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.
