Responsibilities

• Lead the design and implementation of analytics architecture to support product data transformation.
• Collaborate with data engineering and product teams to ensure seamless data integration and accessibility.
• Develop and maintain robust data pipelines that empower analysts and AI tools with accurate metrics.
• Translate complex business questions into actionable insights, facilitating quicker decision-making processes.
• Mentor junior team members and foster a culture of data-driven decision-making across the organization.
• Continuously assess and enhance analytics methodologies, ensuring they meet evolving business needs.
• Communicate findings and recommendations to stakeholders at all levels of the organization.

Requirements

• Proven experience in a data analytics or engineering role, with a focus on product analytics preferred.
• Strong proficiency in SQL and data modeling, as well as experience with analytics tools and platforms.
• In-depth understanding of data pipelines and ETL processes.
• Experience with programming languages such as Python, R, or similar for data manipulation and analysis.
• Excellent problem-solving skills and the ability to work independently and collaboratively.
• Strong communication skills, with the ability to present complex data insights in a clear and concise manner.
• A degree in Computer Science, Data Science, Statistics, or a related field is preferred.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health coverage, including medical, dental, and vision.
• Generous paid time off and flexible work arrangements.
• Opportunities for professional development and career advancement.
• Inclusive and supportive company culture that values diversity.
• Access to cutting-edge tools and technologies in the analytics space.
• Collaborative work environment with a focus on innovation and teamwork.