Data Analytics, Analyst

HybridMidData AnalystJust posted

✦Role summaryAI-generated

This role focuses on building and maintaining data pipelines and web applications on Azure, leveraging Power BI and Power Apps to deliver actionable insights. The analyst will also ensure platform security, perform data quality checks, and support continuous improvement of business KPIs.

Skills required

Data engineering Power BI Power apps Sharepoint Azure Web apps Machine learning Security Data quality Data reconciliation Software engineering Business intelligence Data analysis

About this role

Work Flexibility: Hybrid

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.

What you will need:

Required Skill:

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.