About The Position

We're seeking a Process Mining Data Analyst & Operational Improvement Consultant who combines consulting acumen with strong technical expertise in data extraction, transformation, and analysis. You will help clients design and operationalize process intelligence programs-integrating data from multiple systems, mining event logs, and enabling data-driven decisions across the enterprise. You'll thrive here if you can translate business challenges into technical data requirements, connect complex systems, and apply analytical rigor to optimize how work gets done.

Requirements

  • 3+ years of experience in process improvement, data engineering, or analytics consulting.
  • Demonstrated success in delivering process mining or data integration projects at enterprise scale.
  • Strong hands-on proficiency with:
  • SQL (advanced querying, joins, aggregations, performance optimization)
  • PQL and process mining data modeling (desirable)
  • ETL tools (e.g., Alteryx, Python, or similar)
  • API development and data extraction from ERP/CRM systems
  • Familiarity with automation ecosystems (UiPath, Power Automate, Co-Pilot Studio).
  • Understanding of key enterprise processes such as Procure-to-Pay (P2P), Lead-to-Cash (L2C), Order-to-Cash (O2C), and ITSM.
  • Strong facilitation, communication, and stakeholder management skills across business and technical domains.

Nice To Haves

  • Process methodology framekwokLean Six Sigma or Agile experience preferred.

Responsibilities

  • Lead data discovery, mapping, and integration efforts across ERP, CRM, and service systems (e.g., SAP, Oracle, Salesforce, ServiceNow).
  • Build and maintain robust data pipelines to extract, transform, and load event logs into process mining platforms.
  • Develop SQL and PQL scripts to clean, normalize, and join datasets across heterogeneous sources.
  • Configure and validate process mining data models-including activities, variants, KPIs, and case IDs.
  • Design and automate ETL workflows using tools like Alteryx, Python, and native connectors or APIs.
  • Use Celonis, Signavio, or ARIS to identify process bottlenecks, compliance issues, and automation opportunities.
  • Perform diagnostic analyses using event logs to quantify rework, lead time, and SLA performance.
  • Create actionable dashboards and insights through Celonis Analyses
  • Quantify business impact of process improvements through data-driven ROI and value realization frameworks.
  • Translate technical insights into clear business recommendations for executive and operational audiences.
  • Facilitate client workshops and data walkthroughs to align on data definitions, extraction methods, and process KPIs.
  • Mentor client teams in data literacy, process intelligence, and continuous improvement methodologies.
  • Contribute to reusable data extraction templates, integration accelerators, and methodology playbooks.
  • Partner with automation and analytics teams to integrate process mining insights with RPA, AI, and workflow tools (UiPath, Power Automate, Co-Pilot Studio).
  • Stay current with emerging trends in process mining, process intelligence, and AI-enabled analytics to bring innovation to clients.

Benefits

  • Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that includeâ meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Professional, Scientific, and Technical Services

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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