Team Management:
- Recruitment, training and development of the analytics team.
- Task assignment, optimizing team performance.
- Conducting regular meetings with the team to discuss progress, challenges and strategies to improve department processes.
- Conducting regular 1:1.
Infrastructure and technology:
Strategy Development:
- Defining and implementing strategies to utilize data to achieve business objectives.
- Interacting with company leadership to develop data-driven strategic decisions.
Communication and Collaboration:
- Interacting with other departments to understand their needs and develop appropriate analytical solutions.
- Presenting analytical findings and recommendations to management and other stakeholders.
- Facilitating data-driven decision making.
Data Quality Control:
- Ensuring high data quality and reliability.
- Developing and implementing data quality control standards and procedures.
Reporting and Alerting:
- Creating regular and adhoc reports, visualizing data for different stakeholders.
- Setting up an alerting system for timely notification of important changes in data or indicators
Metrics:
- Create and then keep current a metrics hierarchy (metrics pyramid) that maps high-level business objectives to specific product metrics.
- Identify key product metrics that best reflect the health and performance of the product.
Integrating analytics into the product development process:
- Ensuring the analytics team works closely with product managers, designers and developers.
- Implementing analytic insights throughout the product lifecycle: from concept to launch and subsequent improvement.
A/B testing and experimentation:
- Lead the planning and execution of A/B tests and other experiments to evaluate product changes.
- Analyze test results and formulate recommendations based on data