Process Intelligence Consultant
Start Date: ASAP
Duration: 2-month initial contract with long-term extension
Daily Rate: £600 - £650 per day outside IR35 Summary We are looking for a Process Intelligence Consultant who combines deep technical process-mining
and data analysis skills with business consulting experience. You will identify the questions worth
asking, investigate client operations and turn findings into practical business recommendations,
working across engagements with our professional services clients alongside data engineers and
process experts. Requirements
- Proven process-mining consulting delivery. You have personal expertise in using operational event data to investigate business problems and help clients act on your findings.
- Strong business consulting skills. Structure ambiguous problems, learn a client's value chain quickly, facilitate workshops and explain recommendations to C-Suite stakeholders.
- Substantial hands-on platform expertise. Confident building models, queries and analyses independently in tools like Celonis, QPR ProcessAnalyzer, SAP Signavio, UiPath Process Mining or a comparable platform.
- Strong SQL and practical Python skills. Able to join, transform and interrogate operational datasets and validate the results.
- Sound process-modelling judgement. Understand case definitions, event granularity, timestamps and data quality, including incomplete cases, parallel activity and the distinction between elapsed time and working effort.
- Commercial judgement and analytical rigour. Connect findings to business outcomes, test alternative explanations and communicate uncertainty. Produce reproducible work and handle confidential data carefully.
- Lead analytical investigations. Identify business questions, formulate hypotheses and decide which analyses will produce useful answers.
- Work directly in process-mining tools. Build analytical models, write queries and investigate process variants, delays, rework, handovers and exceptions.
- Connect data to business behaviour. Compare performance across work types, teams and organisational units, and investigate the reasons for differences.
- Work with clients and data engineers. Define data requirements, validate process models and lead client workshops to test findings against operational reality.
- Develop recommendations and business cases. Quantify opportunities to improve service, capacity, cost, working capital and control, with clear assumptions.
- Measure results and improve our methods. Establish baselines, track benefits and develop reusable analyses, contributing to ongoing process simulation work.
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