Position Overview:
We are seeking an experienced and results-oriented Data Analytics Team Lead to oversee our analytics team and drive data-informed decision-making across the organization. Reporting directly to the Chief Product Officer, you will be responsible for managing analytics projects, mentoring team members, and collaborating with cross-functional teams to deliver actionable insights that support our product strategy.

Key Responsibilities:

• Lead and mentor a team of data analysts, fostering a culture of collaboration, continuous learning, and innovation.
• Oversee the design, development, and implementation of data analysis projects, ensuring alignment with product goals and objectives.
• Collaborate closely with product managers, engineers, and other stakeholders to identify data needs and prioritize analytics initiatives.
• Develop and maintain dashboards, reports, and data visualizations that effectively communicate key performance indicators (KPIs) and product insights.
• Conduct advanced analyses to identify trends, anomalies, and opportunities for product enhancement and user engagement.
• Champion best practices in data management, analysis, and visualization across the organization.
• Present findings and strategic recommendations to the Chief Product Officer and executive leadership team.
• Stay abreast of industry trends, emerging technologies, and competitive landscape to inform analytics strategies.

Qualifications:

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field; Master’s degree preferred.
• 3+ years of experience in data analytics or a related role, with at least 1 year in a leadership capacity.
• Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R).
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker) and advanced analytics techniques.
• Strong leadership and project management skills, with the ability to motivate and develop a team.
• Excellent analytical and problem-solving skills, with a track record of translating complex data into actionable insights.
• Exceptional communication skills, with the ability to present data-driven findings to technical and non-technical audiences.
• Familiarity with product development processes and Agile methodologies is a plus.