Product Analyst

Responsibilities:

• Define and monitor key performance metrics to ensure product success and take a data-driven approach to create and iterate on the product.
• Conduct complex statistical analyses to uncover key drivers of the business.
• Conduct test design and measurement of A/B and multivariate tests across several testing programs.
• Utilize standard t-tests, advanced analytical techniques, and existing data science models to generate insights from tests and analyses.
• Provide feedback to product and engineering teams on the impact of new product launches: target launch metrics, A/B testing, and post-launch metrics.
• Present data analysis and product performance evaluations to stakeholders and cross-functional teams.
• Learn and adopt new tools and technologies for advanced analytics and experimentation.
• Foster a shared purpose and collaborative learning environment among team members that enhances the capabilities of the team.

Requirements:

• Skills: SQL, B2C, Python.
• 3-4 years of work experience in analytics.
• 1+ years of experience developing statistical solutions in areas like A/B and multivariate testing, causal inference, and design of experiments.
• Strong coding skills in SQL.
• Strong problem-solving skills and ability to synthesise actionable insights and strategies from complex data.
• Excellent communication and stakeholder management skills.

Nice-to-Have:

• Exposure to scripting languages (Python/R) for data analysis.
• Experience working in fast-paced startups or digital product companies.
• Understanding of the product development lifecycle and agile methodologies.
• Prior experience with mobile or consumer-facing products.

Good to have:

• Experience with statistical programming languages such as Python or R.
• Significant experience, proficiency in, and passion for mobile and/or web products.
• Direct experience in the experimentation area.
• Proven analytical skills and deep understanding of statistics, machine learning, and research methods.
• Experience communicating with stakeholders, including product managers, data scientists, and engineers.
• Experience working on product analytics tools like Mixpanel or an Amplitude equivalent.