Convene Hospitality Group Logo

Convene Hospitality Group

Analytics Engineer

Posted 19 Days Ago
In-Office or Remote
13 Locations
120K-160K Annually
Mid level
In-Office or Remote
13 Locations
120K-160K Annually
Mid level
Build and maintain the full analytics data lifecycle, including Fivetran ingestion, dbt modeling, Snowflake data warehousing, semantic layers, ThoughtSpot visualizations, governance, testing, and observability. Partner with business teams to create trusted metrics and self-service data products. Maintain conversational analytics regression tests, enforce data access controls, optimize performance and costs, and use AI agents for data engineering tasks under established review standards.
The summary above was generated by AI

Convene Hospitality Group (CHG) operates a global portfolio of lifestyle brands focused on creating places and experiences that bring people together. The company designs, develops, and operates hospitality-driven destinations to host gatherings of all kinds, ranging from small corporate meetings to immersive brand activations and beyond. We love bringing people together in person, and that passion for great experiences extends to our employees as well. If you're interested in creating inspiring moments of connection, consider joining our team.

Analytics Engineer

We’re hiring Analytics Engineers to join Convene Hospitality Group’s (CHG) Technology organization. We’re building out the foundational platform to democratize data at CHG so that a venue GM, a finance lead, and an AI agent are all able to 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 bring data in from source systems, model it through bronze, silver, and gold, define the semantic layer, and breathe life into the visualizations, conversational analytics, and business agents that teams rely on to make decisions. 

You’ll join the Data Platform team, reporting to its Engineering Manager, and work closely with other analytics engineers and business partners across the company. You’ll build on Snowflake, dbt, and Fivetran, using Snowflake-native capabilities like semantic views and Cortex to power ThoughtSpot and beyond.

What You’ll Do:

  • Partner with the business. Work with Finance, Sales, Operations, and venue teams to understand their needs and turn them into models and metrics they trust.
  • Own ingestion for your domains. Set up and maintain Fivetran connectors, land data in bronze, and handle schema drift and load failures.
  • Model the business. Build dbt models that move data through bronze, silver, and gold, and shape gold around how CHG runs so people outside the data team can understand and use it.
  • Own the semantic layer. Set metrics, dimensions, and relationships so a number means the same thing in a dashboard, a search, or an agent’s answer. Tune synonyms and descriptions so a model picks the right measure, trace wrong answers to the root cause, and help us decide where each definition lives.
  • Power self-service in ThoughtSpot. Build the models and Liveboards that let teams explore data on their own, and turn the questions people actually ask into new test cases.
  • Own the quality of conversational analytics. Test answers the way you’d test code. Build and maintain a golden question set of real business questions paired with certified answers as your test cases, run them as a regression suite on every model or semantic change, and block releases that fail. Back your models with dbt tests and clear documentation.
  • Apply governance day to day. Tag sensitive data at ingestion, apply access controls such as tag-based masking and row access policies, and follow the standards the team sets, so an agent only returns what the person asking is allowed to see.
  • Keep it fast and fresh. Monitor freshness, data quality, and pipeline health so problems surface to you before they reach a dashboard or an agent’s answer. Tune query and model performance, from incremental dbt models to warehouse sizing, so answers come back fast and Snowflake costs stay in check.
  • Work AI-native. Lead with specs, then hand agents end-to-end tasks, from exploring source data to building models, tests, and documentation. Let agents run loose in the wild (with some guardrails in place). You hold agent and human work to the same review bar, so code from Claude and code from a teammate get the same scrutiny. Share what you learn, and help set the playbook for agentic data work.

What We Look For:

  • You have 3+ years in analytics engineering, data engineering, or BI development, building data products people rely on.
  • You write strong SQL and have built and maintained dbt models in production.
  • You’ve worked in a cloud data warehouse, ideally Snowflake.
  • You’ve worked with ELT ingestion tools like Fivetran and can troubleshoot source-data issues such as schema changes, late-arriving data, and API limits.
  • You understand data modeling: dimensional models, medallion layering, and clear reasoning about grain, slowly changing dimensions, and event lifecycles.
  • You’ve built dashboards or self-service data products that people use to make decisions.
  • You test and document your work as a habit.
  • You’re curious about the business. You ask what decision a request supports before you start building.
  • You use AI agents for real multi-step work, like writing SQL and dbt models, generating tests, and drafting documentation, and you verify what they produce.
  • You explain your work clearly to technical and non-technical partners.
  • You take ownership. You see work through, ask for help when you’re stuck, and look for ways to make things better.

