Sales Data Quality Analyst II

2 Months ago • 3-5 Years
Data Analysis

Job Description

Motive is seeking a Data Quality Analyst II to join their Deduplication Team. This role involves leading data management initiatives, creating automation and predictive models for vast datasets, and driving business results through improved data quality. The analyst will architect and implement AI-driven deduplication pipelines, develop predictive models, lead cross-functional projects with Sales, Marketing, Engineering, and Operations, and analyze business impact to optimize workflows. Responsibilities also include serving as an escalation point for complex data issues and mentoring team members. The goal is to ensure the data ecosystem is scalable and a primary driver of corporate revenue goals.
Good To Have:
  • Experience with LLMs or generative AI
  • Familiarity with Git, CI/CD
  • CS background preferred
Must Have:
  • 3-5 years in data quality, analytics, or engineering
  • Strong business acumen and analytical skills
  • Ability to explain complex data issues
  • Expertise in Excel, SQL, Python, and AI/ML
  • Proven experience scaling automated solutions
  • Strong leadership and project management skills
  • Exceptional communication and training abilities
  • Demonstrated impact on business outcomes

Add these skills to join the top 1% applicants for this job

cross-functional
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python
sql

Who we are:

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 more than 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.

About the Role:

The Deduplication Team is the critical engine powering our Data Quality and Account Growth initiatives, and we are looking for a technical and strategic leader to elevate its impact. In this high-visibility role, you will leverage deep technical expertise and sharp business acumen to transform our approach to data management. You will take ownership of many aspects of the deduplication strategy and roadmap, spearheading the creation of advanced automation and predictive models to master our vast datasets. This is more than a technical challenge; it's a unique opportunity to drive significant business results by partnering directly with stakeholders from Sales, Marketing, Operations, and Engineering. Your work will ensure our data ecosystem is not only scalable but is a primary driver of our corporate revenue goals.

What You’ll Do: 

  • Architect and implement automated, AI-driven deduplication pipelines across all business segments.
  • Develop predictive models for duplicate detection and prevention.
  • Lead cross-functional projects with Sales, Marketing, Engineering, and Operations to align deduplication with business strategy.
  • Oversee documentation, enablement, and training for deduplication processes.
  • Analyze business impact and continuously optimize deduplication logic and workflows.
  • Serve as the escalation point for complex deduplication and data quality issues.
  • Mentor and develop team members; foster a culture of innovation and continuous improvement.

What We’re Looking For: 

  • 3–5 years in data quality, data analytics, or data engineering roles.
  • High level of business acumen.
  • Strong problem-solving and analytical mindset.
  • Ability to explain complex data issues to non-technical stakeholders.
  • Deep understanding of business analytics and sales enablement.
  • Proven experience designing and scaling automated solutions.
  • Strong leadership, project management, and cross-functional collaboration skills.
  • Exceptional communication and training abilities.
  • Demonstrated impact on business outcomes through data quality initiatives.
  • Experience with LLMs or generative AI in a data QA context is a plus.
  • Familiarity with Git, CI/CD, and version-controlled data quality pipelines.
  • Expert in Excel, SQL, Python, and AI/ML for data quality management.
  • Candidates with CS background are preferred for this position.

Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. 

Please review our Candidate Privacy Notice here .

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology. 

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