Data Engineer with Celonis

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Job Title: Data Engineer / Data Scientist

Background: Celonis Process Mining as a Data Engineer/ Data Scientist

Experience: 5+ Years

Location : Remote

Required Technical Skills

• Minimum 2 years of experience in Celonis Process Mining as a Data Engineer/ Data Scientist
• Experience with ETL / ELT and BI tools (e.g., Tableau, Power BI etc.)
• Experience in SQL / PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. Joins, union, windows functions etc.
• Knowledge of process improvement techniques / tools and Process Mining / Analytics.
• Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc)

Desired Technical Skills

• Experience in other Process / Task Mining Tool (e.g Signavio, Software AG, FIQ, Soroco etc)
• Understanding of enterprise systems (ERP, CRM, etc.) OR CRM/Order Management Systems (Preferably SAP / Oracle / MS Dynamics/ SNOW/ Salesforce / Remedy).
• Experience in ML modelling via Python or R will be plus.

Responsibilities

• Experience in Data Connection, extraction from different systems including both cloud based and On-Premise systems (e.g. Azure, Oracle, SAP, BMC, SNOW, Salesforce etc.) and transformation & loading into the process mining tool.
• Support validation of data (counts, values between source systems and process mining tool).
• Understanding of process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes.
• Experience / basic knowledge working with ERP and other similar systems (e.g. Azure, Oracle, SAP, BMC) & Understanding of basic data structure, reports, formats etc. from multiple source systems
• Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities (desired).
• Understanding of data modelling, data structure, reports, formats etc. from multiple source systems.
• Process mapping and identifying non value add steps to create lean and agile processes (desired)
• Basic knowledge on ERP processes like, FNA/Procurement/Banking / Insurance / HRO etc.
• Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests.
• Critical thinking and creative problem-solving skills, as well as the ability to apply theoretical concepts and best practices to solve business problems
• Basic understanding of IT application lifecycle and methods
• Able to visualize & create dashboards on KPIs in line with client expectations