Senior Product Analyst
$101.71k - $156.48kTaboola
Taboola, Inc. seeks Senior Product Analyst in Los Angeles, CA. The Senior Product Analyst is responsible for independently leading product data analytics and proactively guiding business growth based on data analysis and statistical research. Specific duties include: (1) Researching and analyzing large volume data sets and generating conclusions and actionable recommendations; (2) Developing data models and dashboards and finding creative solutions for new challenges; (3) Serving as the focal point for all data-related matters; (4) Managing multiple data initiatives and projects on an ongoing and ad-hoc basis; (5) Defining and analyzing A/B tests to optimize product performance and understand user behavior; (6) Participating in product-related decisions and identifying opportunities for product improvements based on data analysis; (7) Working closely with R&D and Product teams across multiple countries and time zones to understand objectives and create products that contribute to the company’s goals; (8) Leveraging modern analytics and AI-enabled tools to improve the efficiency and scale of analytical work, including automating workflows and enhancing or developing analytical tools and self- service solutions that increase the accessibility of insights; (9) Developing and applying product, analytical, and technical knowledge to work with product management, analytics and algorithm teams, R&D, policy, and business stakeholders to support analytical initiatives.
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
$100k - $125k
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