Data Product Analytics Team Leader - Connecteam

Who Connecteam is:

Connecteam is a TLV-based startup that’s on a mission to change the work experience for 80% of the world’s global workforce - Deskless employees. 

Our business management platform helps thousands of businesses thrive by taking away the daily hustle and complexities of managing teams, so they can have the peace of mind to grow and run their business.

About this role:

Connecteam is looking for a Data Product Analytics Team Lead to join our growing BI Analytics department and make a huge impact. In this key role, you'll collaborate with various company departments like Sales, Marketing, Finance, but mainly Product, playing a significant part in decision-making. Additionally, you'll be responsible for recruiting, training, and supervising a team of data analysts with product orientation.

Ownership & Responsibilities:

• Hire and manage a data analytics team (recruit, train, and coach the growing team).
• Lead analytical projects across the company.
• Build and navigate the data vision of your business unit.
• Build specialization-specific operational dashboards to visualize data analysis and insights.
• Develop an Analytics Framework in collaboration with Business Process Improvement and Operations Management.
• Quarterly Planning (roadmap) in collaboration with operations management and Product team.
• Write monthly Specialization-specific performance reports; written reports should show methodology with detailed statistical analysis, a summary of key findings, and recommendations.
• Foster, operationalize, and streamline product launches; including friction optimization to improve user experience.
• Taking our product to the next level

Requirements: 

• 5+ years as a Data / Product / Business / BI Analyst in a fast-paced web/online company and working with large data sets.
• 3+ years as a Data/ BI team lead.
• Hands-on experience with SQL for conducting deep analysis and developing infrastructure.
• Expert in creating dashboards/data visualizations (Looker, MetaBase, Tableau, etc.)
• Knowledge of database structures and integration.
• Excellent communication skills in English.
• Strong personality that can work with the highest management levels and manu stakeholders.

Advantages:

• Statistics familiarity or background.
• Experience in Python.