Taboola

Senior Product Analyst

Los Angeles, California, United StatesFull timeSeniorPosted 20 days ago
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Taboola, Inc. seeks Senior Product Analyst in Los Angeles, CA. The Senior Product Analyst isresponsible for independently leading product data analytics and proactively guiding business growthbased on data analysis and statistical research. Specific duties include: (1) Researching and analyzinglarge volume data sets and generating conclusions and actionable recommendations; (2) Developing datamodels and dashboards and finding creative solutions for new challenges; (3) Serving as the focal pointfor all data-related matters; (4) Managing multiple data initiatives and projects on an ongoing and ad-hocbasis; (5) Defining and analyzing A/B tests to optimize product performance and understand userbehavior; (6) Participating in product-related decisions and identifying opportunities for productimprovements based on data analysis; (7) Working closely with R&D and Product teams across multiplecountries and time zones to understand objectives and create products that contribute to the company’sgoals; (8) Leveraging modern analytics and AI-enabled tools to improve the efficiency and scale ofanalytical 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, IndustrialEngineering, Computer Science, or related quantitative field;- Three years of professional experience in a data analysis, business intelligence, or productanalytics role in a data-rich environment, analyzing large, complex datasets to inform multiplestakeholders 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 andanalytical databases (e.g., BigQuery, Vertica, or similar), and proficiency with Python orcomparable analytical programming languages for data analysis and automation- Hands-on experience with BI and data visualization tools (e.g., including Tableau ), includingdashboard design and development using established analytics and visualization methodologies todeliver reliable, self-service insights to stakeholders.- Demonstrated, hands-on experience routinely applying AI-enabled analytics tools to materiallyimprove 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 andimpact of insights.- Demonstrated ability to lead analytical initiatives, including ownership of a defined analytical orproduct domain, metric definition, insight synthesis, and clear communication and presentation ofrecommendations to ...