Sales Data Quality Analyst II

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.

The Sales Data Quality Analyst II (L4) is a pivotal member of the GTM Strategy and Sales Operations organization, dedicated to ensuring that Salesforce data remains accurate, comprehensive, and actionable across all sales motions. Serving as the primary subject-matter expert for sales data integrity, this role focuses on account and contact data, segmentation, and global hierarchy management (including the UK and Mexico). The Analyst II will design and maintain sophisticated data quality frameworks, conduct deep-dive analyses using SQL and Salesforce, and convert complex data challenges into clear business insights and remediation strategies that bolster pipeline health, territory planning, and executive decision-making.

As a Sales Data Quality Analyst II, the person in this role is expected to:

• Lead high-impact data quality investigations and diagnostics

• Proactively identify data issues and anomalies across accounts, contacts, and opportunities.

• Use SQL and Salesforce reporting to perform root-cause analysis and quantify business impact.

• Establish and maintain rigorous data quality standards

• Help define what “good” looks like for sales data (e.g., completeness, consistency, and accuracy thresholds).

• Contribute to and maintain data quality scorecards, rules, and documentation.

• Engineer and oversee proactive data monitoring frameworks

• Build, maintain, and iterate on automated checks and recurring reports that monitor data health (e.g., duplicate detection, missing key fields, invalid hierarchies).

• Surface prioritized issue lists and trends to GTM stakeholders.

• Support segmentation and enrichment initiatives

• Partner with regional teams (e.g., UK contact enrichment, Mexico