PepsiCo

R&D External Innovation Data Analyst

PepsiCo
3.8 / 5
Hyderabad Not disclosed
Yesterday
On-Site
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About the job

Responsibilities Data Collection, Entry & Management • Collect and manage data for new opportunities from our technology scouts, internal stakeholders and external partner ecosystem. • Perform data input into the Leads Management System (Microsoft Dynamics Customer-Relationship Management Database). • Assist in maintenance, optimization and continuous improvement of our data systems. • Ensure that quality assurance standards for data entry are adhered to by database users. • The candidate must be detail-oriented and be able to manage several commitments simultaneously and meet stringent deadlines. LMS / CRM Platform Support • Customize and configure the LMS platform; implement LMS workflows, dashboards, and reports to streamline processes and improve data visibility. • Manage inquiries and requests for assistance for the Leads Management System in a timely manner. • Take responsibility for training and roll-out of this key information management tool to key functional areas in R&D. Data Analysis & Reporting • Analyze LMS and other data to provide insights and recommendations that support strategic decision-making. • Generate and distribute regular reports on key performance indicators (KPIs) and metrics related to external innovation activities. • Use MS Suite (Power Tools) for data analysis and reporting. Process Improvement • Identify opportunities to enhance the functionality and user experience of LMS and other software systems. • Develop and implement best practices for data entry, maintenance, and management within the LMS and other software systems. Collaboration & Communication • Collaborate with cross-functional teams, including R&D Stakeholders, IT and with external partners and vendors to ensure seamless data exchange, integration and communication. • The ability to communicate well and develop positive working relationships with internal partners and colleagues in a team environment is essential, as is the ability to work with a minimum amount of supervision.

Qualifications

  • Bachelor’s degree, preferably related to science or IT

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