Senior Data Analyst, Business Operations

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

⚙️ Business Operations

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nectir

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

📚 Education

🤖 Artificial Intelligence

☁️ SaaS

Education • Artificial Intelligence • SaaS

Nectir is an education technology company that provides FERPA-compliant, LMS-integrated AI assistants and synchronous chat tools for schools and higher-education institutions. Its product (Nectir AI) turns course materials and institutional content into customizable, campus-specific AI Assistants that deliver 24/7 personalized student support, automated feedback for instructors, built-in analytics, and private endpoints to protect student data. Nectir is focused on enabling safe, scalable AI across campuses by integrating directly into learning management systems and offering controls and monitoring for administrators.

📋 Description

• Own all of Nectir's internal-facing data across sales, marketing, customer success, finance, operations, and engineering activity • Build and operate a bidirectional HubSpot ↔ BigQuery integration • Build pipelines from Gong, LinkedIn, GCP and Azure billing, and engineering activity • Use Airbyte where appropriate and write custom pipelines against REST APIs and direct database connections where needed • Model data in dbt • Monitor pipelines, configure alerting, perform backfills and deduplication, and manage schema drift • Define sales and marketing data structures, including accounts, contacts, segmentation, attribution, activity, and product usage • Establish field-level definitions and data-capture standards for professor-led and instructional-designer-led buying motions • Enforce data quality with scheduled automated checks • Reconcile data before publishing • Work with sales, marketing, and customer success to define questions and prioritize worthwhile requests • Deliver recurring answers through internal dashboards • Build customer health scoring • Model sales forecasts and customer segments • Track cloud, inference, and vendor spend per customer to calculate margin per customer • Report to the Director of Analytics and collaborate with sales, marketing, customer success, finance, and operations • Deliver milestones including production HubSpot ↔ BigQuery syncing, documented data models, Gong pipeline, automated quality checks, dashboards, customer health scoring, and margin-per-customer visibility

🎯 Requirements

• Built, deployed, and operated production data pipelines from REST APIs, databases, and third-party SaaS tools • Production Python: version-controlled, tested, scheduled, and 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; able to prioritize work independently as the only business-side data person • Strong written communication on a remote, async team • No degree requirements • Nice-to-have experience with BigQuery or comparable cloud warehouses such as Snowflake, Redshift, or Databricks • Nice-to-have experience with dbt or comparable transformation frameworks such as SQLMesh or Dataform • Nice-to-have experience with Airbyte or comparable integration tooling such as Fivetran or Meltano • Nice-to-have experience with Airflow, Dagster, or comparable orchestration • Nice-to-have HubSpot or Salesforce data modeling experience • Nice-to-have forecasting, segmentation, clustering, or churn modeling experience • Nice-to-have cloud cost analysis experience • Nice-to-have edtech, higher education, or teaching background • Interest in growing toward machine learning, statistics, and advanced analysis, or existing ML and DS experience • Systems-thinking approach and focus on durable solutions • Meaningful overlap with US business hours

🏖️ Benefits

• 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 • Competitive pay