Analytics Engineer (Sales Ops)

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 DESCRIPTIONCore Job Requirements5+ years of experience in analytics engineering, data engineering, or advanced business intelligence roles within a modern data stack environmentAdvanced proficiency in SQL with demonstrated experience building performance, well-modeled analytical datasetsHands-on experience with dbt for analytics-layer modeling, testing, and documentationExperience working with cloud data warehouses, preferably Snowflake, including performance tuning and cost-aware designStrong understanding of analytics engineering best practices, including:Star and snowflake schemasIncremental modelsFact / dimension separationMedallion ArchitectureExperience working in a CI/CD-driven analytics environment, including version control, code review, and deployment pipelinesProven ability to partner closely with business stakeholders to translate requirements into trusted analytical assetsBachelor's degree in Analytics, Information Systems, Computer Science, Mathematics, Finance, or equivalent practical experienceSales Operations Domain Expertise (Required Emphasis)Proven experience supporting Sales Operations, Revenue Operations, or Commercial Analytics functionsStrong knowledge of sales and revenue data domains, including:Pipeline and funnel metricsBookings, billings, and revenue recognition conceptsQuota, attainment, and compensation-related metricsForecasting, actuals vs. targets, and variance analysisExperience integrating and modeling data from CRM platforms (e.g., Salesforce or similar)Ability to design sales performance and executive dashboards that support:GTM leadershipCapacity planningTerritory and account analyticsComfort working with imperfect or evolving operational data and establishing trust through modeling, validation, and documentationTechnical & Platform SkillsAdvanced SQL and data modeling expertisedbt (models, tests, macros, docs, exposures)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 lineageProfessional & Communication SkillsStrong business acumen with the ability to frame data in commercial termsClear, concise communicator capable of working with:Sales leadershipData engineering and platform teamsAbility to write clear, durable documentation for models, metrics, and assumptionsHigh attention to detail with a strong bias toward accuracy, consistency, and auditabilityComfortable operating in a federated enterprise environment with multiple upstream systems

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