[Hiring] Senior Data Analyst @Nectir

Role Description

We know a lot about how students use Nectir. We know much less about our own business: which campaigns influence a deal, how long deals take to close, which institutions are at risk of churning, and what each customer costs us to serve. This role exists to fix that.

You'll own all of Nectir's internal-facing data, from source system to dashboard. That covers sales, marketing, customer success, finance, operations, and engineering activity. You'll build and run the pipelines, keep the data trustworthy, and get it in front of the teams who need it. For the first six months the priority is sales and marketing.

The foundation is in place. Our BigQuery warehouse and dbt project are in production, we use Airbyte for integrations where it fits, and our internal dashboards are a custom Python application rather than an off-the-shelf BI tool. You'll extend that stack, not design it from scratch.

You'll report to the Director of Analytics and work day to day with sales, marketing, customer success, finance, and operations.

What you'll do

• Build and operate the pipelines
• Build and own a bidirectional HubSpot ↔ BigQuery integration so the CRM and the warehouse agree.
• Build pipelines from the rest of the stack: Gong, LinkedIn, GCP and Azure billing, and engineering activity.
• Use Airbyte where it works and write custom pipelines against REST APIs and direct database connections where it doesn't.
• Model the results in dbt.
• Operate them: monitoring, alerting, backfills, deduplication, and schema drift.
• Jobs run on GitHub Actions against incremental dbt models.
• Own data quality and the data model
• Define how sales and marketing data is structured: accounts and contacts, segmentation, attribution, activity, and product usage.
• Enforce it with automated checks that run on a schedule.
• Reconcile before you publish.
• Work with the teams and deliver the data
• Work with sales, marketing, and customer success to turn requests into defined questions.
• Land recurring answers in our internal dashboards so teams pull their own numbers.
• Once the foundation is solid, build customer health scoring that customer success works from.
• Model sales forecasts and customer segments once the underlying data supports it.
• Track cloud, inference, and vendor spend per customer.

Qualifications

• Built, deployed, and operated production data pipelines from REST APIs, databases, and third-party SaaS tools.
• Production Python: version-controlled, tested, scheduled, deployed.
• Engineering fundamentals: Git, CI/CD, cron, and deploying your own code to production.
• Daily use of AI coding tools.
• Experience working directly with non-technical stakeholders to scope and deliver analysis.
• Self-directed. You'll be the only business-side data person and will prioritize your own work.
• Strong written communication on a remote, async team.

Requirements

• BigQuery or a comparable cloud warehouse (Snowflake, Redshift, Databricks).
• dbt or a comparable transformation framework (SQLMesh, Dataform).
• Airbyte or comparable integration tooling (Fivetran, Meltano).
• Airflow, Dagster, or comparable orchestration.
• HubSpot or Salesforce data modeling.
• Forecasting, segmentation, clustering, or churn modeling.
• Cloud cost analysis.
• Edtech, higher education, or teaching background.
• Interest in growing toward machine learning, statistics, and advanced analysis.
• A systems-thinking approach: you care how the pieces fit together and build things meant to last.
• No degree requirements. What you know and can do matters more than where you learned it.

Success metrics

• 90 days: HubSpot ↔ BigQuery syncing both directions in production. Sales and marketing data model documented with field-level definitions.
• 6 months: Gong pipeline live. Automated data quality checks running on a schedule. Sales and marketing dashboards in production. Customer health scoring live.
• 9 months: Margin per customer visible.

Benefits

• Competitive pay
• Comprehensive health coverage: medical, dental, and vision (for US-based roles only)
• 401k with employer match (for US-based roles only)
• Unlimited PTO
• Equity (stock options)
• Flexible, remote-first work environment