Analytics Engineer/Data Analyst

About the role

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.