Data Analytics, Analyst

What you will do:

• Performing Data engineering via development & collaboration between various databases, Web Apps, Power Apps, enterprise platforms, machine learning models.
• Good know-how in Power BI, Power Apps, SharePoint, Azure
• Developing Apps and hosting solutions in MS-Azure type environments.
• Ensuring hosting platform security and user authentication and authorization needs while implementing public domain systems. Assessing security threats, vulnerabilities.
• Ongoing evaluating data Quality to identify process improvement opportunities and business KPIs monitoring. ongoing data reconcilliations.
• Supporting and enhancing business dashboards, apps ongoing basis under supervision of business SMEs and leaders.
• Software development and Business Intelligence experience.
• Partner with Global procurement and Strategic Sourcing on the development, negotiation and approval of workflow change requests.
• Ensuring compliance to Supplier procurement data and systems identified by organization.
• Applies sound, systematic software code, reviews, change management, versioning, release, architecture methodologies in identifying, prioritizing, communicating, and resolving workflow issues and bringing factual insights for decision making.
• Conduct business intelligence building exercises to resolve supplier quality issues.
• Bachelor’s degree in computer science engineering or equivalency.
• Minimum of 2-5 years’ experience in Data Analysis environment.
• Analytical and problem-solving capabilities with the ability to draw insights from data quickly and to define executable actions.
• Strong communication/ influencing skills. Must demonstrate the ability to effectively communicate up/down and across different levels of the organization.
• Must enjoy working in team environment
• Highly motivated and able to build close relationships internally and externally.
• Medical domain preferred.

What you will need:

Preferred Skill:

Qualifications

• Bachelor’s degree in computer science engineering or equivalency.