Bonus Points

  • You’ve evaluated LLM or natural-language analytics output, for example with golden sets or regression testing.
  • You’ve worked in hospitality, events, real estate, or another customer-centric, multi-location business.

Compensation:

The above job definition information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Job duties and responsibilities are subject to change based on changing business needs and conditions.

Salary Min: $120,000  Salary Max: $160,000 

This role is also eligible for Convene's annual incentive performance bonus plan.

This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.

We’re Here For You:

At Convene Hospitality Group, we want you to feel supported in every part of your life. Here’s what you can expect:

  • Health & Wellness: Day-one health coverage for you and your family, 24/7 virtual care, emotional well-being support, and fertility & family planning benefits. Because your well-being matters, inside and outside of work.
  • Time Off & Balance: Generous PTO, your birthday off (because, of course!), paid parental leave, and a year-end holiday closure to recharge.
  • Financial Growth: 401K with company match and support for education, courses, and certifications. We invest in you so you can grow personally and professionally.
  • Development & Recognition: Ongoing career growth opportunities plus recognition programs to celebrate milestones.
  • Community & Impact: Volunteer and give-back opportunities, and the chance to make a real impact in the work you do.

At Convene Hospitality Group, we believe great teams are built by bringing together people with different backgrounds, perspectives, and experiences. Our values of GRIT (Genuine, Relentless, Integrity, and Teamwork) shape how we show up for each other every day. We want everyone here to feel welcome, supported, and free to be themselves. If you’re excited to grow, learn, and make an impact, we’d love to have you on the team.

Convene Hospitality Group is proud to be an equal opportunity employer. We welcome applicants of all backgrounds, experiences, and perspectives.


#LI-DK1


HQ

Convene Hospitality Group New York, New York, USA Office

Convene operates 12 different properties in New York City.

Similar Jobs

3 Hours Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
125K-234K Annually
Senior level
125K-234K Annually
Senior level
Fintech • Mobile • Software • Financial Services
Build and maintain production data pipelines, dbt models, Airflow workflows, and governed datasets supporting People Analytics. Integrate Workday and other HR systems into reliable Snowflake data products, implement data quality monitoring, row-level security, semantic models, and AI agents. Partner with engineers, analysts, data scientists, and business stakeholders to deliver trusted data solutions, communicate technical trade-offs, enforce governance, and mentor other engineers.
Top Skills: Ai AgentsAmazon RedshiftApache AirflowCi/CdDbtEtl/EltGitlabGoogle Cloud PlatformLlmsPythonSnowflakeSQLWorkday
26 Days Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
110K-120K Annually
Junior
110K-120K Annually
Junior
Fintech • Real Estate • Software • Financial Services • PropTech
Own Hometap’s product and marketing event-data ecosystem, including taxonomy, tracking plans, governance, Segment Protocols, schema validation, and source management. Partner with marketing, product, and engineering to define instrumentation and event specifications. Build monitoring for schema conformance, event volume, and property completeness, while documenting standards and managing event review and deprecation processes.
Top Skills: AmplitudeCi/CdCloud Data WarehousesGitGoogle Analytics 4JavaScriptJson SchemaMixpanelPosthogSegmentSegment ProtocolsSQL
5 Days Ago
Remote
United States
70K-100K Annually
Mid level
70K-100K Annually
Mid level
Insurance
Build and maintain SQL and dbt data models, tables, views, dictionaries, and self-service tools on BigQuery. Support Accounting, Actuarial, and Claims stakeholders from request through production, monitor data quality, prevent defects, document processes, and review AI-generated code. The role requires hands-on data development, collaboration across projects, and growing ownership of a data domain and stakeholder relationships.
Top Skills: BigQueryClaude CodeDbtJavaScriptPythonSQL

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account