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gongio
Страна
Ирландия
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SeniorУдалённоПолная занятость

Senior Product Analyst

Оценка ИИ

Gong — лидер рынка с отличной репутацией и сильной корпоративной культурой. Вакансия предлагает высокий уровень влияния на продукт и отличный пакет льгот, включая заботу о ментальном здоровье и обучение.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует высокого уровня ответственности и более 5 лет опыта. Необходимо не только владеть техническим стеком (SQL, статистика), но и обладать навыками стратегического влияния на руководство компании.

Анализ зарплаты

Медиана85 000 €
Рынок75 000 € – 105 000 €
Оценка ИИ

Предлагаемая роль Senior уровня в Дублине обычно предполагает конкурентную оплату. Указанный диапазон соответствует рыночным стандартам для крупных технологических компаний в Ирландии.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Product Analyst position at Gong. With over five years of experience in product analytics and a proven track record of translating complex data into actionable insights, I have consistently helped product teams optimize roadmaps and drive measurable business growth. My background in quantitative analysis, combined with my proficiency in SQL and Tableau, aligns perfectly with Gong's data-driven culture and your 'Own. Solve. Impact.' philosophy.

In my previous roles, I have specialized in building comprehensive business cases for new features and establishing robust data governance practices. I am particularly drawn to Gong because of your innovative use of AI to transform revenue intelligence. I am eager to bring my expertise in statistical methods and dashboard development to help Gong continue its impressive trajectory and provide deep value to your 5,000+ global customers.

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Откликнитесь в gongio уже сейчас

Присоединяйтесь к Gong и станьте ключевым звеном в принятии стратегических решений на основе данных в одной из самых инновационных AI-компаний мира!

Описание вакансии

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.

As a Senior Product Analyst, You Will

  • Influence change by presenting product and customer data-driven insights to product management and senior leadership; confidently present the outcome of your analysis and make recommendations to executives and team leaders.
  • Be the right hand of product and business leaders in building business cases for new product functionality, and tracking the effectiveness of the functionality over time; monitor key metrics, identify business trends and generate forecasts.
  • Lead deep-dive analysis that will frame product strategy and product roadmap decisions.
  • Foster our data-centric, continuous learning culture with your passion for telling stories with data; grow our best practices around reporting quality, data hygiene, and data governance.
  • Own the design, development, and maintenance of ongoing dashboards and their underlying data sets.
  • Work collaboratively with product managers and engineers to ensure the right data is generated and collected.

You Should Apply If You Have

  • 5+ years of demonstrated experience working as a data or product analyst, preferably at a growing tech company.
  • Degree in Industrial Engineering, Statistics, Economics or another quantitative field
  • Confirmed ability to surface key insights that subsequently drove business changes with measurable lift in performance.
  • Fluency in common statistical analysis methods; and specifically, the ability to quickly separate data from noise.
  • Proficiency using SQL and Excel for data querying and manipulation; comfortable using additional data access and analysis tools.
  • Experience with product analytics methodologies.
  • Passionate about producing high-quality accurate analytics deliverables.
  • Ideally, you are experienced in creating and maintaining dashboards using data visualization tools such as Tableau, Looker, or similar.
  • Self-motivation, proactively going beyond the call of duty.
  • Creativity and strategic thinking.
  • The ability to work comfortably in a constantly evolving 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!

PERKS & BENEFITS

  • We offer Gongsters a variety of private health insurance plans, designed to fit you and your family’s needs.
  • Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
  • Mental Health benefits with covered therapy and coaching.
  • Education & learning stipend for personal growth and development.
  • Flexible vacation time to promote a healthy work-life blend.
  • Paid parental leave to support you and your family.
  • Company-wide recharge days each quarter.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.


Gong believes in offering competitive compensation and benefits tailored to the local region. Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, colour, religion, age, or any other basis protected by law.

To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.

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Навыки

  • SQL
  • Excel
  • Tableau
  • Looker
  • Statistics
  • Product Analytics
  • Data Visualization
  • Data Governance
  • Dashboarding

Возможные вопросы на собеседовании

Проверка способности кандидата влиять на бизнес-решения через данные.

Расскажите о случае, когда ваши аналитические выводы привели к значимому изменению в продуктовой стратегии. Как вы презентовали эти данные руководству?

Оценка технической грамотности в области продуктовых метрик.

Как бы вы подошли к определению и отслеживанию успеха для совершенно новой функции в экосистеме Gong?

Проверка навыков работы с качеством данных.

Какие методы вы используете для обеспечения чистоты и точности данных (data hygiene) при построении сложных дашбордов?

Оценка умения приоритизировать задачи в быстро меняющейся среде.

Как вы справляетесь с ситуацией, когда запросы от продакт-менеджеров на анализ данных превышают ваши текущие ресурсы?

Проверка статистической базы.

Можете ли вы объяснить разницу между корреляцией и причинно-следственной связью на примере поведения пользователей в SaaS-продукте?

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gongio
Страна
Ирландия