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Contract-to-Permanent position offering an opportunity to make a significant impact by leveraging advanced analytics and statistical methodologies to optimize user experiences and drive product innovation. The ideal candidate will collaborate with cross-functional teams to deliver data-driven insights, guide experimentation strategies, and improve key business metrics.
Job Responsibility:
Conduct comprehensive analytical projects to identify opportunities and address challenges within the user journey
Serve as a strategic partner to product leaders by providing data-based recommendations to shape roadmaps and prioritize initiatives
Utilize advanced statistical methods, including regression analysis, Bayesian inference, and clustering, to derive actionable insights
Design and execute experimentation strategies, including A/B testing and quasi-experimental methods, to measure and enhance product performance
Develop predictive models to anticipate user behavior and assess long-term impacts on business outcomes
Create and maintain executive-level dashboards to monitor product KPIs and communicate findings effectively using visualization tools
Translate complex data analyses into clear, actionable recommendations for senior leadership
Mentor less experienced team members, fostering their skills in analytics, communication, and stakeholder engagement
Collaborate with engineering and UX teams to ensure alignment and integration of analytical solutions
Requirements:
Minimum of 5 years of experience in product or behavioral analytics with a proven track record of impacting digital product development
Advanced skills in Python (libraries such as pandas, NumPy, scikit-learn) and experience with Snowflake or similar platforms
Proficiency in SQL, including writing queries and managing database objects
Expertise in statistical analysis, experimentation design, and causal inference methodologies
Strong communication abilities, with experience presenting data-driven insights to leadership teams
Bachelor's degree in a quantitative field such as Statistics, Mathematics, or Data Science
Master's degree preferred
Demonstrated ability to lead analytical projects and collaborate effectively within cross-functional teams
Experience mentoring early-career analysts and fostering their growth in a detail-oriented manner
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