Senior Product Analyst

REQUIREMENTS:
– Bachelor’s degree in Statistics, Data Analysis, Data Science, Applied Mathematics, Industrial
Engineering, Computer Science, or related quantitative field;
– Three years of professional experience in a data analysis, business intelligence, or product
analytics role in a data-rich environment, analyzing large, complex datasets to inform multiple
stakeholders including business and product decisions.
– Three years of hands-on product analytics or data science experience.
– Advanced SQL experience, including work with large-scale or cloud-based data warehouses and
analytical databases (e.g., BigQuery, Vertica, or similar), and proficiency with Python or
comparable analytical programming languages for data analysis and automation
– Hands-on experience with BI and data visualization tools (e.g., including Tableau ), including
dashboard design and development using established analytics and visualization methodologies to
deliver reliable, self-service insights to stakeholders.
– Demonstrated, hands-on experience routinely applying AI-enabled analytics tools to materially
improve analytical workflows and outputs, including independent use of such tools to enhance,
scale, or develop analytical tools, methods, or data products that increase the accessibility and
impact of insights.- Demonstrated ability to lead analytical initiatives, including ownership of a defined analytical or
product domain, metric definition, insight synthesis, and clear communication and presentation of
recommendations to technical and non-technical stakeholders across varying levels of the
organization in global cross-functional environments.