Analytics Engineer

The is a hybrid opportunity with 4-days onsite in Suwanee. Candidates MUST be local to the Atlanta area. This role is not open to C2C, OPT, or any Visa consideration. No vendor support of any kind allowed. JOB DESCRIPTION Core Job Requirements 5+ years of experience in analytics engineering, data engineering, or advanced business intelligence roles within a modern data stack environment Advanced proficiency in SQL with demonstrated experience building performance, well-modeled analytical datasets Hands-on experience with dbt for analytics-layer modeling, testing, and documentation Experience working with cloud data warehouses, preferably Snowflake, including performance tuning and cost-aware design Strong understanding of analytics engineering best practices, including: Star and snowflake schemas Medallion Architecture Experience working in a CI/CD-driven analytics environment, including version control, code review, and deployment pipelines Proven ability to partner closely with business stakeholders to translate requirements into trusted analytical assets Bachelor’s degree in Analytics, Information Systems, Computer Science, Mathematics, Finance, or equivalent practical experience Sales Operations Domain Expertise (Required Emphasis) Proven experience supporting Sales Operations, Revenue Operations, or Commercial Analytics functions Strong knowledge of sales and revenue data domains, including: Pipeline and funnel metrics Bookings, billings, and revenue recognition concepts Quota, attainment, and compensation-related metrics Forecasting, actuals vs. targets, and variance analysis Experience integrating and modeling data from CRM platforms (e.g., Salesforce or similar) Ability to design sales performance and executive dashboards that support: GTM leadership Capacity planning Territory and account analytics Comfort working with imperfect or evolving operational data and establishing trust through modeling, validation, and documentation Technical & Platform Skills Advanced SQL and data modeling expertise Snowflake (query optimization, warehouse usage patterns, role-based access awareness) Experience integrating data from SaaS systems using ELT tools (e.g., Fivetran, Stitch, etc.) Familiarity with metadata management, data quality checks, and analytical lineage Professional & Communication Skills Strong business acumen with the ability to frame data in commercial terms Clear, concise communicator capable of working with: Data engineering and platform teams Ability to write clear, durable documentation for models, metrics, and assumptions High attention to detail with a strong bias toward accuracy, consistency, and auditability Comfortable operating in a federated enterprise environment with multiple upstream systems #J-18808-Ljbffr