Job Description

We are looking for a Product Data Operations Specialist specializing in live streaming. This role is responsible for building key indicator systems, conducting in-depth analysis of full-chain operational data, and identifying problems and growth opportunities. By collaborating with cross-functional teams, you will promote data-driven refined operational strategies to enhance user engagement and conversion efficiency.

Key Responsibilities

Responsible for data analysis of products related to live streaming business, building a data indicator system, and gaining a deep understanding of key metrics in live streaming scenarios (e.g., UV, dwell time, conversion rate, GMV, interaction rate).
Track the operational data of the entire live streaming chain, identify problems and growth opportunities, and drive product and operational optimization.
Collaborate with multiple teams including product, content, technology, and anchor operations to develop refined operational strategies based on data insights.
Design and drive data-driven operational projects, such as content recommendation optimization, traffic scheduling, and user segmentation operations.
Output regular data analysis reports to provide a basis for business decisions and develop sustainable growth operational strategies.

Required Skills & Qualifications

2+ years of experience in data analysis, preferably in live streaming or digital content platforms.
Strong analytical skills with expertise in building data indicator systems and interpreting key metrics.
Proficiency in data analysis tools (e.g., SQL, Python, Excel) and visualization tools (e.g., Tableau, Power BI).
Experience collaborating with cross-functional teams (product, content, technology) to drive operational improvements.
Excellent problem-solving skills with the ability to identify growth opportunities from complex datasets.
Strong communication skills to present data insights and influence decision-making.

Preferred Qualifications

Experience in live streaming platforms or e-commerce ecosystems.
Knowledge of user behavior analysis and A/B testing methodologies.
Familiarity with machine learning concepts for content recommendation systems.

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AI Job Analysis

Intelligent Job Recommendations Based on Deep Learning

Ready for Analysis

Analyze Job Core Requirements

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.

Understand Employer Recruitment Intent

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.

MyJob Interviewer Says

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.

AI Matching Suggestions

Job seekers should tailor their application and interview preparation specifically for Sidekick by emphasizing relevant experience in live streaming or digital content platforms. Highlight your technical skills and collaborative background to showcase how you can contribute to Sidekick's operational goals.

Customize your resume and cover letter to include keywords from the job description, such as 'data analysis for live streaming' or 'cross-functional collaboration,' and quantify achievements with metrics like 'improved conversion rate by X%.'
Gather examples of your work with data tools (e.g., SQL, Python, Tableau) and operational projects, focusing on how they addressed similar challenges in streaming or e-commerce to demonstrate direct applicability.
Research Sidekick's operations and business model to align your responses during interviews, discussing how your data insights could enhance their user engagement strategies and prepare for questions on A/B testing or machine learning applications.
Practice presenting data-driven insights through mock interviews, focusing on clear communication and problem-solving, and develop a narrative that connects your skills to Sidekick's growth-oriented environment.

Operations Specialist at Sidekick

Employment Information

Job Description

Key Responsibilities

Required Skills & Qualifications

Preferred Qualifications

AI Job Analysis

Analyze Job Core Requirements

Understand Employer Recruitment Intent

MyJob Interviewer Says

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Operations Specialist at Sidekick

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