Analytics Engineer

Convene Hospitality Group (CHG) operates a global portfolio of lifestyle brands focused on creating places and experiences that bring people together. We're hiring Analytics Engineers to join CHG's Technology organization to build the foundational platform to democratize data at CHG, so that a venue GM, a finance lead, and an AI agent can ask a question and get the same trusted answer. Analytics engineers own the full path from ingestion to visualization, including governance and observability. You'll join the Data Platform team, reporting to its Engineering Manager, and work closely with other analytics engineers and business partners. You'll build on Snowflake, dbt, and Fivetran, using Snowflake-native capabilities like semantic views and Cortex to power ThoughtSpot and beyond. Salary range: Min $120,000, Max $160,000. Individual pay is based on skills, experience and other relevant factors, and minimums and maximums may vary based on location.

Responsibilities

Partner with the business (Finance, Sales, Operations, venue teams) to turn their needs into models and metrics they trust; Own ingestion for your domains: set up and maintain Fivetran connectors, land data in bronze, handle schema drift and load failures; Model the business: build dbt models moving data through bronze, silver, and gold, shaping gold so people outside the data team can use it; Own the semantic layer: set metrics, dimensions, and relationships, tune synonyms and descriptions, trace wrong answers to root cause, and help decide where definitions live; Power self-service in ThoughtSpot: build models and Liveboards, and turn real business questions into new test cases; Own the quality of conversational analytics: maintain a golden question set with certified answers, run it as a regression suite, and block releases that fail; Apply governance day to day: tag sensitive data at ingestion, apply tag-based masking and row access policies, follow team standards; Keep it fast and fresh: monitor freshness, data quality, and pipeline health, and tune query and model performance including warehouse sizing and Snowflake costs; Work AI-native: lead with specs, hand agents end-to-end tasks, and apply the same review bar to agent and human work

Requirements

3+ years in analytics engineering, data engineering, or BI development, building data products people rely on; Strong SQL; Built and maintained dbt models in production; Experience with a cloud data warehouse, ideally Snowflake; Experience with ELT ingestion tools like Fivetran, and ability to troubleshoot source-data issues such as schema changes, late-arriving data, and API limits; Understanding of data modeling: dimensional models, medallion layering, grain, slowly changing dimensions, and event lifecycles; Experience building dashboards or self-service data products used for decision-making; Tests and documents work as a habit; Curious about the business and asks what decision a request supports before building; Uses AI agents for multi-step work (SQL and dbt models, tests, documentation) and verifies their output; Explains work clearly to technical and non-technical partners; Takes ownership and sees work through

Nice to have

Experience evaluating LLM or natural-language analytics output, for example with golden sets or regression testing; Experience in hospitality, events, real estate, or another customer-centric, multi-location business

Benefits

Day-one health coverage for you and your family; 24/7 virtual care; Emotional well-being support; Fertility & family planning benefits; Generous PTO; Birthday off; Paid parental leave; Year-end holiday closure; 401K with company match; Support for education, courses, and certifications; Ongoing career growth opportunities; Recognition programs; Volunteer and give-back opportunities; Eligibility for annual incentive performance bonus plan