Assistant Manager - Data Analyst (225-923)

The role of Assistant Manager - Data Analyst is a crucial position within our organization, designed for individuals with a strong analytical mindset and leadership abilities. This position requires a balance between analytical skills and managerial capabilities. The Assistant Manager will support the data analysis team by coordinating data-related projects, ensuring data accuracy, and driving insights that support business decision-making. The ideal candidate should possess robust experience in data manipulation, statistical analysis, and visualization tools, alongside the ability to manage team dynamics effectively. They will be instrumental in influencing strategic business processes through data-driven insights and will work closely with other departments to align data projects with business objectives. This role offers significant growth potential and the opportunity to impact the company’s data strategy directly.

Responsibilities

• Coordinate and oversee the daily operations of the data analysis team efficiently.
• Develop and implement data analysis, data collection systems, and other strategies.
• Analyze and interpret complex data sets to derive actionable insights effectively.
• Present data findings to stakeholders using advanced visualization tools appropriately.
• Collaborate with IT and business units to identify opportunities for process improvement.
• Ensure accuracy and completeness of data records in the organization’s databases.
• Guide and mentor junior data analysts in developing analysis techniques and skills.
• Create detailed reports summarizing data analysis findings and business conclusions.
• Monitor data collection processes to ensure data integrity and quality maintenance.
• Stay current with emerging trends and technologies in data analysis fields.
• Perform data audits and regularly report results to senior management teams.
• Assist in developing predictive models to support organizational forecasting efforts.

Requirements

• Bachelor’s degree in Data Science, Statistics, Computer Science, or related field.
• Minimum of 3 years of professional experience in data analysis or management.
• Proficiency in statistical software such as R, SAS, Python, or similar tools.
• Strong expertise in data visualization tools like Tableau or Power BI is essential.
• Demonstrated ability to manage and prioritize multiple complex projects effectively.
• Excellent communication skills for presenting complex data analysis results clearly.
• Experience in leading a team or managing data-focused projects in an organization.
• Solid understanding of database management systems and data warehousing concepts.
• Analytical mindset with problem-solving skillsets allowing quick adaptation to changes.