Introduction

Act as Focal Point and provide business process support / problem resolution to ensure that end-users are able to execute their project tasks in SAP and other VP systems in accordance with set timelines and communicate business requirements and system changes to ICT to ensure efficient and effective utilization of the systems.

What are you going to do

Co-ordinate first line support to Engineering Departments of PEPS end-users to ensure that VP Systems operational support is provided to meet the end-users requirements
Prepare Business cases and detailed business requirements to implement new improvement initiatives and obtain "buy-in" from SME's / stakeholders for the automation of business process.
Conduct gap and data analysis on business processes to identify bottlenecks, constraints, dependencies, risks and opportunities for improvement, automation and integration between SAP PS, ES and relevant modules and systems.
Liaise with ICT on new requirements, current and future system support needs to ensure enhancement of functionalities and optimal utilization of all system.
Facilitate in resolving cross-functional business analysis issues across VP and other directorates to enhance departmental and organizational processes and procedures.
Coordinate User Acceptance Test (UAT), data migration of SAP PS modules and all systems in PEPS Directorate.
Provide SAP data and perform data integrity check to conduct data analysis of business processes performance and maturity
Data modeling: Develop custom data models and algorithms to apply to data sets.
Business Process and workflow (SharePoint)
Software Engineering Skills

Bachelor or Master level degree in Business, Computer, Information Science or a related field.
Eight years (8) years of experience in a business environment with specific exposure in Business Process and Data Analysis relating to Project Management required, preferably in oil and gas industry.
Must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building, and implementing models, using/creating algorithms, and creating/running simulations.
Experience in statistical and data mining techniques (Data Mining, Cleaning and Munging) to mind and analyze data from company databases, ERP, and other legacy data sources/systems to drive optimization techniques and business strategies.
Experience on Data Visualization, dashboard and Reporting using Data Visualization Tools such as (Power PI, Tableau, SAS, Python, etc.) with experience using web services and clouds tools.
Experience in business process analysis, modelling, notation, process improvement methodologies, optimization strategies and statistical process control.
Experience in documentation and diagramming approaches used to describe typical business components including entity relationship diagrams, process diagrams, and workflow diagrams.
Thorough understanding of Business Process management and ability to plan / conduct study and document the results.

Closing: July 23, 2026

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Vacancy reference: CR-290991

MUA

Corporate recruiter

Muhammad Umair Afzal

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