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Data Engineer / Data Scientist ( Process Mining)

This role is for a Data Engineer/Data Scientist (Process Mining) with a contract length of over 6 months, paying $120,000 annually. Key skills include Celonis Process Mining, ETL/ELT, SQL, and Python. A university degree in Computer Science or related field is required.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
545
🗓️ - Date discovered
February 20, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Dallas, TX 75201
🧠 - Skills detailed
#Scripting #Oracle #Agile #"ETL (Extract #Transform #Load)" #Cloud #CRM (Customer Relationship Management) #Complex Queries #Python #SAP #R #Microsoft Power BI #ML (Machine Learning) #Data Engineering #MS Dynamics #Data Science #Lean #Pandas #NumPy #SQL (Structured Query Language) #Azure #Data Mining #Computer Science #Tableau #Matplotlib #BI (Business Intelligence)
Role description
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Assessment & 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

Required Technical Skills

Minimum 1-2 years of experience in Celonis Process Mining as a Data Engineer/ Data Scientist and overall experience of Minimum 5 Years in IT
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.

Professional Skills

Strong communication and presentation skills.
Understanding of business processes.

Soft Skills

Self-starter & Quick learner
Ability to learn new technologies and process improvement techniques
Ability to work in various time zones to support various global rollouts

Education
University degree in Computer Science / Information Technology/ Data Scientist Diploma / Certification
Job Types: Full-time, Contract
Pay: $120,000.00 per year
Benefits:

Dental insurance
Health insurance

Schedule:

8 hour shift

Work Location: In person