Data Analyst, E-Commerce - USDS
Seattle, Washington, United States
Team Intro
We are looking for Data Analysts to join our US Data Security E-Commerce Data Science team. The e-commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated. With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. We are looking for passionate and talented people to join our product and operations team, together we can build an e-commerce ecosystem that is innovative, secure and intuitive for our users.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
Responsibilities:
1. Monitoring and Diagnosing Metrics: Continuously monitor and analyze key business metrics. Identify trends, anomalies, and areas for improvement
2. Collaborate with cross-functional teams to coordinate resources and investigations during metric change events. Work closely with data engineers and other analysts to ensure data accuracy and availability
3. Develop, maintain, and improve reporting frameworks for weekly, monthly, and quarterly business reviews
4. Effectively communicate changes in metrics, insights, and recommendations to stakeholders, including senior management, operations and business teams
5. Build and maintain interactive dashboards and data visualizations that enable stakeholders to self-serve and access relevant information efficiently.
6. Conduct in-depth data analysis to uncover actionable insights. Provide recommendations for optimizing business performance
7. Ensure data accuracy and consistency by implementing data validation checks and working closely with data engineering teams to resolve data discrepancies
8. Respond to ad-hoc data requests and perform special analyses as required by the business to support strategic decision-making
We are looking for Data Analysts to join our US Data Security E-Commerce Data Science team. The e-commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated. With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. We are looking for passionate and talented people to join our product and operations team, together we can build an e-commerce ecosystem that is innovative, secure and intuitive for our users.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
Responsibilities:
1. Monitoring and Diagnosing Metrics: Continuously monitor and analyze key business metrics. Identify trends, anomalies, and areas for improvement
2. Collaborate with cross-functional teams to coordinate resources and investigations during metric change events. Work closely with data engineers and other analysts to ensure data accuracy and availability
3. Develop, maintain, and improve reporting frameworks for weekly, monthly, and quarterly business reviews
4. Effectively communicate changes in metrics, insights, and recommendations to stakeholders, including senior management, operations and business teams
5. Build and maintain interactive dashboards and data visualizations that enable stakeholders to self-serve and access relevant information efficiently.
6. Conduct in-depth data analysis to uncover actionable insights. Provide recommendations for optimizing business performance
7. Ensure data accuracy and consistency by implementing data validation checks and working closely with data engineering teams to resolve data discrepancies
8. Respond to ad-hoc data requests and perform special analyses as required by the business to support strategic decision-making
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
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Category:
Analyst Jobs
Tags: Data analysis E-commerce Engineering Security
Perks/benefits: Team events
Region:
North America
Country:
United States
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