Data analytics & RPA Assistant Manager

Job description

Function purpose:

To plan, strategize Data Analytics and RPA wing
Extract, transform, interpret and analyze data from various sources.
Create dashboards, charts and reports using multiple tools to present relevant information to different stakeholders.
Managing a team of data analysts/BI Engineers.

Duties and Responsibilities:

Planning, strategizing data analysis, retrieving data, PA wing
To recruit and lead a team of Data Analytics & Bi Engineers
Create and maintain scheduled analytical reports focused on business objectives.
Track and analyze trends collected from multiple sources through ETL and BI tools.
Perform data cleansing and data transformation to ensure data integrity.
Collaborate with different departments to collect business requirements and design scalable ETL processes.
Design and manage processes to collect information through an integrated RPA solution.
Understanding reporting and business intelligence best practices.
Collaborate with various stakeholders to identify and design business processes for automation
Set up, test, and monitor automated workflows to ensure business processes function optimally.
Provide good documentation for all processes.
Ensuring quality automation using Quality Assurance (QA) processes and preventing potential bugs.

Qualifications and Requirements:

Bachelor’s degree in Computer Science, Statistics or Engineering.
Minimum 5-10 years of experience.
Expert in writing SQL queries against large data sets.
Experience with BI tools (preferably Power BI).
Knowledge of data modeling with Python is a plus.
Certifications in data analytics/data science is a bonus.
Strong written and oral skills (Arabic and English)
Strong insight for RPA projects and processes
Mastering automation tools, such as Power Automate, UI Automation, or UiPath
Basic knowledge of Machine Learning (ML) and Artificial Intelligence (AI)
Experience with Databases, such as SQL and NoSQL
Strong attention to detail and analytical skills.
Excellent time and project management skills.
Ability to present technical details to a non-technical audience.
Self-motivated, able to work independently and take initiative without always being directed.
Ability to multitask in a fast-paced environment and prioritize the most critical tasks and projects.
Strong data visualization skills, preferably Power BI
Strong integration skills.
Experience managing data warehouse and reporting infrastructure to scale reporting needs while maintaining a robust reporting environment
In-depth knowledge and understanding of data governance best practices
Experience using Big Data tools (e.g. Kafka, S3, data lake, Python, R)