Responsibilities:
- Lead and manage data analysis projects from conception through execution, ensuring timely and successful delivery.
- Define project scope, objectives, and deliverables in collaboration with stakeholders.
- Develop detailed project plans, including timelines, resource allocation, and risk management strategies.
- Oversee the collection, analysis, and interpretation of investment-related data to generate actionable insights.
- Utilize statistical tools and data analysis software to assess investment opportunities, performance, and risks.
- Ensure data accuracy and integrity in all analyses and reports.
- Prepare and present comprehensive reports and visualizations to senior management and other stakeholders.
- Translate complex data findings into clear, actionable recommendations and strategic insights.
- Develop dashboards and reporting tools to track key investment metrics and performance indicators.
- Work closely with investment analysts, finance teams, and other departments to understand their data needs and provide support.
- Facilitate communication between project teams and stakeholders to ensure alignment and address any issues or changes.
- Identify opportunities for improving data collection, analysis processes, and reporting methods.
- Implement best practices and new technologies to enhance project efficiency and data accuracy.
Qualifications:
- Bachelor’s degree in Data Science, Statistics, Business Administration, or a related field.
- A Master’s degree or relevant certification (e.g., PMP, Six Sigma) is a plus.
- Minimum of 5 years of experience in project management with a focus on data analysis.
- Experience in the sports or golf industry is highly desirable.
Skills and Competencies:
- Proficiency in data analysis tools (e.g., SQL, Python, R) and data visualization software (e.g., Tableau, Power BI).
- Strong project management skills with experience in leading cross-functional teams and managing complex projects.
- Excellent analytical and problem-solving skills with the ability to interpret complex data and present findings clearly.
- Strong written and verbal communication skills, with the ability to convey technical information to non-technical stakeholders.
- Proven leadership abilities with experience in managing and mentoring team members.
This job has been sourced from an external job board.
More jobs on https://www.qureos.com/
We regret to inform you that this job opportunity is no longer available