ExxonMobil

Process Modeling Analyst

ExxonMobil
Bengaluru/Bangalore
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Min. 3 yearsMin. 3 years

Job Description

Process Modelling Analyst

 

About us

 

At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.

 

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. 

 

We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together.

What role you will play in our team

The Process Modeling Analyst will support business process management and process modeling activities using tools including Celonis and/or SAP Signavio. This role works with IT, data teams, process owners, and business stakeholders to model processes, analyze process data, and translate business rules that support process improvement and operational decision-making.

What you will do

- Apply BPM methodology to document, analyze, and improve business processes.
- Create and maintain process models, process maps, workflows, business rules, and related documentation.
- Analyze process data, validate data quality, identify inconsistencies, and support issue resolution.
- Translate business rules and process requirements into process rules, data requirements, or platform configurations.
- Support process mining activities, including data extraction, transformation, integration, and data dictionary maintenance.
- Merge, clean, and transform data from multiple sources using SQL, ETL tools, Python, or similar methods.
- Identify process inefficiencies, bottlenecks, rework, exceptions, and optimization opportunities.
- Collaborate with global IT, data, and business teams to support process modeling and analytics initiatives.

 

About you

Skills and Qualifications 

- Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Data Science, Information Systems, IT, Engineering, or related field.
- 3–5 years of experience in process modeling, BPM methodology, process mining, data analysis, data engineering, or related fields.
- Hands-on experience or practical exposure to Celonis and/or SAP Signavio BPM/process modeling tools and familiar with process modeling concept.
- Working knowledge of process mining concepts such as event logs, cases, activities, timestamps, variants, bottlenecks, and rework.
- Proficiency in SQL for data extraction, transformation, validation, and analysis.
- Familiarity with ETL processes, data integration, and scripting languages such as Python.
- Strong analytical, problem-solving, communication, and stakeholder management skills.
- Strong English communication skills, with the ability to work effectively with global technical and business teams.
- Ability to work independently and collaborate across global teams.

 

Preferred Qualifications/ Experience

 

- Knowledge of business processes such as Order-to-Cash, Purchase-to-Pay / Procure-to-Pay, Record-to-Report, or Master Data Management.
- Experience with SAP ERP, SAP S/4HANA, SAP BW, SAP HANA, or other enterprise systems.
- Experience creating data dictionaries, source-to-target mappings, process mining event logs, or dashboard requirements.
- Experience with Power BI, Tableau, SAP Analytics Cloud, or other analytics tools.
- Certification or training in BPMN, BPM methodology, process mining, Celonis, SAP Signavio, SQL, Python, or data engineering.
- Experience working in Agile, Scrum, IT project delivery, or global transformation programs.

 

Functional Skills

Data Visualization
Data Modeling
Applied Software Engineering for Data
Data Integration
Data Management

 

 

Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. 

 

Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

Experience Level

Mid Level

Job role

Work location
Work locationBangalore, KA, IN, 560066
Department
DepartmentData Science & Analytics
Role / Category
Role / CategoryData Science & Machine Learning
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceMin. 3 years

About company

Name
NameExxonMobil
Job posted by ExxonMobil

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