Senior Data Analyst, Business Operations

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of all internal data at Nectir, encompassing sales, marketing, customer success, finance, operations, and engineering activities.

• Develop and maintain a bidirectional integration between HubSpot and BigQuery.

• Create data pipelines from Gong, LinkedIn, GCP, Azure billing, and engineering activities.

• Utilize Airbyte where applicable and construct custom pipelines using REST APIs and direct database connections as necessary.

• Model data using dbt.

• Supervise pipelines, set up alert systems, carry out backfills and deduplication, and manage schema drift.

• Define the structures for sales and marketing data, including accounts, contacts, segmentation, attribution, activities, and product usage.

• Establish field-level definitions and data-capture standards for professor-led and instructional designer-led purchasing processes.

• Ensure data quality through scheduled automated checks.

• Reconcile data before publication.

• Collaborate with sales, marketing, and customer success teams to identify questions and prioritize valuable requests.

• Provide consistent insights through internal dashboards.

• Create customer health scoring metrics.

• Model sales forecasts and customer segments.

• Monitor cloud, inference, and vendor expenses per customer to calculate margins.

• Report directly to the Director of Analytics and work alongside sales, marketing, customer success, finance, and operations teams.

• Achieve milestones such as production syncing between HubSpot and BigQuery, documented data models, Gong pipeline, automated quality checks, dashboards, customer health scoring, and visibility into customer margins.

⛳️ Requirements

• Experience in building, deploying, and managing production data pipelines from REST APIs, databases, and third-party SaaS applications.

• Proficient in production Python: version control, testing, scheduling, and deployment.

• Strong understanding of engineering fundamentals, including Git, CI/CD, cron, and deploying code to production environments.

• Daily utilization of AI coding tools.

• Proven experience collaborating with non-technical stakeholders to define and deliver analytical projects.

• Self-motivated and capable of prioritizing tasks independently as the sole data representative on the business side.

• Excellent written communication skills in a remote, asynchronous team setting.

• No formal degree required.

• Preferable experience with BigQuery or similar cloud data warehouses like Snowflake, Redshift, or Databricks.

• Nice-to-have familiarity with dbt or similar transformation frameworks such as SQLMesh or Dataform.

• Nice-to-have experience with Airbyte or comparable integration tools like Fivetran or Meltano.

• Nice-to-have knowledge of orchestration tools like Airflow, Dagster, or similar.

• Nice-to-have experience in data modeling within HubSpot or Salesforce.

• Nice-to-have experience with forecasting, segmentation, clustering, or churn modeling.

• Nice-to-have familiarity with cloud cost analysis.

• Nice-to-have background in edtech, higher education, or teaching.

• Interest in advancing skills in machine learning, statistics, and advanced analytics, or existing experience in ML and data science.

• A systems-thinking approach focused on sustainable solutions.

• Significant overlap with US business hours is preferred.

🏝️ Benefits

• Comprehensive health insurance, including medical, dental, and vision (available for US-based positions only).

• 401k plan with employer matching (available for US-based positions only).

• Unlimited paid time off.

• Equity in the form of stock options.

• Flexible, remote-first working environment.

• Competitive salary.