Data analytics & RPA Assistant Manager

30 سبتمبر، 2022

0 4 2 دقائق

الوصف الوظيفي

Job Purpose:

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

Duties and responsibilities:

To plan, strategize Data Analytics, Data retrieval, 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.
Work 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 of reporting and business intelligence best practices.
Work with different stakeholders to identify and design business processes for automation
Set up, test, and monitor automated workflows to ensure that business processes function at optimum efficiency.
Ensure proper documentation for all processes.
Ensuring quality automation using Quality Assurance (QA) processes and prevent any potential bugs.

Qualifications & Requirements:

Bachelor’s degree in Computer Science, Statistics, or Engineering.
Minimum 5-10 years of experience.
Expert at writing SQL queries against large data sets.
Experience with BI tools (preferably Power BI).
Knowledge of data modeling using Python is a benefit.
Certifications in Data Analysis/ Data Science is a bonus.
Strong written and oral skills (Arabic and English)
Strong acumen for RPA projects and processes
Mastery of 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 non-technical audiences.
Self-motivated, able to work independently, and able to 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 help scale reporting needs while maintaining high-performance environment for reporting
In-depth knowledge and understanding of data governance best practice
Experience using Big Data tools (e.g. Kafka, S3, data lake, Python, R)