Database Analyst

We are looking for an experienced Database Analyst to join our team in Jersey City, New Jersey. This Contract-to-Permanent position offers 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.

Responsibilities:

• 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.

• 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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