POSITION SUMMARY
Develop and implement a comprehensive analytics strategy to support our business objectives. Collect and analyze data from various sources to improve performance in Marketing, products and campaigns among others.
DUTIES & RESPONSIBILITIES
- Develop and implement a comprehensive analytics strategy to support the organization's business objectives.
- Collect and analyze data from various sources, including internal systems, third-party tools, and market research, to identify trends, patterns, and opportunities.
- Collaborate with stakeholders to define key performance indicators (KPIs) and develop dashboards and reports to track and measure performance against these metrics.
- Provide actionable insights and recommendations to stakeholders based on data analysis, helping them make informed decisions and drive business growth.
- Stay updated with the latest industry trends and advancements in analytics tools and technologies and evaluate their potential to improve our data analysis capabilities.
- Drive data governance initiatives by establishing data quality standards, ensuring data accuracy, and implementing data security measures.
- Collaborate with IT teams to ensure data infrastructure, systems, and tools are optimized to support efficient data collection, storage, and analysis.
- Effectively communicate complex analytical findings and insights to both technical and non-technical stakeholders through presentations, reports, and visualizations.
EXPERIENCE REQUIRED
- Bachelor's degree in a relevant field such as Mathematics, Statistics, Economics, or Computer Science. A Master's degree is preferred.
- Minimum of 5 years of experience in analytics or a related field, with at least 2 years in a leadership or managerial role.
- Proven track record of delivering impactful insights and recommendations based on data analysis.
- Demonstrated experience in developing and implementing analytics strategies in a corporate environment.
- Strong understanding of data governance principles and practices.
- Familiarity with data visualization best practices and tools.
- Experience working with large datasets and using statistical analysis techniques.
- Knowledge of programming languages such as Python or R is preferred
- Certification in relevant analytics tools or methodologies is a plus
