Signavio Process Mining Consultants.

About the Role We are seeking a motivated and detail-oriented Process Mining Consultant with a strong foundation in data engineering to join our Business Process Management (BPM) consulting team. The role is suited to professionals with 2–3 years of experience in data integration, analytics, and process mining, with a primary focus on SAP Signavio Process Intelligence and SAP Signavio Process Insights. You will work with client and internal teams to extract, transform, validate, and analyze process data using SQL, Python, and Signavio’s data transformation and query capabilities. You will help convert event-log data into reliable process models, KPIs, dashboards, and actionable insights that support operational improvement and business transformation. Key Responsibilities • Build, configure, and maintain data pipelines for SAP Signavio Process Intelligence, covering data extraction, transformation, loading, validation, and refresh activities. • Connect and integrate data from SAP ECC or S/4HANA and relevant non-SAP source systems using appropriate extractors, connectors, APIs, files, or database interfaces. • Prepare process-mining-ready event logs by defining case IDs, activities, timestamps, attributes, business objects, and process relationships. • Develop and optimize SQL, Python scripts, and Signavio transformation logic to cleanse, join, enrich, and standardize large process datasets. • Author and optimize SIGNAL queries, KPIs, metrics, and analytical logic in SAP Signavio Process Intelligence. • Create dashboards and analytical views to highlight process variants, bottlenecks, rework, SLA breaches, cycle time, touchless processing, backlog, and conformance deviations. • Analyze end-to-end business processes such as Procure-to-Pay (P2P), Order-to-Cash (O2C), and Record-to-Report (R2R), and translate findings into practical improvement opportunities. • Validate data completeness, timestamp consistency, case definitions, business calendars, time-zone logic, and KPI parity against source systems or agreed business rules. • Participate in process discovery, data requirement, KPI definition, and solution design workshops with business and technology stakeholders. • Support testing, defect resolution, deployment, user acceptance testing, technical documentation, and knowledge transfer across the project lifecycle. • Collaborate with process owners, business analysts, data engineers, SAP teams, and senior consultants in an Agile delivery environment. • Contribute to reusable assets such as data models, transformation templates, KPI dictionaries, query libraries, and dashboard accelerators. Required Skills & Competencies • 2–3 years of experience in data engineering, data integration, analytics, or process mining roles. • Hands-on exposure to SAP Signavio Process Intelligence and/or SAP Signavio Process Insights, including data preparation, process views, dashboards, and analytical queries. • Strong SQL skills for querying relational databases, joining complex datasets, and executing data transformations. • Proficiency in Python for data manipulation, validation, scripting, reconciliation, and automation. • Good understanding of ETL/ELT concepts, data modeling, event logs, process mining data requirements, and data quality controls. • Working knowledge of SIGNAL query language. Experience with PQL from Celonis is valuable as a transferable process analytics skill. • Solid understanding of process mining concepts, including cases, activities, timestamps, variants, cycle time, bottlenecks, rework, and conformance. • Understanding of BPMN and business process modeling concepts. • Ability to translate business requirements into technical data specifications, KPI logic, and acceptance criteria. • Strong analytical thinking, problem-solving ability, attention to detail, and focus on data accuracy. • Clear written and verbal communication, with the ability to explain technical findings to business stakeholders. • Ability to work collaboratively in fast-paced, client-facing, and geographically distributed teams. Preferred Experience • Experience with SAP ECC or SAP S/4HANA data structures, particularly for FI, MM, and SD process areas. • Exposure to SAP BTP, SAP Datasphere, SAP Cloud Connector, OData, CDS views, APIs, or on-premise-to-cloud connectivity patterns. • Familiarity with other process mining platforms such as Signavio, Celonis, UiPath Process Mining, ARIS Process Mining, or equivalent tools. • Experience developing operational dashboards, process explorers, variant analysis, case analysis, or conformance views. • Knowledge of core business processes such as P2P, O2C, R2R, Accounts Payable, Accounts Receivable, or IT Service Management. • Awareness of data privacy, role-based access, PII masking, auditability, and environment governance. • Exposure to Agile/Scrum ways of working and tools such as Jira or Azure DevOps. • Knowledge of Lean, Six Sigma, or continuous improvement concepts. Qualifications • Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, Data Science, Business Analytics, or a related discipline. • SAP Signavio certification or relevant training in Process Intelligence, Process Insights, or process mining is preferred. • Additional certifications in SAP, BPM, data engineering, Lean Six Sigma, or Agile are an advantage. What Success Looks Like Reliable Data Foundation Insightful Process Analytics Collaborative Delivery Accurate, traceable, and refreshable event-log data with clear transformation logic and quality checks. Well-defined KPIs, SIGNAL queries, dashboards, and findings that reveal process improvement opportunities. Effective coordination with business, SAP, data, and process teams from discovery through deployment and knowledge transfer.