Data Analyst Process Mining & AI

Who we are and what do we do?

We are PHOENIX Business Services, an international team of 160 colleagues operating as a Shared Services Centre based in Vilnius. We are people who are passionate about doing things better. Improving. Learning. Developing. Our goal is to support our greatest mission – we deliver health - by providing financial, accounting, procurement and IT services to our company the PHOENIX Group, the largest pharmaceutical and healthcare provider in Europe. Home | PHOENIX group

The heart of the role

As a Data Analyst in Process Mining & AI, you will play a key role in driving process improvement initiatives and leveraging technology to deliver measurable results. The position requires a strong background in Process Mining, data science/engineering, and cross-functional collaboration, along with excellent analytical and communication skills.

Key Responsibilities:

Support the implementation and execution of Process Mining technology and AI across our end-to-end finance processes (Purchase-to-Pay, Order-to-Cash, Record-to-Report).

Work closely with cross-functional teams to analyze process inefficiencies, derive data-driven, actionable insights, and implement improvement measures based on process mining insights (exploratory as well as hypothesis-driven).

Act as the technical expert for Process Mining in a team of process and industry experts advising Shared Service Center clients in end-to-end process improvement.

Implement the technical setup for Process Mining solutions, including data integration, transformation, and modeling of organizational data.

Create customized, state-of-the-art Process Mining dashboards with defined Key Performance Indicators based on business requirements.

Build solutions for process improvement using Artificial Intelligence, including GenAI or Agentic AI.

Key Requirements:

Education: Degree (Bachelor’s or Master’s) in data science, information technology, business administration, or a related field, preferably with a focus on data analytics.

Experience:

3+ years of professional experience in business process analysis or data science/data engineering.

Proven track record in implementing data or Process Mining tools (e.g., Python, Celonis).

Good knowledge of relational databases or programming, e.g., SQL.

Know-how in applying and integrating automation workflows (e.g., UiPath) as well as Artificial Intelligence (Large Language Models, Microsoft Co-Pilot Studio, etc.) is beneficial.

Experience working in shared services or finance operations is beneficial.

Skills:

Solution-oriented thinking and data-driven mindset, i.e., focus on practical resolutions to problems.

Attention to detail and accuracy.

Fluent English (written and verbal). An additional language is an advantage to support group collaboration.

Certifications:

Certification as a technical expert in one of the leading Process Mining tools (e.g., SAP Signavio, Celonis, Aris, Mehrwerk), machine learning/artificial intelligence (e.g., Python, Microsoft Copilot Studio) or automation tools (e.g., UiPath) will be considered a strong advantage.

Certification in Agile, Scrum, or other recognized software development and project management frameworks (e.g., PMP, CAPM, PRINCE2) will be considered a strong advantage.

Personal Attributes:

Analytical mindset and result-oriented approach.

Innovative and forward-thinking, along with a customer-centric focus.

Strong communication, organizational, and time management skills.

Proactive, self-driven, adaptable, and resilient.

Our colleagues value the most

In addition to the usual perks at SSCs, such as private health insurance, annual bonus, public transport compensation, referral bonus, pet-friendly office with entertainment area, team buildings, and social events, we offer: 

Hybrid work from the heart of Vilnius and your beloved home💖

Language courses and other development opportunities.

4 trust days per year. 

Gamified monetary rewards for automation projects. 🎁

Individualized competency development plan for your future career. 

Compensation for your home office.💲

Good luck finding better colleagues than us. APPLY NOW! 

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