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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in data engineering and analytics, with a strong focus on data modeling, data warehouse design, and building scalable data products. Proficient in SQL, AI tooling for data, and collaboration with cross-functional teams to deliver insights and metrics.
Highest-signal resume keywords
Data EngineeringData ModelingSQL ExpertiseSalesforce Data Model KnowledgeBusiness Intelligence Tools Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringData AnalyticsData ModelingSQLData Warehouse DesignAI ToolingSemantic ModelsColumnar Analytics DatabasesDbtGit
Soft Skills
Attention to DetailSelf-Project ManagementWritten CommunicationVerbal Communication
Tools & Technologies
SnowflakeBigQuerySalesforceBusiness Intelligence Tools
Industry Keywords
GTM MetricsSales OperationsSales CompensationFinance TeamsU.S. Export Administration Regulations
Tech Stack
Tools & technologiesBigQuerySQL
About the role
Key responsibilities & impact- Drive the GTM data roadmap to build scalable, durable data products
- Build and maintain data pipelines and marts powering company-wide GTM metrics, including headcount, quota attainment, and pipeline
- Build reliable dashboards tracking core metrics and delivering insights company-wide
- Collaborate with GTM analyst teams to train and enable them on datasets and data tools
- Write documentation and tutorials
- Work across the full analytics stack, from ad hoc analysis and reports to pipeline architecture
- Build semantic models and run evaluations for AI tools that let sales operators query business data in natural language
- Use AI-assisted development tools while maintaining clean, maintainable code, models, and documentation
- Communicate complex data concepts through technical specifications, dashboards, and presentations to align teams on metrics and definitions
- Report to the Director of Business Intelligence as part of a centralized global analytics and data engineering team
Requirements
What you’ll need- 7+ years experience in data engineering, data analytics, or analytics engineering
- Deep expertise in data modeling and data warehouse design
- Expert level SQL skills
- 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
- Experience working with sales, sales operations, sales compensation, and finance teams
- Experience building with AI tooling for data, including semantic models, context management systems, and evals
- Meticulous attention to detail
- Ability to self-project manage work
- Exceptional written and verbal communication skills
- Comfortable speaking with business executives and engineers and translating between the two groups at IC and senior stakeholder level
- Must be authorized to receive and access commodities and technologies controlled under U.S. Export Administration Regulations
- Direct Hex experience is a bonus, not a requirement
Benefits
Comp & perks- Equal opportunity employer committed to a diverse and inclusive workplace
- Some interviews or new-hire training sessions may be held in person at one of Motive's global offices