Operations Specialist at Sidekick

This role requires a strong foundation in data analysis and operational expertise specifically tailored to live streaming environments, with a focus on leveraging data to optimize user engagement and business performance.

• Proficiency in data analysis tools such as SQL, Python, and visualization software like Tableau or Power BI.
• Ability to build and interpret key performance indicators (KPIs) for live streaming scenarios, including UV, dwell time, conversion rate, GMV, and interaction rate.
• Experience in tracking full-chain operational data to identify problems, growth opportunities, and driving collaborative optimization efforts.
• Skills in designing and implementing data-driven operational projects, such as content recommendation systems and user segmentation strategies.
• Capability to produce regular data analysis reports that inform strategic decisions and support sustainable business growth.

Sidekick, likely a tech-focused company in the digital content or e-commerce sector, is recruiting this Operations Specialist to address the growing demand for data-driven operations in live streaming. Their intent is to enhance user engagement and conversion efficiency by leveraging detailed operational insights, suggesting a need for scalable, innovative strategies in a competitive market. This indicates a preference for candidates who can not only analyze data but also foster cross-functional collaboration to drive measurable business outcomes, aligning with Sidekick's potential focus on rapid growth and technological advancement in the streaming industry.

Interviewers would prioritize candidates demonstrating strong analytical skills and hands-on experience with data tools, assessing their ability to translate complex datasets into actionable operational strategies. They may focus on problem-solving capabilities, such as identifying growth opportunities from operational data, and communication skills to influence cross-functional teams. Emphasis would be placed on real-world examples of data-driven projects and collaboration, with potential case studies or scenario-based questions to evaluate depth of expertise and cultural fit.