Data Analyst (TikTok API)
Posted 6 days ago by 1751525815
Negotiable
Outside
Hybrid
USA
Summary: The Data Analyst role focuses on leveraging TikTok's API to extract, analyze, and interpret data for business or research purposes. The position requires proficiency in data manipulation and visualization to inform marketing strategies and improve performance. The analyst will work with user demographics, video performance, and engagement metrics to derive actionable insights. This role is based in San Francisco with a hybrid working arrangement.
Key Responsibilities:
- Using the TikTok API (or third-party tools with API access) to pull data related to campaigns, videos, users, and more.
- Preparing the extracted data for analysis by cleaning, transforming, and structuring it.
- Applying various analytical techniques to uncover trends, patterns, and correlations within the data.
- Creating dashboards, reports, and visualizations to communicate findings to stakeholders.
- Using data insights to inform marketing strategies, content creation, and other business decisions.
- Monitoring the effectiveness of campaigns and content based on key performance indicators (KPIs).
Key Skills:
- Python or R for data manipulation and analysis.
- SQL for querying and managing data in databases.
- Tools like Tableau, Power BI, or TikTok's own analytics dashboards for data visualization.
- The ability to interpret data and draw meaningful conclusions.
- Familiarity with the TikTok API endpoints, authentication, and data structure.
- Understanding how TikTok works, its algorithms, and user behavior.
Salary (Rate): undetermined
City: San Francisco
Country: USA
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Role: Data Analyst
Location: San Francisco, CA - Hybrid
Job Description:
A Data Analyst with TikTok API integration works with TikTok's data to extract, analyze, and interpret information, often for business or research purposes.
This involves using the TikTok API to retrieve data like user demographics, video performance, and engagement metrics, then using those insights to inform strategies and improve performance.
Key Responsibilities: Data Extraction: Using the TikTok API (or third-party tools with API access) to pull data related to campaigns, videos, users, and more.
Data Cleaning and Transformation: Preparing the extracted data for analysis by cleaning, transforming, and structuring it.
Data Analysis: Applying various analytical techniques to uncover trends, patterns, and correlations within the data.
Reporting and Visualization: Creating dashboards, reports, and visualizations to communicate findings to stakeholders.
Strategy Development: Using data insights to inform marketing strategies, content creation, and other business decisions.
Performance Tracking: Monitoring the effectiveness of campaigns and content based on key performance indicators (KPIs).
Skills and Tools: Programming: Python or R for data manipulation and analysis.
SQL: For querying and managing data in databases.
Data Visualization: Tools like Tableau, Power BI, or even TikTok's own analytics dashboards.
Analytical Thinking: The ability to interpret data and draw meaningful conclusions.
Understanding of TikTok's API: Familiarity with the TikTok API endpoints, authentication, and data structure.
Knowledge of TikTok's platform: Understanding how TikTok works, its algorithms, and user behavior.