Senior Product Analyst, Papercup

• Ability to independently manage projects and work cross-functionally to coordinate and deliver relevant business and product insights
• Python coding, particularly in the realms of automation and system integrations
• Strong SQL expertise, capable of complex query development and database management
• Demonstrable experience in data cleaning, manipulation, visualisation, and reporting
• Rigorous attention to detail and a commitment to QA in evaluating both your work and that of fellow team members
• Knowledge of statistics principles is necessary to interpret data and apply models. For example, knowledge of errors and confidence intervals to understand whether a relation seen in the data is spurious or significant

Desirable

• Papercup is revolutionising the world of media through state-of-the-art AI dubbing technology, making videos universally accessible regardless of language. As we expand our horizons, we are in search of a seasoned Senior Product Analyst to join our team
• This role is pivotal to our mission, providing critical insights that empower our operations, product & machine learning systems
• In this role, you will serve as the analytical backbone of our product teams, interfacing with developers, data engineers, and cross-functional stakeholders to ensure our data is leveraged to its fullest potential
• Your expertise will not only shape the development of new features but also bolster the decision-making processes within Machine Learning, Finance, and Operations domains
• Collaborate closely with developers and data engineers to evaluate the utility of data for analytics in the context of new feature deployment
• Maintain up-to-date knowledge of data model transformations and progressions
• Design and construct detailed reports and dashboards to support the needs of cross-functional teams, including Machine Learning (ML), Finance, Product and Operations
• Develop tailored analyses for diverse applications across various company functions
• Spearheading the development of a cross-functional data/analytics strategy and roadmap aligned with business objectives
• Implementing and upholding best practices for data in relation to analytics and reporting