Database Analyst

Job Description

Job Description

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.