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Data Analyst​/Engineer

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: CoSourcing Partners - Enterprise-AI and IT Services Company
Full Time position
Listed on 2026-07-26
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Warehousing, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below

Data Analyst/Engineer – Process Intelligence & Process Mining

Platform: Celonis

Environment: Snowflake & Enterprise ERP Systems

Scope: Order-to-Cash (O2C) & Procure-to-Pay (P2P)

Full-Time, W2, hybrid from Chicago

The Data Analyst/Engineer – Process Intelligence & Process Mining will help build a new process-intelligence capability from the ground up, with an initial focus on connecting enterprise ERP data through Snowflake into Celonis and creating actionable visibility into either the O2C or P2P process. The person will take ownership of transforming complex ERP data into a reliable Celonis process/data model, constructing the required event & analytical structures, and developing PQL-based KPIs & dashboards that reveal process inefficiencies & performance opportunities.

This role requires enough technical depth in SQL, relational data structures, ERP data, data transformation, and integration to independently build & troubleshoot the analytical foundation supporting process mining. Equally important, the person must have practical process-mining experience and be able to translate technical data into meaningful process insights rather than simply building pipelines or reports.

The successful candidate will work collaboratively with business and technical stakeholders as the organization establishes this capability from scratch, with another engineer expected to support the complementary O2C or P2P process. Over time, the work should establish a repeatable foundation for expanding process intelligence into additional processes and use cases.

Purpose: This role offers the opportunity to build a process-intelligence capability from its earliest stage rather than simply maintain an established analytics environment. The person will directly connect enterprise ERP data to Celonis and use process mining to reveal how critical O2C or P2P processes operate, where inefficiencies exist, and where the business should focus improvement efforts.

Growth: The successful candidate will deepen expertise across Celonis, Snowflake, ERP data, process mining, PQL, process/data modeling, and business-process analytics while helping establish a new capability from scratch. The role provides the opportunity to move beyond dashboard development into end-to-end ownership of how raw operational data becomes a process model, how performance is measured, and how process insights are communicated and scaled.

Motivators: This opportunity is particularly suited to someone who enjoys taking an ambiguous process problem and building the analytical solution needed to make it visible and measurable. The person will have meaningful ownership—from connecting and transforming source data through developing the Celonis model and ultimately creating KPIs and dashboards that expose real process inefficiencies and improvement opportunities.

Objectives

1. Establish the Snowflake-to-Celonis Data Connection and Analytical Foundation.

Establish and validate the data connection required to move the relevant ERP-derived data from Snowflake into Celonis for the assigned O2C or P2P process. Understand the underlying ERP data structures, identify the transactions, business objects, timestamps, identifiers, and relationships required for process analysis, and develop the SQL, joins, transformations, and supporting data logic necessary to create a reliable analytical foundation. Validate data completeness and accuracy with appropriate business & technical stakeholders and resolve material data-quality or integration issues that could compromise downstream analysis.

Success will be demonstrated by a stable and repeatable Snowflake-to-Celonis data connection, documented transformation logic, validated source-to-target mappings, and reliable data available for process-model development. AI-assisted SQL development, data profiling, documentation, and troubleshooting tools may be used where appropriate, with all outputs validated against source data & business logic.

2. Build and Validate an End-to-End O2C or P2P Process/Data Model in Celonis.

Build a functioning Celonis process/data model for the assigned Order-to-Cash or Procure-to-Pay process using the…

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