Senior Product Analyst (225-805)

The Senior Product Analyst plays a crucial role in shaping the success of our product offerings by driving data-driven decisions. In this position, you will collaborate closely with product managers, engineers, and cross-functional teams to analyze and interpret product data, enabling strategic decision-making and product optimization. You will leverage your deep understanding of analytics tools and methodologies to uncover insights that guide product development and growth strategies. Your strong analytical skills and business acumen will allow you to identify trends, predict outcomes, and evaluate the impact of various product initiatives. The ideal candidate is a proactive problem-solver with a keen eye for detail and a passion for using data to drive significant business outcomes.

Responsibilities

• Analyze product data to identify trends, insights, and areas for improvement.
• Collaborate with product managers to define product metrics and key performance indicators.
• Develop dashboards and reports to communicate product performance to stakeholders.
• Conduct deep-dive analyses to understand user behaviors and interactions with the product.
• Provide data-driven recommendations to support strategic product decisions and roadmaps.
• Work closely with engineering teams to ensure data accuracy and integrity.
• Design and conduct A/B tests to evaluate the effectiveness of product changes.
• Monitor industry trends and competitor analysis to inform product positioning and strategy.
• Support product launches with quantitative analysis and forecasting.
• Identify opportunities for automation and process improvements in data collection and analysis.
• Mentor junior analysts, providing guidance on analysis techniques and best practices.
• Present findings and insights to senior leadership to influence decision-making.

Requirements

• Bachelor’s degree in Business, Economics, Statistics, or a related field.
• Minimum of 5 years of experience in product analysis or data analytics.
• Proficiency in analytical tools such as SQL, Python, R, or similar.
• Strong experience with data visualization tools like Tableau or Power BI.
• Excellent problem-solving skills with a quantitative and qualitative approach.
• Ability to translate complex data sets into actionable insights and strategies.
• Exceptional communication skills to effectively present findings to diverse audiences.
• Experience in designing and interpreting A/B test results and statistical analyses.
• Familiarity with product management concepts and lifecycle management.
• Ability to work collaboratively in a fast-paced, dynamic environment.