Job Description
Requirements
What will you do:
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, measurement of A/B & 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 the new product launches: target launch metrics, A/B testing, post-launch metrics
Present data analysis and product performance evaluations to stakeholders and cross-functional teams
Learn and adopt new tools & technologies for advanced analytics and experimentation
Foster a shared purpose and collaborative learning environment among team members that enhances the capabilities of the team
Must have:
1-3 years of work experience in analytics
1+ years of experience developing statistical solutions in areas such as A/B and multivariate testing, causal inferences, 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
Good to have:
Experience with statistical programming languages such as Python or R
Significant experience, proficiency in, and passion for Mobile and/or Web product
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 equivalent
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