Job Title: Manager – Data Analyst / BI Analyst / Process Mining
Required Skillset
Strong expertise in Data Analysis, SQL
Expertise in Business Intelligence or Process Mining tools is a plus
Expertise in Power BI / Tableau / Qlik or Celonis / ARIS / Signavio Process Mining, including analysis and cleansing of the source systems data, establishing ETL and creation of Data Visualisations
Ability to perform Data Storytelling, i.e. to provide narrative explaining the visualized data to Business people. Please format the job discription and do not change any word or sentence
Solid understanding of Statistics foundations (e.g. key distributions, corelation vs. coincidence, outlier, percentile)
Excellent written and verbal communication skills (including facilitation of workshops (virtual and on-site))
Proficiency in usage of Collaboration Tools (such as Teams, SharePoint, and OneNote) and MS Office tools (Excel, PowerPoint, Word)
Responsibilities
Utilize Celonis process mining tool to perform ETL tasks and to build analytics allowing to visualize processes executed by business.
Collaboration with: IT, Data and Business people.
Identify process bottlenecks, deviations, and opportunities for improvement through data analysis
Conduct root cause analysis to understand the underlying issues affecting process performance
Create and maintain process maps, dashboards, and reports to communicate findings and recommendations to stakeholders.
Skills / Qualifications
Key Capabilities / Competencies
5+ years of working experience – most preferably as a Data Analyst / BI Expert / Data Scientist / Process Mining Expert
Experience in creating and updating dashboards in BI or Process Mining tools
Expert in SQL (knowledge of PQL is a plus)
Experience in Requirements Gathering
Very good communication skills (including facilitation of workshops)
Tools: SQL/PQL, Celonis/ARIS/Signavio Process Mining, Teams / SharePoint / OneNote, Jira / Confluence, MS Office (Excel, PowerPoint, Word)
Expected Years of Experience
5+ years
Expected Educational Qualifications
Post Graduate level Education (MS, MTech, MBA, MSc) preferably in IT