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SMB Quality Data Insights Expert

1 week ago

Singapore TikTok Full time
About the Role:

The TikTok SMB Quality team is dedicated to delivering exceptional customer experiences. As a highly analytical and strategic SMB Quality Insights Specialist, you will lead and innovate our quality insights infrastructure.

You will drive the development and execution of quantitative and qualitative insights, ensuring they deliver actionable intelligence to improve performance, customer satisfaction, and overall quality within the SMB organization.


Key Responsibilities:
  • Conduct in-depth analyses of quality-related data to identify trends, gaps, and opportunities, translating findings into actionable insights.
  • Design and maintain the data infrastructure required for quality analysis, ensuring the integration of various data sources across SMB sales operations.
  • Develop and automate reports, dashboards, and visualizations to monitor key quality performance indicators (KPIs) and support data-driven decision-making.
  • Partner with cross-functional teams, including Sales, Quality, Product, and Training, to align on data requirements and reporting strategies.
  • Develop scalable processes for quality when it comes to data sharing, collection, cleaning, and validation to ensure accuracy and reliability.
  • Collaborate with stakeholders to design and refine methodologies for capturing quantitative and qualitative quality metrics.

Requirements:
  • Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Business Analytics, or a related field; advanced degree preferred or equivalent practical experience.
  • 3+ years of experience in data analysis, data engineering, or related roles, preferably within a sales ops, sales or quality assurance environment.
  • Proficiency in data analysis tools and programming languages, such as SQL, Python, R, or similar.
  • Experience with data visualization platforms (e.g., Tableau, Power BI, Looker) to create impactful dashboards and reports.
  • Strong understanding of data architecture, ETL pipelines, and database management.
  • Exceptional problem-solving skills with a keen eye for identifying patterns and anomalies in data.
  • Excellent communication skills, with the ability to present complex data insights to non-technical stakeholders.