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Convene

Leases premium flexible workspaces and venues

Analytics Engineer

Data Engineering +1Confirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • Have 3 or more years of experience in analytics engineering, data engineering, or business intelligence development, building data products people rely on.
  • Write strong SQL and have built and maintained dbt models in production.
  • Have worked in a cloud data warehouse; Snowflake is preferred.
  • Have worked with ELT ingestion tools such as Fivetran and be able to troubleshoot source-data issues such as schema changes, late-arriving data, and API limits.
  • Understand data modeling, including dimensional models, medallion layering, and reasoning about grain, slowly changing dimensions, and event lifecycles.
  • Have built dashboards or self-service data products used for decision-making.
  • Test and document work as a regular practice.
  • Ask what business decision a request supports before building.
  • Use AI agents for multi-step work such as writing SQL and dbt models, generating tests, and drafting documentation, and verify their output.
  • Explain work clearly to technical and non-technical partners.
  • Take ownership of work through completion, seek help when stuck, and look for improvements.

Responsibilities

  • Work with Finance, Sales, Operations, and venue teams to understand needs and turn them into trusted models and metrics.
  • Set up and maintain Fivetran connectors, land data in bronze, and handle schema drift and load failures.
  • Build dbt models that move data through bronze, silver, and gold, shaping gold around how the company operates so people outside the data team can understand and use it.
  • Own the semantic layer by setting metrics, dimensions, and relationships so measures are consistent across dashboards, search, and agent answers; tune synonyms and descriptions, trace incorrect answers to their root cause, and help determine where definitions belong.
  • Build ThoughtSpot models and Liveboards for self-service data exploration, and convert actual user questions into new test cases.
  • Test conversational analytics using a golden set of real business questions and certified answers; run regression tests for model or semantic changes, block releases that fail, and support models with dbt tests and documentation.
  • Tag sensitive data at ingestion, apply access controls such as tag-based masking and row access policies, and follow team standards so agents return only data users are permitted to see.
  • Monitor freshness, data quality, and pipeline health; tune query and model performance, including incremental dbt models and warehouse sizing, to keep responses fast and costs controlled.
  • Lead with specifications and delegate end-to-end tasks to AI agents, from source-data exploration through models, tests, and documentation; review agent and human work to the same standard and share learnings to help establish practices for agentic data work.

Desired Qualifications

  • Experience evaluating large language model or natural-language analytics output, for example using golden sets or regression testing.
  • Experience in hospitality, events, real estate, or another customer-centric, multi-location business.

About the Company

Convene

Leases premium flexible workspaces and venues

Convene provides premium flexible offices, meeting rooms, and event venues for corporate clients. It partners with landlords to design, build, and manage Class A office spaces without owning the buildings, enabling a capital-efficient business. Revenue comes from leasing spaces, renting meeting rooms and venues, and offering services like catering and technology support. It differentiates itself through premium design—curated furniture, art, and seasonal menus—as well as the convenience of turnkey spaces and services. The goal is to expand a network of high-quality, flexible workspaces and event venues for enterprises, balancing strong service offerings with scalable landlord partnerships.

Company size
501-1,000
Company stage
Series D
Total funding
$265.5M
Headquarters
New York City, New York
Founded
2009

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