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.

Experience
2-5 yrs