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Lead Product Analytics Specialist
hace 2 meses
Job Overview
As the Lead Product Analytics Specialist, you will spearhead a team of product analysts dedicated to enhancing the Customer's product sectors. Your role will involve close collaboration with various cross-functional teams, including product management, engineering, developers, research, and design, to uncover opportunities for synergy and product enhancement. You will play a crucial role in ensuring the integrity and accessibility of data, which is vital for informed decision-making and organizational success.
Key Responsibilities
- Work alongside product leads and managers to pinpoint and prioritize initiatives linked to essential metrics and performance indicators.
- Establish KPIs and uphold consistent definitions of metrics across diverse teams.
- Collaborate with Research, Business Intelligence, and Data Engineering teams to foster a knowledge-driven culture.
- Develop and uphold best practices for data analysis and reporting.
- Oversee projects from inception to completion, ensuring adherence to deadlines and deliverables.
- Explore AI/ML solutions that can be integrated into production.
- Mentor and train team members on data analysis, reporting, and visualization best practices.
- Lead and manage a team of product analysts in evaluating product data and assessing product performance.
- Ensure the growth and satisfaction of team members.
- Support analysts by setting expectations, providing regular feedback, and maintaining accountability.
- Promote a positive culture and values within the analytics team by valuing each individual.
Qualifications
Essential Skills and Experience
- Proficient in executing complex SQL queries and experienced with database management systems and cloud-based data warehouses.
- Strong knowledge of Python programming.
- Expertise in Business Intelligence tools such as Tableau, Looker, and Mode.
- Experience addressing typical Product Analytics challenges, including user tracking, A/B testing, and experimentation.
- Familiarity with the operational dynamics of complex Product organizations in the SaaS sector, from research to experimentation.
- Exceptional communication skills, with a knack for storytelling and conveying ideas effectively to stakeholders and team members.
- A passionate analyst who thrives on creating knowledge and solving complex problems, with a strong desire for continuous learning.
- Results-driven, ensuring that deadlines and deliverables are consistently met while extracting meaningful insights from available data.
- Enthusiastic about data-driven decision-making and committed to maximizing impact through data insights.
- Understanding of product development processes and the collaboration required among various teams.
Desirable Skills and Experience
- Hands-on experience with Machine Learning models and advanced statistical methods applied to Customer Insights.
- Experience in mentoring and training team members.
- Proven experience as a people leader, with a focus on coaching, mentoring, and providing constructive feedback.
Additional Information
Compensation
- A competitive salary reflective of your experience and skills.
- A flexible remuneration and benefits system, including options for restaurant cards, transportation cards, and training tax savings.
- Eligibility for a share options plan after six months of employment.
Work-Life Balance
- Remote or hybrid work arrangements available.
- Flexible working hours, with minimal required meetings.
- Summer intensive schedule during July and August.
- 23 paid holidays, with the option to exchange local bank holidays.
- Additional paid holiday on your birthday or work anniversary.
Health and Wellness
- Private healthcare plan.
- Access to a mental wellness platform offering online psychological support and counseling.
Professional Development
- Free English and Spanish language classes.
We are committed to promoting equal opportunities in our hiring process and fostering an inclusive workplace. We welcome applications from all individuals, regardless of their background or identity. If you require any adjustments during the recruitment process, please let us know.
