Motive - Senior Analytics Engineer - GTM
Requirements
• 7+ years experience in data engineering, data analytics, or analytics engineering • Deep expertise in data modeling and data warehouse design • Expert level SQL skills and experience with columnar analytics databases such as Snowflake and Bigquery • Expert level knowledge of Salesforce’s data model and other GTM systems • Experience with DBT and GIT • Experience with business intelligence tools - Direct Hex experience is a bonus • Experience working with sales, sales operations, sales compensation, and finance teams • Experience building with AI tooling for data such as semantic models, context management systems, and evals • A meticulous attention to detail • Self-starter with the ability to self-project manage work • Exceptional written and verbal communication skills. You are comfortable speaking with business executives and engineers alike and can translate between the two groups at the IC and senior stakeholder level • Pay Transparency • Pay Transparency • Your compensation may be based on several factors, including education, work experience, and certifications. For certain roles, total compensation may include restricted stock units. Motive offers benefits including health, pharmacy, optical and dental care benefits, paid time off, sick time off, short term and long term disability coverage, life insurance as well as 401k contribution (all benefits are subject to eligibility requirements). Learn more about our benefits by visiting Motive Perks & Benefits.
Responsibilities
• Drive the GTM data roadmap to build scalable durable data products • Build and maintain key data pipelines and marts that power core company-wide GTM metrics such as our headcount model, quota attainment, and pipeline. • Build insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company • Collaborate with our GTM analyst teams to train and enable them on datasets and data tools • Write excellent documentation and tutorials • Work across the full-stack of analytics from ad-hoc analysis and reports to architecting pipelines • Build semantic models and run evals to power AI tools that let sales operators query business data in natural language • Use AI-assisted development tools to move fast while keeping code, models, and documentation clean and maintainable for both humans and machines • Communicate complex data concepts clearly and persuasively through technical specs, dashboards, and presentations to align teams on metrics and definitions
Benefits
• $156,000—$205,000 CAD
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