Analytics Engineer

The is a hybrid opportunity with 4-days onsite in Dallas, TX. Candidates MUST be local to the Dallas area. This role is not open to C2C, OPT, or any Visa consideration. No vendor support of any kind allowed.

• s5+ years of experience in analytics engineering, data engineering, or advanced business intelligence roles within a modern data stack environmen
• tAdvanced proficiency in SQL with demonstrated experience building performance, well-modeled analytical dataset
• sHands-on experience with dbt for analytics-layer modeling, testing, and documentatio
• nExperience working with cloud data warehouses, preferably Snowflake, including performance tuning and cost-aware desig
• nStrong understanding of analytics engineering best practices, including
• :
  
  Star and snowflake schema
• sIncremental model
• nMedallion Architectur
• eExperience working in a CI/CD-driven analytics environment, including version control, code review, and deployment pipeline
• sProven ability to partner closely with business stakeholders to translate requirements into trusted analytical asset
• sBachelor’s degree in Analytics, Information Systems, Computer Science, Mathematics, Finance, or equivalent practical experienc

• s)
  Proven experience supporting Sales Operations, Revenue Operations, or Commercial Analytics functio
• ns Strong knowledge of sales and revenue data domains, includin
• g:
  
  Pipeline and funnel metri
• cs Bookings, billings, and revenue recognition concep
• ts Quota, attainment, and compensation-related metri
• cs Forecasting, actuals vs. targets, and variance analys
• is Experience integrating and modeling data from CRM platforms (e.g., Salesforce or simila
• r)
  Ability to design sales performance and executive dashboards that suppor
• t:
  
  GTM leadersh
• ip Capacity planni
• ng Territory and account analyti
• cs Comfort working with imperfect or evolving operational data and establishing trust through modeling, validation, and documentati

• lls Advanced SQL and data modeling expert
• isedbt (models, tests, macros, docs, exposur
• es)
  Snowflake (query optimization, warehouse usage patterns, role-based access awarene
• ss)
  Experience integrating data from SaaS systems using ELT tools (e.g., Fivetran, Stitch, et
• c.)Familiarity with metadata management, data quality checks, and analytical line

• ills Strong business acumen with the ability to frame data in commercial t
• erms Clear, concise communicator capable of working w
• ith:
  
  Sales leader
• ship
  
  Data engineering and platform t
• eams Ability to write clear, durable documentation for models, metrics, and assumpt
• ions
  
  High attention to detail with a strong bias toward accuracy, consistency, and auditabi
• lity Comfortable operating in a federated enterprise environment with multiple upstream sys