Use data to generate actionable recommendations to optimize performance and drive business results.
Define, measure, and monitor KPIs that reflect underlying business dynamics. Develop dashboards to track progress towards key results.
Design and build data models to capture key information necessary for business insights by integrating data from various sources.
Work with engineering and business teams to understand data models, gather requirements, and design accurate and actionable business intelligence solutions.
Design customer-facing dashboards and visualizations to share insights and recommendations from our platform.
Lead the application of advanced analytics to model user behavior, uncover drivers of growth, and operationalize actionable insights.
Collaborate with operations, sales, and customer teams to share findings, implement recommendations, and generate feedback loops.
Communicate insights and results to peers and leaders, promoting a culture of collaboration and learning across teams via mentoring, documentation, presentations, or other knowledge-sharing methods.
Identify bottlenecks and implement improvements to our processes and tools. We're early and the expectation of folks joining at this stage is that you'll play a huge part in setting and improving how we work.
Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and excellence.

Minimum 5 years of relevant data analytics or business intelligence experience in areas such as marketing analytics, product analytics, or strategy and operations.
Bachelor’s degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Business, Finance, Engineering etc.).
Excellent analytical, problem-solving, and critical thinking skills.
Strong proficiency in analytical tools such as SQL, Excel, Tableau or equivalent, cloud data warehouses.
Experience applying advanced analytics, statistical analysis, predictive modeling, and data visualization as needed to uncover and communicate insights from data.
Data model optimization skills to make BI processes more efficient and relevant is preferred.
Ability to translate complex data into actionable insights and recommendations, tailoring communications to diverse audiences.
Excellent verbal and written communication and presentation skills.
Execute tasks independently, with a strong ability to contextualize business performance.
Demonstrated leadership skills and the ability to thrive in a collaborative team environment.
Adaptability to a fast-paced and dynamic work environment.
Previous startup experience or equivalent strongly preferred.

Lead Data Analyst

Key skills