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Analytics Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

đź’µ $120k - $160k / year

⏰ Full Time

🟡 Mid-level

đźź  Senior

📊 Analytics Engineer

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Logo of Convene

Convene

501 - 1000 employees

đź’Ľ Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Convene creates dynamic work experiences through a network of 25+ premium meeting, event, and office locations and digital meeting technology. Founded in 2009, it focuses on enhancing professional meetings by providing a combination of beautiful designs, advanced technology, and a strong emphasis on hospitality. The company has expanded its offerings to include flexible workplace locations, virtual meetings, and hybrid meetings, catering to the needs of planners and business professionals.

đź“‹ Description

• Partner with Finance, Sales, Operations, and venue teams to understand needs and create trusted models and metrics • Set up and maintain Fivetran connectors, land data in bronze, and handle schema drift and load failures • Build dbt models through bronze, silver, and gold layers • Define and maintain the semantic layer, including metrics, dimensions, relationships, synonyms, and descriptions • Build ThoughtSpot models and Liveboards for self-service analytics • Test conversational analytics using golden question sets and regression suites • Support data governance through sensitive-data tagging, tag-based masking, and row access policies • Monitor data freshness, quality, and pipeline health • Optimize query and model performance, warehouse sizing, and Snowflake costs • Use AI agents for end-to-end data tasks while applying review and quality standards • Collaborate with analytics engineers, business partners, and the Data Platform team

🎯 Requirements

• 3+ years in analytics engineering, data engineering, or BI development • Strong SQL skills • Experience building and maintaining dbt models in production • Experience with a cloud data warehouse, ideally Snowflake • Experience with ELT ingestion tools such as Fivetran • Ability to troubleshoot schema changes, late-arriving data, and API limits • Understanding of dimensional models, medallion layering, grain, slowly changing dimensions, and event lifecycles • Experience building dashboards or self-service data products • Habit of testing and documenting work • Experience using AI agents for multi-step work such as writing SQL and dbt models, generating tests, and drafting documentation • Ability to explain work clearly to technical and non-technical partners

🏖️ Benefits

• Day-one health coverage for you and your family • 24/7 virtual care • Emotional well-being support • Fertility and 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

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