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USI-CTS Process Mining Position 3 8 Yrs

Alignity Solutions


Job Location:

Hyderabad - India

Salary: Not provided by the employer
Experience Required: 3-8years
Posted: 15 October 2026 (20 hours ago)
Application Deadline: 12 January 2027
Vacancies: 1 Vacancy

Job Summary

Do you love a career where you Experience Grow & Contribute at the same time while earning at least 10% above the market If so we are excited to have bumped onto you.

If you are a Data Engineer looking for excitement challenge and stability in your work then you would be glad to come across this page.

We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long-term project. Here are a few details.

Check if you are up for maximizing your earning/growth potential leveraging our Disruptive Talent Solution.

Role:Process Mining Consultant
Location: Bangalore
Experience:3-8 Years
Work Mode: Hybrid
Type: Contract to Hire
Notice Period:Immediate Joiners


Requirements
Job Description: Process Mining Consultant
Position Summary

We are seeking a Process Mining Consultant to help clients identify process inefficiencies uncover root causes and improve operational performance through data-driven analysis. This role will lead process discovery conformance analysis and improvement initiatives using process mining platforms and enterprise data.

Key Responsibilities
  • Partner with business and technology stakeholders to identify high-value process mining opportunities.
  • Extract transform and analyze event-log data from ERP CRM and other enterprise systems.
  • Develop process models dashboards and performance analyses using process mining platforms.
  • Identify bottlenecks rework compliance exceptions and automation opportunities.
  • Translate analytical findings into practical process improvement recommendations.
  • Facilitate workshops with process owners and support improvement roadmaps.
  • Build executive-ready presentations and communicate insights to technical and nontechnical audiences.
  • Support process redesign automation control improvement and benefits tracking.
  • Document methodologies findings data requirements and implementation outcomes.
Required Qualifications
  • Bachelors degree in business engineering computer science analytics or a related field.
  • 25 years of experience in process improvement business analysis data analytics ERP consulting or process mining.
  • Experience with SQL data preparation and process analysis.
  • Understanding of process mining concepts including event logs process discovery conformance checking and root-cause analysis.
  • Strong analytical problem-solving communication and stakeholder-management skills.
  • Ability to manage multiple priorities in a consulting or project-based environment.
Preferred Qualifications
  • Experience and certified with process mining platforms such as Celonis or SAP Signavio.
  • Knowledge of SAP Oracle Salesforce ServiceNow or other enterprise systems.
  • Experience with Lean Six Sigma BPMN Agile or continuous improvement methods is added benefit
  • Fluent with Python data visualization or automation technologies.
  • Should be fluent and clear in communications


Benefits

CEO Message: Click Here
Clients Testimonial: Click Here


Required Skills:

Key Responsibilities Partner with business and technology stakeholders to identify high-value process mining opportunities. Extract transform and analyze event-log data from ERP CRM and other enterprise systems. Develop process models dashboards and performance analyses using process mining platforms. Identify bottlenecks rework compliance exceptions and automation opportunities. Translate analytical findings into practical process improvement recommendations. Facilitate workshops with process owners and support improvement roadmaps. Build executive-ready presentations and communicate insights to technical and nontechnical audiences. Support process redesign automation control improvement and benefits tracking. Document methodologies findings data requirements and implementation outcomes.