Analytics Engineer jobs in United States
Explore 153 matching jobs.
Senior Analytics Engineer – GTM
Motive
Posted: 10/19/2026BigQuerySQL
Data and Analytics Engineer
Collectiv
Posted: 10/18/2026AzureETLSparkSQL
Finance Data & Analytics Developer Intern
Health Care Service Corporation
Posted: 10/17/2026SQL
Business Analytics Engineer, Customer Insights
Rad AI
Posted: 10/16/2026PythonSQL
ETL Developer, SSIS
Matrix Global
Posted: 10/16/2026ETLSQLSSIS
Manager I, Analytics Engineering
inroads
Posted: 10/16/2026Amazon RedshiftBigQueryCloudPythonSQL
Senior Analytics Engineer
Plaid
Posted: 10/16/2026Amazon RedshiftBigQueryCloudPythonSQL
Analytics Engineer, Semantic Layer
Cloaked
Posted: 10/16/2026AWSBigQueryCloudSQL
ETL Developer, Python – CONTRACT, ON-SITE
Broadridge
Posted: 10/16/2026AWSETLJenkinsPythonSQL.NET
Digital Analytics Engineer
Hometap
Posted: 10/16/2026CloudJavaScriptSQL
Senior Analytics Engineer, Tableau
Brightree
Posted: 10/16/2026CloudPythonSQLTableau
Senior Analytics Engineer, Tableau
ResMed
Posted: 10/16/2026CloudPythonSQLTableau
Senior Product Analytics Engineer
Horizon3.ai
Posted: 10/16/2026AWSAzureGoogle Cloud PlatformSQLTableau
Business Intelligence Analyst, Data Engineer
GEICO
Posted: 10/15/2026ApacheSQL
Analytics Engineer
ELYON International
Posted: 10/15/2026AWSAzureCloudETLPythonSQLTableau
Analytics Engineer
Reddit, Inc.
Posted: 10/14/2026AirflowETLPythonScalaSparkSQL
Analytics Engineer
Alliance Health
Posted: 10/14/2026CloudPostgresPythonSQL
Senior Software Engineer II, Ads Data Solutions Engineering
Instacart
Posted: 10/14/2026AirflowAWSGRPCPythonRubySparkSQLGo
Senior AI Data & Analytics Engineer
Samsara
Posted: 10/14/2026BigQueryETLPythonSQL
Senior AI Data & Analytics Engineer
Samsara
Posted: 10/14/2026BigQueryETLPythonSQL
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 and familiar with AI tooling for data, ensuring accurate metrics and effective communication across technical and business teams.
Highest-signal resume keywords
Data EngineeringData ModelingSQL ExpertiseSalesforce Data Model KnowledgeBusiness Intelligence Tools Experience
Tech Stack
Tools & technologiesBigQuerySQL
About the role
Key responsibilities & impact- Drive the GTM data roadmap to build scalable, durable data products
- Build and maintain key data pipelines and marts powering company-wide GTM metrics, including headcount modeling, quota attainment, and pipeline
- Build insightful and reliable dashboards to track core metric performance and deliver company-wide insights
- Collaborate with GTM analyst teams to train and enable them on datasets and data tools
- Write documentation and tutorials
- Perform work across the full analytics stack, from ad hoc analysis and reports to pipeline architecture
- Build semantic models and run evaluations to power AI tools that allow sales operators to 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 team of analytics engineers and data engineers
- Ensure accurate data and a single source of truth for GTM and growth metrics
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; 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
- Meticulous attention to detail
- Ability to self-project manage work
- Exceptional written and verbal communication skills
- Comfort speaking with business executives and engineers and translating between the two groups at IC and senior stakeholder level
- Applicant must be authorized to receive and access commodities and technologies controlled under U.S. Export Administration Regulations
Benefits
Comp & perks- Health benefits
- Pharmacy benefits
- Optical benefits
- Dental care benefits
- Paid time off
- Sick time off
- Short-term disability coverage
- Long-term disability coverage
- Life insurance
- 401(k) contribution
- Restricted stock units may be included in total compensation for certain roles
- Some interviews or new-hire training sessions may be held in person at one of Motive's global offices
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 ToolingColumnar Analytics DatabasesSemantic ModelsPipeline ArchitectureDocumentation Writing
Soft Skills
Attention to DetailSelf-Project ManagementWritten CommunicationVerbal CommunicationStakeholder Engagement
Tools & Technologies
SnowflakeBigQueryDbtGitHex
Industry Keywords
GTM MetricsSales OperationsSales CompensationFinance TeamsU.S. Export Administration Regulations
