Senior Analytics Engineer, Commercial

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

📋 Description

• Take ownership of the roadmap for the Commercial Strategy & Analytics function and ensure successful delivery.

• Develop and document tested dbt models for ARR, bookings, and pipeline.

• Create analytical models for upselling, whitespace opportunities, ICP fit, and account scoring.

• Construct semantic layers to facilitate self-service for analysts and business users.

• Design AI-driven tools and automation solutions.

• Establish standards for data architecture, quality assurance, version control, code reviews, CI/CD, and monitoring.

• Manage data governance, including ownership, access, naming conventions, lineage, and change management.

• Maintain up-to-date documentation, including reporting guidelines for core metrics.

• Collaborate with Sales, Marketing, and Finance stakeholders to identify challenges and devise solutions.

• Work alongside the enterprise data team and spoke analytics teams on data modeling projects.

• Anticipate future analytical requirements and make proactive investments in those areas.

• Represent the team in technical planning meetings.

• Assess and suggest enhancements to data tools and infrastructure.

• Foster the development of analysts' dbt and data modeling competencies.

• Cultivate a culture that prioritizes high-quality data and data-driven decision-making.

• Report directly to the Director of Commercial Strategy & Analytics.

⛳️ Requirements

• Minimum of 8 years in data or analytics roles, with at least 3 years in analytics engineering.

• Proven experience in creating analytical models for GTM teams, including account scoring, ICP, propensity, or whitespace analysis.

• In-depth, hands-on experience in data modeling.

• Full ownership of production data models in Snowflake or a comparable enterprise data warehouse.

• Proficient in SQL and competent in Python.

• Familiarity with Fivetran, dbt, and Snowflake.

• Experience in building semantic layers in dbt or Snowflake semantic tables.

• Background in maintaining and enhancing inherited data models and ETL/ELT pipelines.

• Experience with Git, code reviews, CI/CD, and automated testing processes.

• Quick to understand booking definitions, sales motions, and product portfolios.

• Capable of breaking down large projects into manageable tasks while navigating competing priorities.

• Strong communication skills are essential.

• Background checks are required.

• Applicants with arrest or conviction records will be considered in accordance with applicable fair-chance laws.

🏝️ Benefits

• Bonus potential available.

• Competitive and equitable salary based on role responsibilities, relevant skills, experience, certifications, and geographic location.

• Opportunities for career advancement and merit-based pay increases within the role over time.