Job
Description
This is a remote position. We are seeking a Analytics Engineer (Snowflake and Databricks) to join our team. This role requires a strong foundation in SQL, experience with data warehouses, and the ability to work cross-functionally with different teams including presenting to executives. If you enjoy rolling up your sleeves, tackling complex data challenges, and driving business impact through data, this role is for you. Responsibilties: Design, develop, and optimize SQL queries to support data transformations, reporting, and analytics. Work with modern data warehouses (e.g., Snowflake, Databricks, Redshift) to ensure efficient data storage and retrieval. Build and maintain ETL/data pipelines using tools like Matillion and Snowflake (experience with other tools is relevant). Partner with business teams to understand data needs, improve reporting capabilities, and drive insights. Interface with executives and stakeholders to present findings and influence data-driven decisions. Support and guide best practices for data modeling, data governance, and data integrity. Work with Salesforce data and contribute to tracking key business metrics such as SaaS subscription renewals and customer analytics. Collaborate across departments to improve data collection, reporting, and analytics processes. Utilize Python for automation, data processing, and enhancing ETL workflows. (Nice to have) Work with data visualization tools like Tableau or Power BI to develop dashboards and reports. Requirements Strong SQL skills – you should be comfortable writing complex queries and optimizing them for performance. Experience working with modern data warehouses (Snowflake, Databricks, Redshift, etc.). Hands-on experience with ETL/data pipeline tools (Matillion preferred, but experience with others is relevant). Business acumen – you understand SaaS metrics, subscription models, and how businesses operate. Ability to work with Salesforce data and structure reporting for business insights. Strong communication skills – you can interface with executives, translate business needs into data solutions, and collaborate across teams. A problem-solving mindset – you proactively identify issues and propose solutions that improve data quality and reporting. Experience with Python for scripting, automation, or light data engineering tasks. A roll-up-your-sleeves attitude – you’re not afraid to jump in and tackle a variety of tasks to support the business. 2-3+ years of real-world experience applying these skills in a business setting. Nice to Have (But Not Required): Experience with data visualization tools like Tableau or Power BI. Understanding of best practices for reporting, data modeling, and business intelligence. Benefits Work Location: Remote 5 days working Show more Show less
