Client Engagement Process Optimization Senior Analyst

New
K
KrakenFinTech, Crypto
BrazilFull-TimeSenior
Salary not disclosed
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Job Details

Experience
2+ years
Required Skills
SQLTableauLooker

Requirements

  • 2+ years in process analysis, process optimization, business analysis, or operational excellence
  • Experience in fintech, crypto, or high-volume customer operations preferred
  • Hands-on experience with Celonis or equivalent process mining tools (Signavio, Minit, UiPath Process Mining)
  • Ability to build process models, dashboards, and conformance checks using process mining tools
  • Strong data analysis skills
  • Proficiency with SQL, data extraction, and working with event logs from multiple source systems
  • Ability to translate data findings into clear business recommendations
  • Comfortable presenting to both technical and non-technical audiences
  • Understanding of process optimization methodologies and frameworks (Lean, Six Sigma concepts, or similar)
  • Analytical mindset with attention to detail and a bias for action
  • Familiarity with BI/visualization tools (Looker, Mixpanel, Tableau, or similar)

Responsibilities

  • Provide process mining support to CE Ops teams to understand workflows, identify improvement opportunities, and measure change impact.
  • Build and maintain process models for critical operational flows: ticket routing, client intake, escalation paths, and resolution workflows.
  • Run conformance checks to identify deviations between designed processes and actual execution, quantifying the gap.
  • Develop dashboards and visualizations that surface bottlenecks, rework loops, and throughput issues in real time.
  • Conduct root cause analysis on process inefficiencies, applying the 80/20 principle to focus on the highest-impact findings.
  • Connect Celonis to key data sources and build reliable event logs to expand process mining coverage across CE.
  • Deliver regular process health reports with clear, data-backed recommendations for improvement.
  • Take identified process improvement opportunities from analysis to implementation, designing, documenting, and rolling out to-be flows.
  • Work with operational teams to validate to-be process designs, manage change, and ensure successful adoption.
  • Quantify expected vs. actual impact of implemented changes using process mining baselines and post-implementation monitoring.
  • Use process mining data to identify and prioritize automation candidates, surfacing workflows where automation will have the highest impact.
  • Support the Process Optimization Specialist in scoping automation use cases by providing process data, volumetrics, and baseline measurements.
  • Act as the process mining resource for CE Ops teams, helping them understand workflows, identify inefficiencies, and build cases for change.
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