Data Analytics Manager 14N25

The role of a Data Analytics Manager is crucial in turning large sets of raw data into actionable insights that drive business decisions. This position requires a strategic thinker who understands both the technical aspects of data analytics and the business outcomes that the data can influence. The Data Analytics Manager will lead a team of data analysts, work closely with cross-functional teams, and communicate complex data insights to stakeholders at all levels. The ideal candidate will possess strong analytical skills, a deep understanding of data analysis techniques, and experience in data visualization and reporting tools. They will also be responsible for ensuring the accuracy, reliability, and accessibility of data to support the organization's strategic goals. Our organization is seeking individuals who are not only adept at technical problem-solving but also have the ability to communicate insights effectively to drive substantial business impact.

Responsibilities

• Lead and manage a team of data analysts in day-to-day operations.
• Develop data models and algorithms to extract meaningful insights from datasets.
• Collaborate with cross-functional teams to define business requirements for analytics solutions.
• Design data visualization strategies to effectively present insights to stakeholders.
• Ensure data accuracy, availability, and governance within the analytics platforms.
• Provide strategic recommendations based on data analysis findings to senior management.
• Stay updated with the latest trends and advancements in data analytics technologies.
• Implement best practices in data analysis, reporting, and data management.
• Develop and maintain performance metrics to quantify analytics impact on business performance.
• Build predictive models for evaluating future business scenarios and improve decision-making.
• Facilitate data-driven discussions with teams to enhance operational effectiveness.
• Prepare detailed reports and presentations to communicate insights and recommendations.

Requirements

• Bachelor’s degree in Data Science, Statistics, or a related field required.
• Proven experience in data analysis and managerial roles within a business environment.
• Strong analytical skills with the ability to handle complex datasets efficiently.
• Proficiency in data visualization tools such as Tableau, Power BI, or similar platforms.
• Excellent communication skills to present data insights clearly to non-technical stakeholders.
• Experience in programming languages such as Python, R, or SQL for data manipulation.
• Deep understanding of statistical analysis and predictive modeling techniques.
• Ability to work in fast-paced environments while managing multiple projects simultaneously.
• Strong leadership skills and experience in leading diverse analytical teams.