7 дней назад
Director, Product Data Analyst Team
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Product Data Analyst Team (Product Data Analytics): Leading a team of four analysts supporting Contentsquare’s core sales-driven product and using quantitative insights to guide product strategy, performance, and innovation with an accent on statistical analysis, data modeling, visualization, and stakeholder alignment. Focus on directing complex cross-functional initiatives, developing analysts, improving data empowerment, and introducing AI into data-analytics workflows.
Location: London area, hybrid
Company
provides a product analytics platform that combines quantitative and qualitative customer insights to inform product decisions.
What you will do
- Lead and develop a team of four product data analysts supporting the core sales-driven product.
- Advise product leaders on strategic analyses, monitoring, and priority topics.
- Direct complex cross-functional initiatives involving product, engineering, information systems, data ingestion, customer success, sales, lifecycle, and implementation teams.
- Set OKRs, provide feedback, develop talent, and optimize the team’s time-to-insight.
- Improve data empowerment across product lines through analytical methodologies, tools, training, and support.
- Partner with product research leaders and Product Directors/VPs to drive insights-based decisions and cross-department initiatives.
Requirements
- Prior experience as a data analyst and a business or engineering degree.
- Experience managing data analysts, preferably product analysts, and aligning teams to a strategic vision.
- Proficiency in statistical analysis, data modeling, data visualization, and data integrity practices.
- Experience with SQL, DBT, Excel, Tableau, or similar data analysis and visualization tools.
- Strong communication, critical thinking, problem-solving, organizational, and stakeholder-influencing skills.
- Experience working with product managers, engineers, designers, and other cross-functional teams.
Nice to have
- Experience working with product leaders and knowledge of SaaS product metrics.
- Understanding of machine learning concepts and experience implementing predictive models.
- Hands-on experience using or a similar product analytics platform.
- Ability to introduce AI into data-analytics workflows and unblock the team technically.
Culture & Benefits
- Collaboration across Product Insights, Product Research, product, engineering, and business functions.
- Equal opportunity employment environment.
- AI-assisted tools may support application review, while hiring decisions are made by human reviewers.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →