JOB SUMMARY
The Manager, Business Intelligence & Data Analysis is responsible for leveraging data-driven insights to support the company's strategic decision-making process. This role involves the collection, analysis, and interpretation of data from various sources to uncover meaningful trends, identify opportunities, and provide actionable recommendations to stakeholders.
DUTY & RESPONSIBILITY
- Collaborate with cross-functional teams to understand business requirements and data needs, ensuring the development of relevant and impactful analytics.
- Design and implement robust data collection and storage strategies, ensuring data integrity, security, and governance.
- Perform complex data analysis, including the use of advanced statistical techniques and predictive modeling, to derive insights that drive strategic initiatives.
- Develop comprehensive reports, dashboards, and visualizations that effectively communicate data-driven insights to stakeholders.
- Proactively identify areas for process improvement and optimization, and provide data-backed recommendations to enhance business performance.
- Stay abreast of industry trends, technological advancements, and best practices in business intelligence and data analytics.
- Collaborate with the data engineering team to ensure the seamless integration and transformation of data from various sources.
- Mentor and guide junior team members in developing their data analysis and visualization skills.
- Contribute to the overall data strategy and governance framework to ensure alignment with the company's objectives.
QUALIFICATION
- Bachelor's degree in data science, computer science, statistics, or a related field, with a minimum of 5 years of experience in data analysis and business intelligence.
- Proficient in SQL and Python programming languages, with the ability to extract, manipulate, and analyze complex data sets.
- Proven experience in designing and implementing data visualization tools, such as Tableau, Power Bl, or QIik, to effectively communicate insights.
- Strong understanding of data engineering principles, including data modeling, ETL processes, and data governance.
- Excellent analytical and problem-solving skills, with the ability to derive actionable insights from data.
- Effective communication and presentation skills, with the ability to translate complex data into easily understandable insights.
- Demonstrated experience in leading cross-functional initiatives and collaborating with stakeholders at all levels.
- Proactive, self-motivated, and adaptable to changing business requirements.
How to apply
Interested and qualified applicants should submit your updated Cover Letter and CV stating the position applied for with your current photo (4x6) through hr@canadiabank.com.kh
