5 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 Analytics): Leading a team of four analysts supporting Contentsquare’s core sales-driven product with an accent on strategic analysis, product performance optimization, and data empowerment. Focus on developing analysts, directing complex cross-functional initiatives, introducing AI into analytical workflows, and influencing product leaders through actionable insights.
Location: Barcelona Area, hybrid
Company
’s Product Insights department combines product data analytics and product research to inform the product roadmap.
What you will do
- Lead and develop a team of four product analysts supporting the core sales-driven product.
- Align analytical priorities with product-group strategies and advise product leaders on high-impact analyses and monitoring.
- Direct complex cross-functional initiatives involving product, engineering, information systems, data ingestion, customer success, sales, lifecycle, and implementation teams.
- Set OKRs and quarterly priorities, provide feedback, develop talent, and improve the team’s time-to-insight.
- Identify data empowerment gaps and guide product teams in using analytical methodologies, tools, and insights.
- Partner with product research leaders and Product Directors/VPs to drive insights-based decision-making and introduce AI into team workflows.
Requirements
- Prior experience as a data analyst and a business or engineering degree.
- Experience with statistical analysis, data modeling, data visualization, and interpreting complex datasets.
- Experience with SQL, dbt, Excel, Tableau, or similar data analysis and visualization tools.
- Experience managing data analysts, preferably product analysts, and aligning a team with a strategic vision.
- Strong communication, critical thinking, problem-solving, organizational, and stakeholder-influence skills.
- Experience working with product managers, engineers, designers, and other cross-functional stakeholders.
Nice to have
- Experience working closely with product leaders across the full product lifecycle and knowledge of SaaS product metrics.
- Understanding of machine learning concepts and experience implementing predictive models.
- Hands-on experience unblocking analysts and communicating strategically.
- Experience using or a similar product analytics platform.
Culture & Benefits
- Collaboration across Product Insights, product, research, engineering, and business functions.
- Opportunity to build a data-driven culture and improve analytical maturity across product teams.
- AI-assisted tools may be used to support application review, while hiring decisions are made by human reviewers.
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