Business Intelligence Data Analytics Engineer (Snowflake, Fivetran)

4–7 years of experience in analytics engineering, business intelligence, or a related data role.

Hands-on experience with Snowflake and Fivetran in a production environment.

Strong SQL skills for querying, joining, and transforming structured data across complex schemas.

Experience building and maintaining Tableau dashboards and data sources.

Familiarity with CRM data structures, particularly Salesforce objects and reporting.

Experience working cross-functionally with Finance, Ops, or GTM teams to support data and reporting needs.

Bachelor’s degree in a quantitative, technical, or business fields (e.g., Statistics, Mathematics, Economics, Computer Science, Data Science, Business Analytics). Master’s degree preferred.

Technical Skills

Snowflake: schema design, virtual warehouse management, RBAC, query optimization, and cost monitoring.

Fivetran : connector configuration, sync scheduling, schema change handling, and MAR management.

Tableau : advanced dashboard design, calculated fields, LOD expressions, data source management, and Tableau Server/Cloud publishing.

SQL : advanced querying across Snowflake; window functions, CTEs, and performance tuning.

Salesforce: familiarity with standard and custom objects, SFDC data exports, and CRM reporting structures.

Git: version control for analytics codebases.

Python (preferred) for data analysis, automation, and supplemental data processing tasks.

Analytical & Business Acumen

Solid understanding of SaaS business metrics (ARR, NRR, churn, pipeline coverage, quota attainment) and how they flow through financial and GTM reporting.

Ability to integrate, clean, and analyze data from disparate source systems into a coherent, governed data model.

Skilled in translating complex data into clear narratives, actionable insights, and strategic recommendations for Finance and executive audiences.