We are seeking a highly analytical and technically skilled Process Mining & Data Analytics Consultant with expertise in SQL, SIGNAL, Data Analysis, Process Mining, and SAP business processes. The ideal candidate will play a key role in transforming enterprise data into actionable business insights by analyzing process performance, identifying inefficiencies, and driving process optimization initiatives.

The candidate will work closely with business stakeholders, process owners, SAP functional teams, and technical teams to extract, transform, analyze, and visualize operational data while supporting digital transformation and intelligent automation initiatives.

Experience with SAP ECC, S/4HANA, TM, EWM, Ariba, Process Mining platforms, ETL systems, Agile methodologies, and emerging technologies such as AI, Python, and LLM-based solutions will be highly desirable.

Key Responsibilities:

Data Analysis & Process Intelligence:

- Extract, transform, and analyze large datasets from enterprise systems.

- Develop insights into business processes using Process Mining techniques.

- Identify:

1. Process bottlenecks

2. Process deviations

3. Compliance violations

4. Automation opportunities

5. Cost reduction initiatives

- Analyze end-to-end business process flows across multiple systems.

- Support data-driven decision-making initiatives.

SQL & SIGNAL Development:

- Write complex SQL queries for:

1. Data extraction

2. Data validation

3. Data transformation

4. Data reconciliation

5. Reporting

- Utilize SIGNAL for:

1. Data modeling

2. Process analytics

3. Data integration

4. Business intelligence use cases

- Optimize query performance and data processing efficiency.

- Build reusable analytical datasets and reporting structures.

Process Mining Implementation:

- Support implementation and maintenance of Process Mining solutions.

- Develop process mining dashboards and analytical models.

- Create event logs and process visualizations.

- Monitor process KPIs and operational performance metrics.

- Conduct process conformance and variance analysis.

- Collaborate with business stakeholders to identify process improvement opportunities.

Data Integration & ETL:

- Work with ETL pipelines and enterprise data integration frameworks.

- Integrate data from:

1. SAP Systems

2. ERP Applications

3. Data Warehouses

4. Cloud Platforms

5. Third-party Systems

- Ensure data quality, consistency, and integrity.

- Support data migration and transformation initiatives.

SAP Process Analysis:

- Analyze process flows across SAP environments:

1. SAP ECC

2. SAP S/4HANA

3. SAP TM (Transportation Management)

4. SAP EWM (Extended Warehouse Management)

5. SAP Ariba

- Understand transaction flows and business process dependencies.

- Collaborate with SAP functional consultants and business users.

- Support process optimization initiatives within SAP landscapes.

Reporting & Visualization:

- Develop dashboards and reports for business stakeholders.

- Present insights using visualization tools and analytical platforms.

- Design KPI frameworks and executive-level reporting.

- Translate technical findings into business-friendly recommendations.

Agile Delivery & Stakeholder Collaboration:

- Participate in Agile/Scrum ceremonies:

1. Sprint Planning

2. Daily Standups

3. Sprint Reviews

4. Retrospectives

- Work closely with:

1. Product Owners

2. Business Analysts

3. SAP Consultants

4. Data Engineers

5. Technical Architects

- Contribute to user story refinement and solution design discussions.

Automation & Emerging Technologies:

- Support intelligent automation initiatives.

- Explore process automation opportunities using:

1. Python

2. AI Tools

3. Machine Learning Concepts

4. LLM-based Workflows

- Assist in integrating AI-driven insights into business process analysis.

- Support innovation and continuous improvement initiatives.

CI/CD & DevOps Collaboration:

- Participate in deployment and release management activities.

- Utilize CI/CD tools such as:

1. GitHub Actions

2. Git

3. DevOps Pipelines

- Support version control and deployment automation practices.

Required Technical Skills:

Data & Analytics:

- SQL (Advanced)

- SIGNAL

- Data Analysis

- Data Modeling

- Data Visualization

- Reporting & Dashboarding

Process Mining:

- Process Mining Concepts

- Event Log Analysis

- Process Discovery

- Conformance Checking

- KPI Monitoring

- Process Optimization

Databases:

- SQL Server

- Oracle

- PostgreSQL

- SAP HANA

ETL & Data Integration:

- ETL Concepts

- Data Transformation

- Data Mapping

- Data Quality Validation

SAP Knowledge:

- SAP ECC

- SAP S/4HANA

- SAP TM

- SAP EWM

- SAP Ariba

Development & Automation:

- Python (Preferred)

- API Concepts

- Automation Workflows

- AI & LLM Awareness

DevOps:

- Git

- GitHub Actions

- CI/CD Pipelines

Methodologies:

- Agile

- Scrum

- Customer-Centric Product Development

Preferred Skills:

- Process Mining Platforms (e.g., SAP Signavio Process Intelligence or Celonis)

- SAP Business Process Optimization

- Predictive Analytics

- AI-Powered Process Intelligence

- Data Engineering Fundamentals

- Cloud Data Platforms

- Business Process Management (BPM)

Qualifications:

- Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Analytics, or related discipline.

- Experience working in enterprise data analytics or process mining environments.