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Remote Celonis Process Mining Jobs (NOW HIRING)

Brillient

Supply Chain SME IV

Silver Spring, MD · On-site +1

Experience with process mining tools (e.g., Celonis or equivalent) and advanced supply chain analytics. * Experience in federal, healthcare, pharmaceutical, or other regulated industry environments.

KPMG LLP

Dynamic Bench

Short Hills, NJ · On-site +1

... Process Mining (Celonis) Experience designing and delivering access governance end-to-end ... of remote and on-site work. Nothing herein shall be deemed to create an employer-employee ...

Graymont

Process Engineer

OR · Remote

Engineering/geology/mining/remote ops/central lab Location United States - Remote Classification Salaried

Graymont

Process Engineer

OR · Remote

Engineering/geology/mining/remote ops/central lab Location United States - Remote Classification Salaried

Ursus Inc

RPA Developer

Salt Lake City, UT · Remote

$35 - $38/hr

Salt Lake City, Utah (Open to Remote, but preference for candidates near UT) DURATION: 6+ Month ... process mining and intelligent automation using RPA, OCR, AI, and ML to drive better business ...

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How much do remote celonis process mining jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for remote celonis process mining in the United States is $25.47, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $29.57 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Celonis Process Mining Specialist, and why are they important?

To excel as a Remote Celonis Process Mining Specialist, you need expertise in process analysis, data analytics, and a background in business operations or IT, often supported by a relevant degree. Proficiency in Celonis software, data visualization tools, and familiarity with SQL or ERP systems are typically required, with Celonis certifications being highly valued. Strong problem-solving, communication, and collaboration skills help you translate analytical insights into actionable business improvements while working remotely with cross-functional teams. These competencies are essential for driving process optimization and delivering measurable value to organizations using process mining solutions.

What are some common challenges faced by remote Celonis Process Mining professionals and how can they be addressed?

Remote Celonis Process Mining professionals often encounter challenges such as aligning stakeholders across departments, managing data security, and maintaining clear communication with clients and team members. To address these, it is important to establish regular virtual check-ins, utilize secure data-sharing protocols, and leverage collaboration tools for project tracking. Building relationships with key stakeholders and setting clear expectations early on can also help ensure project success and smooth remote collaboration.

What is a Remote Celonis Process Mining professional?

A Remote Celonis Process Mining professional is an expert who uses Celonis, a leading process mining software, to analyze, visualize, and improve business processes—all while working remotely. They typically gather and interpret data from company systems to uncover inefficiencies, bottlenecks, and opportunities for automation or optimization. Their insights help organizations streamline operations and make data-driven decisions without the need for on-site presence. Collaboration with teams is often managed through virtual meetings and shared digital platforms.

What is the difference between Remote Celonis Process Mining vs Remote Data Analyst?

AspectRemote Celonis Process MiningRemote Data Analyst
Required CredentialsCelonis certifications, process mining knowledgeDegree in Data Science, Statistics, or related field
Work EnvironmentSoftware tools, process analysis platformsData analysis tools, spreadsheets, visualization software
Industry UsageBusiness process optimization, ERP systemsBusiness intelligence, reporting, data-driven decision making
Common Search/ComparisonYesNo

Remote Celonis Process Mining specialists focus on analyzing and optimizing business processes using Celonis software, often requiring certifications in process mining. Remote Data Analysts interpret data sets to inform business decisions, typically needing a background in data science. While both roles involve data analysis, Celonis Process Mining is more specialized in process optimization within enterprise environments, whereas Data Analysts have broader data interpretation responsibilities.

More about Remote Celonis Process Mining jobs
What cities are hiring for Remote Celonis Process Mining jobs? Cities with the most Remote Celonis Process Mining job openings:
What are the most commonly searched types of Celonis Process Mining jobs? The most popular types of Celonis Process Mining jobs are:
What states have the most Remote Celonis Process Mining jobs? States with the most job openings for Remote Celonis Process Mining jobs include:
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Remote Celonis Process Mining jobs near you
Infographic showing various Remote Celonis Process Mining job openings in the United States as of May 2026, with employment types broken down into 6% Full Time, 88% Part Time, and 6% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $52,986 per year, or $25.5 per hour.
Supply Chain SME IV

Supply Chain SME IV

BRILLIENT CORPORATION

Silver Spring, MD • On-site, Remote

Full-time

Posted 6 days ago

Job description

Brillient Corporation is seeking a highly analytical and detail-oriented professional to support data analytics and operational improvement initiatives within a dynamic regulatory environment. This role will focus on developing and enhancing cross-operational dashboards, identifying data-driven insights, and improving system interoperability to strengthen incident, recall, and shortage operations. The ideal candidate will have experience in data systems analysis, process improvement, and leveraging advanced tools—including artificial intelligence—to drive efficiency and informed decision-making.

  • Review and assess the Online Reporting Analytics and Decision Support System (ORADSS) and other potential resources, including artificial intelligence tools, to identify efficient solutions for data management, tracking, and analytics.
  • Analyze and evaluate system interoperability with existing data management platforms, including the Recalls Enterprise System (RES) and Compliance Management System (CMS).
  • Design and propose processes and system solutions that enable identification of operational gaps and opportunities for improvement.
  • Develop strategies to enhance surveillance and targeting of firms involved in the manufacture and distribution of unsafe or ineffective drug products.
  • Support the implementation of new processes and systems, including providing staff training and guidance.
  • Create, track, and maintain cross-operational dashboards for incidents, recalls, and shortages.
  • Monitor and evaluate the effectiveness of implemented processes and systems, recommending adjustments as needed.
Required Education and Qualifications
  • Bachelor’s degree in a relevant field and a minimum of sixteen (16) years of progressively responsible, related professional experience.
  • US Citizenship Required
  • Demonstrated experience leading full lifecycle program or project execution, including coordination across multiple stakeholders in complex regulatory or enterprise environments to ensure alignment and successful delivery.
  • Experience supporting supply chain risk analytics initiatives, including descriptive and predictive analytics for identifying, assessing, and mitigating operational risk.
  • Experience applying data science methodologies, including artificial intelligence (AI), machine learning (ML), advanced analytics, risk modeling, and enterprise data management practices.
  • Experience organizing and leading cross-functional teams, with strong communication skills and the ability to coordinate complex stakeholder environments to achieve program objectives.
  • Experience with enterprise ERP systems (e.g., SAP, Oracle, or similar) and integrated supply chain platforms supporting end-to-end operations.
  • Experience developing dashboards, KPI frameworks, and enterprise reporting solutions using advanced BI tools (e.g., Power BI, SAP BusinessObjects, or equivalent).
  • Experience supporting supply chain transformation initiatives in global, multi-site, or complex operational environments.
  • Experience with Lean, Agile, Six Sigma (DMAIC), or similar methodologies for process improvement and operational optimization.
  • Experience with data governance, quality management, and reporting integrity in regulated or enterprise environments.
Preferred Qualifications
  • Six Sigma Certification (Green Belt or higher) with demonstrated application in process improvement initiatives.
  • Advanced degree (Master’s preferred, e.g., MBA or equivalent).
  • Experience with process mining tools (e.g., Celonis or equivalent) and advanced supply chain analytics.
  • Experience in federal, healthcare, pharmaceutical, or other regulated industry environments.
  • Experience with cloud-based data platforms or data lake architectures (e.g., Snowflake or equivalent).

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