Product Analyst I

About the Role

Key Responsibilities

• Develop and maintain dashboards to monitor product performance and key metrics.
• Collaborate with product managers, designers and engineers to define and track product success metrics.
• Analyze user behavior to identify trends, pain points and opportunities for improvement.
• Contribute to the development of the data pipeline for product telemetry.
• Manage and improve data collection processes to ensure data quality and consistency.
• Translate data insights into actionable recommendations for product development and growth.
• Provide ad-hoc analysis to support decision making for cross-functional teams.
• Identify and communicate opportunities for improving product adoption and retention.
• Monitor and analyze funnels to optimize conversion rates and reduce drop-offs.
• Work with engineering to ensure accurate tracking and tagging of product events.
• Enable exceptional customer experiences for IP Video Services offered to B2C and B2B customers.
• Identify and implement improvements to enhance customer communication and reduce contact rates.
• Establish a feedback loop with internal/external stakeholders to drive continuous improvement.
• Ensure rigorous testing and validation processes to maintain high product quality and reliability.
• Plan and execute product launches, ensuring seamless coordination with relevant teams.
• Introduce capabilities for effective A/B testing of releases across test populations.
• Provide training and support to team members on data tools and best practices.
• Drive innovation by identifying and implementing new tools, technologies, and methodologies.
• Provide regular updates to stakeholders on product operations, performance, and strategic initiatives.

Requirements

• Minimum 1-3 years of experience in product analytics, data analysis or similar role.
• Effective communication and presentation skills, with the ability to convey data insights.
• Ability to define and measure key performance indicators aligned with business goals.
• Experience with product delivery tools like Jira and Confluence.
• Demonstrated experience solving performance and data issues by applying experience/knowledge.
• Familiarity with metrics like customer acquisition, retention, engagement and churn, particularly as they relate to product performance.
• Focus on customer feedback, ensuring that products meet user expectations and customer satisfaction.

Nice to Have

• Bachelor's degree in Data science, Statistics or Computer Science.
• Proficiency in data visualization tools like Tableau or Power BI.
• Strong skills in analyzing large data sets using SQL or similar languages.
• Experience with programming languages such as Python or R for advanced analytics.
• Familiarity with A/B testing framework and methodologies.
• Knowledge of web and mobile analytics tools.
• Experience working with event tracking systems and tagging implementations.
• Strong statistical analysis and hypothesis testing skills.
• Background in quality assurance or testing and validation processes.
• Experience conducting user testing and gathering feedback to improve the user experience.
• Understanding of data modeling and interpreting large data sets to generate actionable insights.