Analytics Engineer

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

Role overview

Build the data foundation that helps business teams and AI-powered tools get consistent, trusted answers. This analytics engineering role spans the full data path—from ingestion and transformation to metrics, access controls, monitoring, and self-service analytics—and partners closely with teams across finance, sales, operations, and venue management.

Responsibilities

• Configure and maintain data connectors, load source data, and resolve schema changes, failed loads, and other ingestion issues.
• Build and document dbt transformations through bronze, silver, and gold layers, shaping curated data around how the business operates.
• Define shared metrics, dimensions, and relationships so dashboards, search, and conversational tools use consistent definitions.
• Create self-service data models and dashboards, and turn real business questions into tests for analytics quality.
• Maintain a set of representative questions and approved answers; run regression checks when models or semantic definitions change.
• Apply data tags and access policies, monitor freshness and quality, and tune pipelines, queries, and warehouse usage.

Requirements

• At least 3 years in analytics engineering, data engineering, or BI development, delivering data products used for decisions.
• Strong SQL skills and production experience building and maintaining dbt models.
• Experience with a cloud data warehouse; Snowflake experience is preferred.
• Familiarity with ELT ingestion tools such as Fivetran and troubleshooting source issues like schema drift, delayed data, or API limits.
• Understanding of data quality, documentation, governance, and access controls.
• Ability to work with business partners, clarify needs, and use AI agents for scoped data work while reviewing results to the same standard as human work.

Nice to have

• Experience testing large language model or natural-language analytics answers with golden question sets or regression suites.
• Background in hospitality, events, real estate, or another customer-facing business with multiple locations.

Benefits and work setup

• Listed salary range: $120,000-$160,000, with eligibility for an annual performance bonus. Pay may vary by location and experience.
• Health coverage, wellness and family planning support, paid parental leave, paid time off, and a year-end holiday closure.
• Retirement plan with employer match, education and certification support, career development, recognition programs, and volunteer opportunities.