About the role
We are looking for a Product Analyst who will work closely with the product, engineering, and business teams to drive data-informed decisions. You will play a key role in analyzing product performance, generating actionable insights, identifying growth opportunities, and helping shape the product roadmap with data-backed recommendations.
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:
- 2-4 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 synthesize 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 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 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 Amplitude equivalents.