The Product Analyst will play a critical role in shaping Redo's product line through data-driven insights and experimentation. This individual will focus on conducting A/B testing to optimize product features, enhance user experience, and drive customer engagement. The ideal candidate is analytical, detail-oriented, and passionate about leveraging data to inform product decisions.
A/B Testing and Experimentation:
Design, implement, and analyze A/B tests to evaluate product features and improvements.
Collaborate with product managers, designers, and developers to define hypotheses and test parameters.
Analyze test results and provide actionable insights to stakeholders.
Data Analysis and Reporting:
Collect and analyze user behavior data, product usage metrics, and other relevant data sources.
Create and maintain dashboards and reports to track product performance and user engagement.
Present findings and recommendations to cross-functional teams to support data-driven decision-making.
User Research:
Conduct user research and surveys to gather qualitative feedback and understand user needs and pain points.
Collaborate with the UX team to ensure that user insights are incorporated into product design and development.
Product Strategy Support:
Assist in defining product roadmaps and prioritizing features based on analysis and user feedback.
Monitor industry trends and competitor products to inform product strategy and identify opportunities for innovation.
Collaboration:
Work closely with product managers, marketing, and engineering teams to ensure alignment on product goals and priorities.
Foster a culture of experimentation and continuous improvement within the product team.
Qualifications:
Bachelor's degree in a related field (e.g., Business, Data Science, Statistics, Marketing).
Proven experience in product analysis, data analysis, or a related role, preferably in the technology or SaaS industry.
Strong analytical skills with proficiency in A/B testing methodologies and statistical analysis.
Familiarity with data analysis tools (e.g., SQL, Excel, Google Analytics) and A/B testing platforms.
Excellent communication skills, with the ability to convey complex data insights to non-technical stakeholders.
Detail-oriented with a strong problem-solving mindset.
Passion for understanding user behavior and improving product experiences.