Senior Product Analyst

Taboola•Los Angeles, CA

4d•Hybrid

About The Position

The Senior Product Analyst is responsible for independently leading product data analytics and proactively guiding business growth based on data analysis and statistical research. This role involves researching and analyzing large datasets, developing data models and dashboards, and serving as the focal point for all data-related matters. The analyst will manage multiple data initiatives, define and analyze A/B tests, and participate in product-related decisions to identify opportunities for improvement. Collaboration with R&D and Product teams across different countries and time zones is essential. The role also emphasizes leveraging modern analytics and AI-enabled tools to enhance efficiency, automate workflows, and develop self-service solutions for insights. Strong analytical, product, and technical knowledge is required to support various analytical initiatives with product management, analytics, algorithm, R&D, policy, and business stakeholders.

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.

Responsibilities

Researching and analyzing large volume data sets and generating conclusions and actionable recommendations
Developing data models and dashboards and finding creative solutions for new challenges
Serving as the focal point for all data-related matters
Managing multiple data initiatives and projects on an ongoing and ad-hoc basis
Defining and analyzing A/B tests to optimize product performance and understand user behavior
Participating in product-related decisions and identifying opportunities for product improvements based on data analysis
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
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
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