Analytics Engineering

Hello, We’re looking for an Analytics Engineer from B2B SaaS environment who loves diving into complex, messy enterprise data and turning it into actionable insights. In this role, you’ll work across multiple systems—Salesforce, Tableau, SaaS apps (Snowflake and GitHub) and more—to standardize, model, and prepare data for reporting and analytics. Please Note: Not looking for Consumer based analytics experience. Remote Roles Pay Rate: $55/hour Duration: 6+months with possibility of longer-term extensions/conversion to CTH Client is not open to C2C, H1B, TN Visa, 1099, F1 – CPT & OPT If interested, please email your resume to grace.johnson@motionrecruitment.com Role: Aggregate, transform, and standardize data from multiple systems to create a single source of truth in Tableau. Develop and maintain DBT pipelines and ETL processes for reliable, high-quality data. Collaborate with engineers, UX researchers, and business leaders to understand and map complex data relationships. Build and maintain Tableau dashboards that help drive business decisions. Support AI initiatives by ensuring clean, standardized data inputs for modeling. Required: Data Management expert with enterprise data. Experienced with Salesforce, especially back-end data structures and complex object relationships. Skilled at connecting the dots across disparate datasets and creating standardized data models. Experience with GitHub or other version control for data workflows. Experience with large-scale data modeling for analytics for AI purposes. Experience with AI inputs (not outputs) Experience from a B2B SaaS environment with multiple systems and revenue data complexities. Strong problem solver with a knack for operational data management over pure data science.