Business Data Analytics Senior Manager Nahdi

Manage Business Data Analytics Solutions (BI & Data Science Platforms) through overseeing the development & implementation of selected best in class Data & Analytics Modules in order to Enable Faster and Data based Decision Making for all Business Functions.

Extend Data Analytics & Data Mining to all Business Areas & Ensure the efficiency, reliability and best utilization of Data & Analytics Systems by maintaining the standard levels of Data Integrity and adequate end users training.

Accountabilities:

• Lead enterprise-wide Data Analytics and Data Science initiatives, aligning insights and solutions with business goals and best practices.
• Own the delivery of complex, cross-functional analytics solutions, working closely with IT and business teams.
• Design experiments, test hypotheses, and build advanced analytical and predictive models that drive measurable business impact.
• Partner with business stakeholders to understand needs and translate them into high-value analytics use cases.
• Assess, select, and implement BI, Machine Learning, and Analytics platforms, from proof of concept to full deployment.
• Ensure analytics solutions are accurately tested, successfully launched, and continuously monitored for performance and adoption.
• Plan and manage analytics projects end to end, coordinating teams, timelines, risks, and deliverables using Agile where appropriate.
• Define and develop KPIs, dashboards, and reporting frameworks that support performance management and operational optimization.
• Translate business and data requirements into enterprise-wide insights, models, and reports.
• Explore and analyze data to uncover trends, patterns, and opportunities.
• Collaborate with subject matter experts to identify the right data sources, integration approaches, and data standards.
• Ensure data quality, governance, security, and access control across analytics platforms and solutions.
• Communicate insights clearly and confidently to both technical and non-technical audiences.
• Design and deliver training that enables teams and leaders to turn data into actionable decisions.

Work Environment:

• Indoors: 100 %
• Outdoors : 0%
• Working Days: 5 Working Days
• Days off: 2 Days Off
• Working Hours : 8:00 AM 5:00 PM (1 hour break)