Data Analyst - Product Operations
January 24
Description
• Conduct data analysis and implement a KPI tree and operational dashboard focused on Product Operations, emphasizing key performance indicators (KPIs) and user-centric metrics. • Infrastructure Setup: Combine existing data with necessary data infrastructure, leveraging tools such as Google Sheets, databases, and others to facilitate seamless data collection and analysis. • KPI Tree Development: Design and implement a structured KPI tree that aligns with Product Operations objectives and goals. • Dashboard Design: Create a visually compelling operational dashboard that effectively represents key KPIs and metrics relevant to Product Operations. • Data Integration: Integrate diverse data sources to ensure accurate and real-time tracking of user segments, actions, and other relevant operational data. • Process Creation: Develop efficient and scalable processes for data collection, ensuring a streamlined approach to updating and maintaining the operational dashboard. • Training and Documentation: Provide strong facilitation in remote, asynchronous settings, conducting hands-on training sessions and creating comprehensive documentation outlining the setup, processes, and key functionalities for future reference.
Requirements
• Proven experience as a Data Analyst, with a focus on setting up KPI trees and operational dashboards. Case studies/work examples will be required for interviews. • Expertise in data infrastructure, showcasing proficiency in major tools and platforms. • Strong understanding of Product Operations principles and their application to business processes and growth. • Demonstrated ability to translate complex metrics into actionable insights. • Strong facilitation skills for remote, asynchronous collaboration. • Effective communication skills to collaborate with cross-functional teams. • Detail-oriented with a focus on delivering high-quality, actionable insights. • Preference is given to candidates from Germany and England.
Benefits
• 4-month full-time contract with potential to extend • Opportunity to work with a fast-growing e-commerce analytics company • Compensation starting at $45/hr
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