Hybrid Data Analyst — Process Mining & Insights

af; Warszawa; Hybrid; PLN 110,000 - 170,000; Full time

Benefits offered by this job

Hybrid work mode

Remote expenses covered

Private medical care

Lunch card

Pension plan

Multisport card

Cafeteria platform

Life insurance

Car parking

Training opportunities

Job summary

edrone is seeking a Data Analyst - Process Mining to transform raw process data into actionable insights and drive operational excellence. You will identify inefficiencies, develop dashboards, and provide data-driven recommendations for business transformation.

The role requires 3–5 years in financial services, proficiency in Process Mining with Celonis, SQL, Python, PQL, and BI tools, and a BSc in a relevant field. Hybrid work, private medical care, and development opportunities are offered.

Qualifications

• 3–5 years of experience as Data Analyst in financial services.
• Proficiency in Process Mining technologies (Celonis).
• Hands-on PQL, SQL, Python, and BI tools.
• Expertise in process mining techniques, including query and dashboard design.
• Advanced English language skills (C1 level).
• BSc degree in Management, IT, Project Management, Finance, or Business.

Responsibilities

• Analyze Process Mining data to identify inefficiencies, bottlenecks, and compliance deviations.
• Develop interactive dashboards and reports to provide visibility into key business metrics.
• Translate complex analytical findings into actionable recommendations for business transformation.
• Collaborate with stakeholders to define analytical requirements and validate process outcomes.
• Validate analytical data to ensure high levels of accuracy and reliability in all analyses.
• Measure process performance improvements to track the impact of optimization initiatives.

Skills

Process Mining

Celonis

SQL

Python

BI tools

PQL

Data analysis

Education

Bachelor's degree in relevant field

Job description

edrone is seeking a Data Analyst - Process Mining to transform raw process data into actionable insights and drive operational excellence. You will identify inefficiencies, develop dashboards, and provide data-driven recommendations for business transformation.

The role requires 3–5 years in financial services, proficiency in Process Mining with Celonis, SQL, Python, PQL, and BI tools, and a BSc in a relevant field. Hybrid work, private medical care, and development opportunities are offered.