Sales Data Quality Analyst

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.