Analytics Engineer: Build Trusted Data & Dashboards

convene; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health coverage

Wellness support

Parental leave

Paid time off

Holiday closure

401(k) match

Education support

Career development

Recognition programs

Volunteer opportunities

Job summary

Convene seeks an analytics engineer to build the data foundation that powers trusted, AI-enabled answers across finance, sales, operations, and venue management. The role covers ingestion, transformation, metrics, access controls, monitoring, and self-service analytics.

Responsibilities include configuring data connectors, loading sources, building dbt models in bronze-to-gold layers, defining shared metrics, and creating self-service dashboards that reflect business operations.

Qualifications

• 3+ years in analytics engineering, data engineering, or BI development delivering data products.
• Strong SQL skills and production dbt model experience.
• Experience with a cloud data warehouse; Snowflake preferred.
• Familiar with ELT tools like Fivetran and troubleshooting schema drift.
• Understanding of data quality, governance, and access controls.
• Ability to work with business partners and use AI agents for scoped data work.

Responsibilities

• Configure and maintain data connectors, load source data, and resolve ingestion issues.
• Build and document dbt transformations through bronze, silver, and gold layers.
• Define shared metrics, dimensions, and relationships for dashboards and tools.
• Create self-service data models and dashboards; turn real business questions into tests.
• Maintain representative questions and run regression checks when models or definitions change.
• Apply data tags and access policies, monitor freshness and quality, and tune pipelines.

Skills

SQL proficiency

dbt models

Cloud Data Warehouse

Snowflake

Fivetran

Data governance

Data quality

Stakeholder collaboration

AI-assisted data work

Job description

Convene seeks an analytics engineer to build the data foundation that powers trusted, AI-enabled answers across finance, sales, operations, and venue management. The role covers ingestion, transformation, metrics, access controls, monitoring, and self-service analytics.

Responsibilities include configuring data connectors, loading sources, building dbt models in bronze-to-gold layers, defining shared metrics, and creating self-service dashboards that reflect business operations.