Central Analytics Lead - Growth & Marketing

We're on the hunt for a highly analytical and data-driven individual to join our team as a Central Analytics Lead . In this pivotal role, you'll be instrumental in championing data-driven decision-making throughout our organization. You'll take the lead in building and scaling our central analytics function, pinpointing key business opportunities, and empowering data-informed strategies across all departments. What You'll Do Develop and implement robust data analysis frameworks and methodologies. Build and maintain insightful data dashboards and reports to track key business metrics and monitor performance. Conduct in-depth data analysis to identify trends, uncover actionable insights, and inform strategic decisions. Develop and deliver compelling data-driven presentations to stakeholders across the organization. Collaborate closely with cross-functional teams (product, marketing, sales, operations) to understand their unique data needs and provide tailored, actionable insights. Build and mentor a high-performing team of analysts (this is a future expectation for the role). Identify opportunities for data-driven innovation and continuous process improvement. Ensure the highest standards of data quality and integrity across all systems. Stay ahead of the curve by keeping abreast of the latest advancements in data analytics and visualization. What You'll Bring 4+ years of experience in an analytics role , preferably within a high-growth startup environment. Exceptional SQL skills and hands-on experience with data warehousing and ETL processes. Strong experience with data visualization tools (e.g., Tableau, Power BI, Looker). Excellent communication, presentation, and data storytelling skills. The ability to translate complex data into clear, actionable insights and recommendations. Strong analytical and problem-solving skills, coupled with the ability to think critically and independently. A growth mindset with a strong desire to learn and adapt to new challenges. A Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related field. Bonus Points If You Have Experience building and scaling data infrastructure and systems. Experience with machine learning and predictive modeling techniques.