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职位Gong

Product Analytics Team Lead

Gong

Product Analytics Team Lead

Gong

Tel Aviv

·

On-site

·

Full-time

·

1mo ago

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io.

At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career.

We are looking for a Product Analytics Team Lead, a strategic leader who lives at the intersection of data integrity and people development, dedicated to transforming raw metrics into a sophisticated analytical engine.

In this role, you will act as the guardian of our analytical standards while remaining deeply immersed in the data, ensuring our insights are as precise as they are influential.

You’ll Own:

  • The Quality Bar: Defining, implementing, and continuously improving standards, methodologies, and best practices for product analytics.

  • Team Growth & Mentorship: Leading, mentoring, and growing a team of product analysts through hands-on coaching and career development.

  • Analytics Procedures: Creating and maintaining procedures that ensure data consistency, accuracy, and business relevance.

  • Hands-on Execution: Personally leading complex analyses, exploratory investigations, and high-impact deep dives.

You’ll Solve:

  • Data Consistency & Accuracy: Fixing gaps in analytics procedures to ensure every insight is reliable and actionable.

  • Data Modeling Challenges: Working with engineers and product managers to ensure the right data is generated, collected, and modeled correctly.

  • Analytical Complexity: Tackling high-impact deep dives and investigations that require a hands-on, expert approach.

You’ll Impact:

  • Data-Driven Decision Making: Ensuring product analytics are business-relevant and lead to clear, actionable outcomes.

  • Organizational Excellence: Elevating the team's performance by setting high standards for quality and professional growth.

  • Product Strategy Alignment: Bridging the gap between engineering, product, and analytics to build a robust data foundation.

How You’ll Succeed Here:

  • 6+ years of experience working in data or product analytics, preferably at a growing tech company.

  • Out of which, 2+ years of experience in a managerial or team lead role, managing analysts or similar roles.

  • Degree in Industrial Engineering, Statistics, Economics, or another quantitative field.

  • Proficiency in SQL and Excel; comfort with additional analytics tools.

  • Experience with product analytics methodologies.

  • Strong coaching and feedback skills, with a track record of developing people.

  • A mindset focused on scaling impact, not just individual contribution.

  • Excellent communication skills, with confidence presenting to senior stakeholders.

  • Proven ability to surface insights that drove measurable business impact.

  • Experience building dashboards using tools such as Tableau, Looker, or similar.

  • Ability to balance hands-on analysis with leadership and process ownership.

  • Creativity, strategic thinking, and comfort operating in a fast-changing environment.

What makes the Product Analytics department at Gong unique?

Here at Gong, we trust and empower our employees with ownership to solve complex problems, make the right decisions and build the best products that create radical impact. We call it “Own. Solve. Impact.”

Our decision-making process at Gong is based on data and not on hunches. Therefore you’ll get an opportunity to play a major part in the company's product strategy and operations and to analyze complex, non-trivial data generated in a fast-moving product, which tens of thousands of users use daily or weekly.

If you are curious to discover Gong's wonderful and challenging world, what are you waiting for? Don’t delay - fill in your application details. Who knows, maybe there’s a Gongster in you!

About Us

We encourage our employees to express their personality and identity (whether gender, ethnic, religious, or sexual), and we ensure fairness and equal opportunities. We follow a hybrid working model that combines working from home, on the go, or at the office. This allows us: flexibility, autonomy, positive work relationships, and effective work habits.

If these considerations are important to you when choosing a work place, we'd love to see you with us.

To review Gong's privacy policy, visit www.gong.io/privacy-policy/ for more details.

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关于Gong

Gong

Gong

Series D

Falun Gong, also called Falun Dafa, is a new religious movement founded by Li Hongzhi in China in the early 1990s. Falun Gong has its global headquarters in Dragon Springs, a 173-hectare (427-acre) compound in Deerpark, New York, United States, near the residence of Li.

1,001-5,000

员工数

San Francisco

总部位置

$7.25B

企业估值

评价

4.2

10条评价

工作生活平衡

2.8

薪酬

4.1

企业文化

4.3

职业发展

4.0

管理层

3.5

78%

推荐给朋友

优点

Supportive team and management

Great benefits and health coverage

Collaborative and diverse work environment

缺点

Fast-paced and stressful environment

Heavy workload and high expectations

Work-life balance challenges

薪资范围

18个数据点

Junior/L3

Junior/L3 · Associate Data Analyst

1份报告

$97,650

年薪总额

基本工资

$75,500

股票

-

奖金

-

$97,650

$97,650

面试经验

1次面试

难度

3.0

/ 5

面试流程

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Panel Interview

5

Offer

常见问题

Behavioral/STAR

Past Experience

Culture Fit

Technical Knowledge