דרושים » ניהול ביניים » Data Analytics Team Leader

We are looking for a passionate and experienced team lead to join our Product data Analysts team.
We are seeking a dynamic and skilled team lead for our Product data Analysts team. This individual will play a crucial role in driving the team's success in designing feature KPIs, developing measurement strategies, analyzing data, and providing actionable insights. The ideal candidate will have a strong background in data preparation and analysis, a passion for mentoring, and the ability to collaborate effectively with cross-functional teams.
Key Responsibilities:
Leadership and Mentorship:
Mentor and develop the Product data Analysts team, fostering a culture of continuous improvement and professional growth
Provide guidance and support to team members, helping them achieve their individual and team goals

Strategy and Infrastructure Management:
Oversee the infrastructure of data, ensuring that data collection, Storage, and analysis processes are efficient and scalable
Implement work frames for planning analytical projects and the data preparation process from raw data to gold tables

data Analysis:
Design and implement feature KPIs and measurement strategies in collaboration with Product Managers
Lead the development and execution of A/B testing strategies and infrastructure
Analyze data to draw meaningful insights and impact decision-making on feature priorities and benefits

Collaboration and Communication:
Engage with parallel data teams and partners to ensure alignment and collaboration on data initiatives
Prepare monthly reports and lead insights meetings to communicate findings and recommendations to stakeholders

Were looking for a team leader to manage 2 data teams: our AI Analysts team and our Data Labeling team. The AI Analysts team manages end-to-end data processes for training and evaluating AI models.
The Data Labeling team specializes in creating high-quality manual labels. In your day-to-day, you will:
Lead and oversee a team of 4 AI analysts while also managing the team lead who directs a separate team of 6 labeling experts
Drive professional development through mentorship while implementing structured processes to optimize productivity and workflow efficiency
Collaborate with cross-functional stakeholders to align data strategy with broader business objectives and AI initiatives
Establish quality standards and evaluation frameworks for data curation and model validation processes
Balance resource allocation across multiple concurrent projects while ensuring timely delivery of high-quality data assets
Take a significant role exploring innovative approaches to data curation and evaluation methodologies that advance our AI capabilities.