
Senior Data Analyst, Business Operations at Nectir
Secure, FERPA/SOC2 AI learning support for schools, proven outcomes.
Own all internal-facing business data from source systems to dashboards across sales, marketing, customer success, finance, operations, and engineering; first 6 months focused on sales/marketing; extend existing warehouse and analytics stack rather than greenfield; build and operate bidirectional HubSpot↔BigQuery integration plus pipelines for Gong, LinkedIn, GCP/Azure billing, and engineering activity; handle monitoring, alerting, backfills, deduplication, schema drift, and dbt models; define and enforce sales/marketing data model and field definitions, including two buying motions; publish recurring answers via internal dashboards; later build customer health scoring, sales forecasts, customer segments, and per-customer margin/cost tracking; reports to Director of Analytics and is the only business-side data person; must have production pipeline experience from APIs/databases/SaaS tools, production Python, Git/CI-CD/cron/deploying own code, daily AI coding tool usage, and experience scoping analysis with non-technical stakeholders; no degree requirement; bonus: BigQuery or similar warehouse, dbt or similar, Airbyte/Fivetran/Meltano, Airflow/Dagster, HubSpot/Salesforce data modeling, forecasting/segmentation/clustering/churn modeling, cloud cost analysis, edtech/higher-ed background, ML/DS interest or experience; success metrics: 90 days HubSpot↔BigQuery sync live and data model documented, 6 months Gong pipeline + automated DQ checks + dashboards + health scoring live, 9 months margin per customer visible
Remote US only; requires meaningful overlap with US business hours











