Product Data Analyst

Responsibilities:

• Gather and analyze data from various sources to extract actionable insights.
• Use statistical techniques and data visualization to interpret trends and patterns.
• Identify opportunities for product improvements based on data analysis.
• Monitor key product metrics and performance indicators.
• Conduct regular evaluations to assess product performance against goals and benchmarks.
• Identify areas of improvement and recommend strategies for optimization.
• Collaborate with stakeholders to gather and document product requirements.
• Translate requirements into clear and actionable user stories or product specifications.
• Prepare reports and presentations to communicate insights, findings, and recommendations.
• Present data analysis and product performance evaluations to stakeholders and cross-functional teams.
• Clearly articulate complex concepts concisely and understandably.

Requirements:

• Data Analysis: Proficiency in using analytical tools and techniques to gather, analyze, and interpret data.
• SQL and Database Knowledge: Proficiency in SQL to extract and analyze data from databases.
• Excel skills: Ability to prepare reports in online/offline Excel for business teams to monitor KPIs
• Python/R: Working knowledge of Python or R to handle metadata and complex calculations.
• Problem-Solving: Ability to identify problems, gather relevant information, and propose practical solutions to improve product performance and user experience.
• Critical Thinking: Capacity to think analytically, assess situations, and make data-driven decisions.
• Stakeholder Management: Skill in managing relationships with stakeholders, understanding their needs, and balancing competing priorities.
• Teamwork and Collaboration: Ability to work collaboratively with cross-functional teams, including product managers, designers, developers, and marketers.
• Adaptability: Flexibility to navigate a dynamic and fast-paced work environment, adjusting priorities as needed.
• Attention to Detail: Strong attention to detail to ensure accuracy and precision in data analysis, documentation, and requirement gathering.