Sales Data Quality Analyst
gomotive • Pakistan - Remote
No Relocation
Posted: August 6, 2026
Job Description
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.
Additional Content
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.