Sales Data Quality Analyst

Motive; Pakistan; On-site; PKR 19,444,000 - 30,556,000; Full time

Job summary

Motive is seeking a data deduplication engineer to design and refine deduplication logic, using SQL and Python to automate processes and build real-time dashboards with Snowflake and Tableau.

You will collaborate with Engineering and Systems, apply AI/ML tools for detection, and present insights to Sales and Operations; experience with DemandTool and data quality is valued.

Qualifications

• Experience designing and refining deduplication logic for complex data scenarios.
• Proficient in SQL and Python to automate deduplication and reporting.
• Familiar with AI tools for predictive duplicate detection and prevention.
• Ability to build dashboards and provide actionable insights from data.
• Collaborate with Engineering and Systems teams to improve pipelines.

Responsibilities

• Design and refine deduplication logic for complex scenarios (e.g., parent-child, multi-segment).
• Use SQL and Python to automate deduplication and reporting processes.
• Integrate AI tools for predictive duplicate detection and prevention.
• Build and maintain real-time dashboards for deduplication metrics and business impact.
• Collaborate with Engineering and Systems teams to enhance deduplication pipelines.
• Document best practices and lead training sessions for Sales and Operations.
• Provide actionable insights and recommendations to business stakeholders.
• Identify and merge duplicate accounts/contacts by analyzing data scenarios with DemandTool and Python.
• Analyze large datasets of accounts/leads using Snowflake to improve sales performance.
• Create data models (Snowflake) and dashboards (Salesforce & Tableau) to track metrics.
• Apply AI/ML techniques to identify and resolve data quality issues.
• Contribute to monthly business reviews and ad hoc analyses.
• Publish process documentation on Seismic and Confluence.
• Handle ad-hoc projects requested by stakeholders.

Skills

SQL

Python

Data analysis

Problem solving

Collaboration

Tools

Snowflake

Tableau

Salesforce

Seismic

Confluence

Glean

Gemini

Google AI Studio

Perplexity

DemandTool

Job description

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.

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 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.

What You’ll Do

• Design and refine deduplication logic for complex scenarios (e.g., parent-child, multi-segment).


• Use SQL and Python to automate deduplication and reporting processes.


• Integrate AI tools (Gemini, Google AI Studio, Perplexity, Glean) for predictive duplicate detection and prevention.


• Build and maintain real-time dashboards for deduplication metrics and business impact.


• Collaborate with Engineering and Systems teams to enhance deduplication pipelines.


• Document best practices and lead training sessions for Sales and Operations.


• Provide actionable insights and recommendations to business stakeholders.


• Identify and merge duplicate accounts/contacts by analyzing multiple data scenarios through DemandTool and Python script.


• Analyze large datasets of accounts/contacts/leads leveraging Snowflake to develop insights and recommendations for improving sales performance by highlighting the gaps in the data for deduplication.


• Create and maintain data models (using Snowflake) and dashboards (Salesforce & Tableau) to track key metrics and provide actionable insights for deduplication.


• Apply AI/ML techniques to search web information, identify, classify, and resolve data issues (e.g., outliers, missing data, duplicates).


• Help drive analytical reporting, including monthly business reviews, deep dives, and ad hoc analysis requests.


• Publish process documentation on platforms such as Seismic and Confluence.


• Work on ad-hoc projects as requested by stakeholders.


• Deal with different sorts of accounts including Franchise, partner, and contractor accounts for deduplication needs.


• Ability to find gaps for process improvement, propose solutions, and implement them.

What We’re Looking For

• Proactive problem-solving: Taking initiative to improve data quality.


• Collaboration: Working closely with stakeholders across teams.


• Accountability: Owning the accuracy and integrity of data.


• Continuous improvement: Seeking ways to optimize deduplication strategies.


• Customer-centric mindset: Understanding how data quality impacts sales performance.

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.

All job postings are for existing vacancies. Please note; some interviews or new-hire training sessions may be held in person at one of our global offices.