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)
Job Requirements:
- Education:
- Experience:
- 4-6 Years of Experience
- Working knowledge of best practices in information technology management.
- ITIL and service management background.
- Computer Skills:
- Business Intelligence Systems
- Data Reporting Tools (SQL, PL/SQL).
- Data Statistics Tools and Techniques
- Strong SQL / PLSQL knowledge
- MS Office Suite (Advanced)
- Languages: