transforming raw data into reliable analytics-ready datasets, and supporting business reporting through robust dashboards and data models.

The ideal candidate has strong expertise in SQL, Snowflake, dbt, and Tableau, along with a solid understanding of data modeling, data quality, and modern analytics engineering practices.

Key Responsibilities

• Design, build, and maintain scalable data models and analytics pipelines using Snowflake and dbt.
• Develop, optimize, and maintain SQL-based transformations and reporting datasets.
• Support and enhance Tableau dashboards, reports, and data sources.
• Monitor, validate, and improve data quality across analytics workflows.
• Investigate and resolve data pipeline issues, discrepancies, and reporting challenges.
• Collaborate with business stakeholders and technical teams to gather requirements and translate them into scalable data solutions.
• Create and maintain documentation for data models, business logic, transformations, and validation processes.
• Contribute to best practices for analytics engineering, data governance, and reporting standards.

Required Qualifications

• Strong proficiency in SQL for data transformation, analysis, and reporting.
• Hands-on experience with Snowflake and dbt.
• Experience developing or supporting Tableau dashboards and reporting solutions.
• Strong understanding of data modeling concepts and analytics data architecture.
• Experience with data validation, quality assurance, and troubleshooting data issues.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and manage deliverables in a contract environment.

Preferred Qualifications

• Experience with modern data stack tools and end-to-end analytics workflows.
• Familiarity with ELT/ETL processes and data warehousing best practices.
• Experience working with cross-functional business and technical teams.
• Exposure to cloud-based analytics ecosystems and reporting platforms.