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Product Analyst

๐Ÿ•’ 6 days ago
Product AnalyticsSQLBusiness IntelligenceA/B Testing
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๐Ÿ“œ Description

  • Partner with Product Managers to define product KPIs, evaluate performance, and inform product strategy.
  • Design, analyze, and optimize A/B experiments to improve product performance and user experience.
  • Build dashboards, data models, and AI-powered tools to automate reporting and accelerate insights.
  • Create self-service analytics solutions for Product, Engineering, and cross-functional teams.
  • Lead analytical initiatives and provide recommendations grounded in statistical research and business needs.
  • Collaborate with Product and Engineering to identify opportunities, solve complex problems, and evolve analytical methods using AI.

๐Ÿ› ๏ธ Requirements

  • 5+ years of experience in data analytics, BI, or Product Analytics.
  • Hands-on experience with SQL and BI tools.
  • Bachelor's or Master's degree in an analytical field, or equivalent analytical experience.
  • Experience analyzing large datasets and translating findings into product recommendations.
  • Strong product ownership, proactivity, and interest in using AI to improve analytical workflows.
  • Excellent communication and collaboration skills, including the ability to explain complex insights clearly in English.
  • Bonus: Product Analyst or product-team experience; Python, R, statistical analysis, or AI-powered tools and automations.

โœจ Benefits

  • Competitive benefits and well-being programs tailored to the region.
  • Comprehensive health benefits.
  • Fully stocked kitchen.
  • Location-specific perks.
  • Hybrid work schedule with 3 days in the office and the option to come in more often.
Full job description

Realize your potential by joining the leading performance-driven advertising company!

As a Product Analyst on the Product Analytics team in our Tel- Aviv office, you'll play a vital role in shaping product strategy through data and accelerating decision-making with AI-powered analytics. You'll partner closely with Product Managers to uncover opportunities, define success metrics, and transform complex data into actionable insights. By combining deep analytical expertise with modern AI tools, you'll help build smarter products while making analytics faster, more scalable, and more accessible across the organization.

To thrive in this role, you'll need:

  • 5+ years of experience in a data analytics, BI, or Product Analytics role.
  • Hands-on experience with SQL and BI tools.
  • Bachelor's or Master's degree in an analytical field (Science, Engineering, Statistics, Economics, Mathematics, or similar), or equivalent analytical experience.
  • Experience analyzing large datasets and translating findings into product recommendations.
  • A self-driven mindset with a passion for leveraging AI to automate workflows and improve analytical processes.
  • A strong sense of product ownership and proactivity to fully own a product domain, anticipate business needs, and continuously research and adopt evolving data methodologies.
  • Exceptional communication and collaboration skills with excellent English, and the ability to distill complex data insights into clear, actionable narratives for PMs, Engineering, and cross-functional partners.

Bonus points if you have:

  • Experience working as a Product Analyst or within a product-focused team.
  • Experience with Python, R, statistical analysis, or building AI-powered tools, automations, or agents.

How youโ€™ll make an impact:

  • Partner with Product Managers to define product KPIs, evaluate performance, and drive product strategy through data.
  • Design, analyze, and optimize A/B experiments to improve product performance and user experience.
  • Build dashboards, data models, and AI-powered analytical tools that automate reporting and accelerate insights.
  • Create self-service analytics solutions that empower Product, Engineering, and cross-functional teams to explore data independently.
  • Lead multiple analytical initiatives, providing strategic recommendations based on statistical research and business needs.
  • Collaborate with Product and Engineering teams to identify opportunities, solve complex problems, and continuously evolve analytical methodologies using AI.

Why Taboola?

If you ask Taboolars what they love about working here, they'll tell you that they've been empowered to realize their full potential while growing and learning from and with smart and talented people. They'll also share more about:

  • Adam Singolda, Taboola Founder and CEO says: "You can copy anything from another business but you can't copy a company's culture."
  • Well-being: Competitive benefits and well-being programs tailored to the region, comprehensive health benefits, a fully stocked kitchen, and location-specific perks.
  • Flexibility: We offer a hybrid work schedule with 3 days in the office, with the option to come in more often if desired.
  • Work with some of the biggest names: Our publisher partners include Yahoo, Condรฉ Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Instagram, X, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola's powerful ad platform, reaching approximately 600M daily active users across some of the world's leading publishers. Publishers like NBC News, Yahoo, and OEMs such as Samsung and Xiaomi use Taboola's technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

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