Assistant Manager - Data Analyst 10N25

The Assistant Manager - Data Analyst 10N25 plays a crucial role in managing and optimizing data processes within an organization. With a strong analytical skill set and a keen eye for detail, this position is responsible for assisting in the decision-making process by providing valuable insights derived from data analysis. The Assistant Manager will support the team in developing robust data models, conduct in-depth data analyses, and ensure the seamless integration of data from various sources. By collaborating closely with senior management and cross-functional teams, this role will drive efficiency improvements and business strategies. If you possess excellent analytical abilities, leadership skills, and a strong command of data visualization and reporting tools, we encourage you to apply for this dynamic position.

Responsibilities

• Assist in designing and implementing data analysis strategies for business improvement.
• Conduct comprehensive data analyses to support decision-making in strategic areas.
• Develop, test, and maintain robust data models for enhanced data efficiency.
• Collaborate with cross-functional teams to identify and fulfill data needs.
• Prepare detailed reports and data visualizations to communicate findings effectively.
• Ensure accuracy and integrity of data through consistent validation and verification.
• Support senior management with key insights derived from complex data sets.
• Analyze large data sets to identify trends and patterns for improved strategy planning.
• Monitor data quality metrics and initiate process improvements where necessary.
• Lead data-driven projects and initiatives from conception to completion.
• Mentor and guide junior data analysts in best practices and advanced techniques.
• Stay updated with industry trends and technologies to drive continuous improvement.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, or related field.
• Minimum of three years of experience in a data analysis or relevant role.
• Exceptional analytical and problem-solving skills with attention to detail.
• Proficiency in data visualization tools such as Tableau, Power BI, or similar.
• Advanced knowledge of SQL and experience with relational databases is required.
• Strong communication skills for presenting data insights to various stakeholders.
• Ability to work collaboratively with team members and cross-functional teams.
• Experience with statistical software such as R or Python is a plus.