Manager - Visualisation.Marketing NG
Reports To: Senior Manager - Visualization Geo-Marketing and Research
Division: Marketing
Mission:
To produce analytics reports and dashboards in support of the MTNN business intelligence strategy, including requirements generation for the new data and information needs of the various departments and teams.
To support the business in understanding and utilizing business intelligence and enterprise data assets to make informed decisions.
Description:
Use market analysis, customer satisfaction, and internal service costing data to develop and manage value-based pricing strategies across the full range of MTNN products and services.
Estimate projects for business analysis given the data and systems available and the reporting needs of end users.
Review business needs, translate them into functional requirements, and manage the entire lifecycle of IT deliverables.
Interact with technical resources to understand and make best use of the corporate analytics technology stack, data warehouse, and translation tools.
Develop and maintain project plans and coordinate cross-functional activities for assigned projects. Duties include maintaining schedules to ensure timely completion of projects while meeting deadlines and budgetary constraints.
Communicate with business managers regarding the status of specific projects.
Oversee the development and implementation of reporting and visualization requirements from business teams.
Develop geographical and regional information and analysis and provide ongoing and ad hoc reports on essential “health indicators” of the business.
Coach and train the team to ensure understanding of the objectives and goals of the department, awareness of set targets and requirements, and regular review of their training needs.
Review the performance of individual team members and complete appraisals in accordance with the employee performance appraisal procedures and time schedules.
Identify the training requirements of team members and develop a program to address knowledge gaps and enrich the knowledge repository within the department.
Education:
First degree in computer science, information systems management, business, or any other related field, with appropriate on-the-job training from relevant professional experience.
A Master of Business Administration is highly desirable.
Fluency in English
Experience:
6–13 years’ experience that includes:
Minimum of 3 years’ experience in an area of specialization, with experience in supervising or managing others.
Experience working in a medium- to large organization
Minimum of 2-3 years in information systems and/or analytics, preferably in business intelligence or data analytics (building and managing enterprise-wide reports and dashboards).
Relevant experience as a project manager and/or a business process analyst
Proven experience with big data platforms, analytics, product selection, and proof-of-concept evaluation
Expert-level in SQL and data warehousing
Product and marketing management experience is highly desirable.
Strong knowledge of business intelligence and analytics products, best practices, and implementation approaches is required.
Division: Marketing
Mission:
To produce analytics reports and dashboards in support of the MTNN business intelligence strategy, including requirements generation for the new data and information needs of the various departments and teams.
To support the business in understanding and utilizing business intelligence and enterprise data assets to make informed decisions.
Description:
Use market analysis, customer satisfaction, and internal service costing data to develop and manage value-based pricing strategies across the full range of MTNN products and services.
Estimate projects for business analysis given the data and systems available and the reporting needs of end users.
Review business needs, translate them into functional requirements, and manage the entire lifecycle of IT deliverables.
Interact with technical resources to understand and make best use of the corporate analytics technology stack, data warehouse, and translation tools.
Develop and maintain project plans and coordinate cross-functional activities for assigned projects. Duties include maintaining schedules to ensure timely completion of projects while meeting deadlines and budgetary constraints.
Communicate with business managers regarding the status of specific projects.
Oversee the development and implementation of reporting and visualization requirements from business teams.
Develop geographical and regional information and analysis and provide ongoing and ad hoc reports on essential “health indicators” of the business.
Coach and train the team to ensure understanding of the objectives and goals of the department, awareness of set targets and requirements, and regular review of their training needs.
Review the performance of individual team members and complete appraisals in accordance with the employee performance appraisal procedures and time schedules.
Identify the training requirements of team members and develop a program to address knowledge gaps and enrich the knowledge repository within the department.
Education:
First degree in computer science, information systems management, business, or any other related field, with appropriate on-the-job training from relevant professional experience.
A Master of Business Administration is highly desirable.
Fluency in English
Experience:
6–13 years’ experience that includes:
Minimum of 3 years’ experience in an area of specialization, with experience in supervising or managing others.
Experience working in a medium- to large organization
Minimum of 2-3 years in information systems and/or analytics, preferably in business intelligence or data analytics (building and managing enterprise-wide reports and dashboards).
Relevant experience as a project manager and/or a business process analyst
Proven experience with big data platforms, analytics, product selection, and proof-of-concept evaluation
Expert-level in SQL and data warehousing
Product and marketing management experience is highly desirable.
Strong knowledge of business intelligence and analytics products, best practices, and implementation approaches is required.