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RPA Specialist
Tietoevry. Lead and deliver process mining initiatives using Celonis and Microsoft Process Mining (Power Automate Process Mining / Process Advisor), supporting clients across discovery, analysis, and value realization phases.
Tech Stack
Tools & technologiesCloudERPITSMSQL
About the role
Key responsibilities & impact- Lead and deliver process mining initiatives using Celonis and Microsoft Process Mining (Power Automate Process Mining / Process Advisor), supporting clients across discovery, analysis, and value realization phases.
- Design and implement end-to-end data pipelines for process mining use cases, including data extraction, transformation, enrichment, and loading from enterprise systems (e.g., ERP, CRM, ITSM, custom applications).
- Work closely with customers to translate business questions and process improvement goals into analytical requirements, KPIs, and dashboards.
- Build process models, variants, performance analyses, conformance checks, and root-cause analyses tailored to customer-specific scenarios.
- Develop custom dashboards, reports, and insights that clearly communicate findings to both business and technical stakeholders.
- Ensure data quality, consistency, and scalability of process mining solutions through strong data engineering practices.
- Collaborate with automation, analytics, and business teams to identify process optimization and automation opportunities based on mining insights.
- Support proofs of concept (PoCs), pilots, and full-scale deployments, including solution design, storytelling, and value demonstration.
- Contribute to best practices, accelerators, and reusable assets for process mining and intelligent automation offerings.
Requirements
What you’ll need- Hands-on experience with process mining platforms, specifically: Celonis (data modeling, analyses, dashboards, KPIs) Microsoft Process Mining (Process Advisor / Power Automate Process Mining)
- Strong background in data engineering, including: Data modeling for event logs SQL and/or cloud data platforms Data transformation and enrichment for analytics use cases
- Proven ability to design and deliver customer-centric analyses and dashboards, aligned to business objectives and decision-making needs.
- Experience working with complex enterprise data landscapes and integrating multiple data sources.
- Strong analytical mindset with the ability to derive actionable insights from process data.
- Excellent communication skills, with the ability to explain analytical findings to non-technical stakeholders.
- Finnish language proficiency is mandatory.
Benefits
Comp & perks- CAREER DEVELOPMENT: Being part of this team, we guarantee that you keep developing professionally and that you stay in the frontline of intelligent automation business
- MEANINGFUL PROJECTS: Our projects make an impact. We are helping the biggest companies to become data-driven, and you will have an opportunity to develop entire business areas
- HARDCORE PROS: We can proudly say that we have succeeded in building a team of outstanding professionals whose core competencies support each other
- FLEXIBILITY: We offer the flexibility to organize your work the way it suits you the best. We support remote and hybrid working model
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
process miningdata engineeringdata modelingSQLdata transformationdata enrichmentdashboard developmentKPI designroot-cause analysisperformance analysis
Soft Skills
analytical mindsetcustomer-centric analysiscommunication skillscollaborationstorytelling