CN - Strategy - MC - SC&O - BPM Consultant

Process Mining Data Engineer

Find endless opportunities to solve our clients toughest" challenges, as you work with exceptional people, the latest tech and leading companies across industries.

Practice: Operations & Process Transformation,

Function: Supply Chain and Operations,

Business Unit:Strategy

& Consulting, Global Network I

Areas of Work:

Process Mining

Level:Associate

/ Senior Analyst / Specialist / Senior Manager |

Location:Gurugram, Mumbai, Pune, Bengaluru, Chennai, Hyderabad, Kolkata |

Overall Relevant Exp:4 -10 years+

Explore an Exciting Career at Accenture

Are you an outcome-oriented problem solver? Do you enjoy working on creating data models ? Does working in an inclusive and collaborative environment spark your interest?

Then, is the right place for you to explore limitless possibilities.

As a part of our practice, you will help organizations reimagine and transform their supply chains for tomorrow"with a positive impact on the business , society and the planet.

Together, let's innovate, build competitive advantage, and improve business, and societal outcomes, in an ever-changing, ever-challenging world. Help us make supply chains work better, faster, and be more resilient, with the following initiatives:

As a Data Engineer - Process Mining, you will play a crucial role in designing, developing, and maintaining data pipelines , data models for process mining projects. You will work closely with business stakeholders, analysts, and technologists to collect, transform, and analyze process data to uncover insights and drive process improvement initiatives.

Key Responsibilities:

Be the Design and implementation engineer who can build data pipelines and data models for process mining projects,"including data collection,"data transformation,"and data loading.

Creating and maintaining an ETL layer for process mining with best practices

Develop and maintain process data models to support process analysis and visualization.

Analyse and process data using process mining tools such as C elonis ," Signavio ,"and Power automate Process Mining.

Collaborate with business stakeholders to identify process improvement opportunities.

Develop and implement process improvement solutions based on process mining insights.

Document and maintain process mining documentation.

Aid and assist in dashboard development of process mining using tools like Celonis , Signavio etc.

Contribute to business development initiatives and display ability to solve complex business problems.

Bring your best skills forward to excel in the role:

Strong analytical skills to reach clear-cut, methodical solutions.

Ability to solve complex business /technical problems and deliver client delight.

Excellent communication, interpersonal and presentation skills

Cross-cultural competence with an ability to thrive in a dynamic environment.

Ability to lead technical team in all type of conditions.

Read more about us.


Qualifications

Your experience counts!

Bachelors degree in computer science,Data Science,or a related field.

MBA from tier 1 B school is an added benefit.

4 + years of experience in data engineering or a related field.

Experience with data modelling ,data transformation,?and data analysis.

Experience with SQL, MYSQL etc is critical and will be required while creating data models.

Knowledge of data collection approach, data cleansing, data modelling, process discovery, process analysis and insights . Experience on python is an added benefit.

Strong experience with process mining tools such as Celonis , Signavio ,and Power automate Process Mining.

Certified expertise as data analyst for process discovery and mining tools like Celonis , Signavio , Power automate process mining etc

Good understanding/experience of process mining in SAP transformations or if you have supported mining/process design/journey definition initiatives in SAP projects.

Strong communication skills, especially around breaking down complex structures into digestible and relevant points for a diverse set of clients and colleagues, at all levels.