Analytics managers are responsible for coordinating analytics tasks for their organization, including creating effective strategies to collect data, analyze information, conduct research, and implement analytics solutions for their products or services. They must also be able to measure performance, financial risks, and customer experience and motivate a team of specialists to complete objectives in a timely manner.
These managers must share information with other managers to fulfill projects before deadlines and have strong interpersonal skills to communicate key performance indicators. They often attend company meetings to suggest efficient ways to complete goals, and are also responsible for managing controls and processes to account for quality. They must strive to find business opportunities and analyze purchase trends and customer data in a variety of ways to improve satisfaction.
Analytics managers work in an office environment with a personal computer to run analyses on data and create complex reports, and they may share their findings with a vice president within the company. They are also tasked with delivering progress for operations, reviewing production performance, and managing schedules for future development, as well as facilitating technological approaches, implementing new hardware, and improving clients' experiences. They may handle cost and benefit analyses, efficiency utilization, and aligning goals for all business fronts, and after collecting enough data from concept, release, and research they must estimate performance, costs, and other forecasts.
A bachelor's degree in analytics, data management, or a related field is generally required for this position, and prior experience in analytics is highly beneficial. Industry certifications are also helpful.
Analytics Manager Tasks
Develop analytical approaches to answer business questions.
Provide end user reports with quality information and caveats, including actionable information.
Structure, manage, and extract data from multiple applications.
Apply statistical knowledge and data modeling to provide current and high quality information.