Data Analyst, GTM Analytics
Maven
USA (Remote)
$99K/yr - $229K/yrIn-houseFull-timeSenior level5+ years exp.
9 days ago
GTM Data Analyst
Oklahoma City, OK (On-site)
Salary Not AvailableFull time
Posted 2 months ago
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Job Description
Description
The GTM Data Analyst is responsible for maintaining and optimizing critical sales and partner data structures that power SMB go-to-market operations. This role ensures the integrity, accuracy, and usability of hierarchy data across Snowflake and Salesforce, enabling reliable reporting, efficient sales execution, and data-driven decision-making.
Key Responsibilities
Data Management & Orchestration
Required
The GTM Data Analyst is responsible for maintaining and optimizing critical sales and partner data structures that power SMB go-to-market operations. This role ensures the integrity, accuracy, and usability of hierarchy data across Snowflake and Salesforce, enabling reliable reporting, efficient sales execution, and data-driven decision-making.
Key Responsibilities
Data Management & Orchestration
- Maintain and manage SMB sales and partner hierarchy tables within Snowflake, ensuring accuracy, completeness, and alignment to business structures
- Translate and synchronize hierarchy data into Salesforce, supporting account, partner, and sales reporting frameworks
- Monitor and validate data flows between Snowflake and Salesforce, proactively identifying and resolving discrepancies
- Support ongoing data hygiene efforts, including deduplication, normalization, and data quality enforcement
- Serve as a subject matter resource for Salesforce hierarchy structures (Accounts, Partners, Territories, etc.)
- Ensure Salesforce reflects the most up-to-date and accurate hierarchy data to support routing, segmentation, and reporting
- Partner with Sales Operations, Partner Operations, and GTM Technology teams to implement hierarchy updates and enhancements
- Develop and maintain dashboards and reports in Salesforce to support SMB sales and partner leadership
- Translate business requirements into scalable reporting solutions that provide actionable insights
- Analyze data trends and provide recommendations to improve sales and partner performance
- Support ad hoc reporting and data analysis requests across SMB stakeholders
- Establish and monitor processes that ensure data accuracy, consistency, and governance across systems
- Perform QA checks, anomaly detection, and ongoing validation of hierarchy and reporting data
- Document processes, data definitions, and hierarchy logic for transparency and scalability
- Collaborate cross-functionally with Sales Ops, Marketing Ops, BI, and Data Engineering teams
- Support enhancements to data models, reporting frameworks, and automation processes
- Contribute to broader data orchestration initiatives and tooling improvements as needed
Required
- 2–5+ years of experience in Sales Operations, Revenue Operations, Data Analytics, or similar role
- Working knowledge of Salesforce (data model, reporting, dashboards)
- Working knowledge of Snowflake (data querying, table structures, data validation)
- Strong SQL skills for data extraction and analysis
- Experience building reports and dashboards for business stakeholders
- Strong attention to detail and commitment to data accuracy
- Experience with sales or partner hierarchy management
- Familiarity with data orchestration, ETL/ELT processes, or data pipelines
- Experience with BI tools (e.g., Power BI, Tableau)
- Understanding of SMB sales or partner go-to-market models
- Analytical thinking and problem-solving
- Data quality and governance mindset
- Ability to translate technical data into business insights
- Strong communication and stakeholder management skills
- Accuracy and reliability of SMB sales and partner hierarchy data
- Adoption and effectiveness of Salesforce dashboards and reports
- Reduction in data discrepancies between Snowflake and Salesforce
- Improved visibility and decision-making for sales and partner leaders
- Execute ad hoc data requests and analysis to support evolving SMB GTM needs
- Support ongoing enhancement of data orchestration frameworks and processes
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