The Group Manager - Analytics will need to identify and manage a pipeline of projects related to data analytics in alignment with the business's vision and objectives across business teams supported by the Shared Services
- Lead data analytics projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities
- Implementation of appropriate data systems that lead to improved business performance and achievement of overall business goals
- To organize and assemble resources where required, identify the right technology to be used as per financial viability, set-up processes to deliver projects within timelines, creating the business case, follow through on necessary financial approvals and resources to address the current and future analytics needs of the business
- Enabling set-up and review of data structures and information systems, management, development, and integration of data analytics and business intelligence necessary for supporting the mission, vision strategies, objectives, and goals of business
- The person will work closely with leaders to support and implement high-quality, data-driven decisions
- Strategize and execute projects related to data analytics in alignment with the business's vision and objectives across business teams supported by the Shared Services
- Act as a subject matter expert in the designing and recommending of appropriate analytical approaches, tools and methodology in addressing key issues within the business
- Apply industry knowledge to interpret data and improve performance
Required:
- PMP Certification is desirable
- Six Sigma / Black Belt certification is desirable
- Extensive experience in business process analysis, data architecture design and development as well as the implementation of workflow enabled solutions.
- Exposure to working in market/business intelligence, strategic planning, project management, and cross-functional business experience as well as experience working with large data-sets, computing systems such as Hadoop, Teradata, Salesforce, SQL server reporting services, Tableau, analysis services, other data visualization tools
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