Do you thrive uncovering business insights in large and complex datasets?

Oppdragsgiver: Capus

Capus er et av landets ledende og mest økonomisk solide kompetansemiljøer innen rekruttering. Selskapet består av erfarne rådgivere, en av markedets største Research-avdelinger og et dedikert Bid & Marketing-team. Vi leverer kvalitetssikrede rekrutteringer av ledere og fagspesialister. Vår kundeportefølje representerer et tverrsnitt av norsk næringsliv og offentlige virksomheter.

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Process Mining Analyst – Finance Domain

Do you want to work for the most ambitious company in the international maritime industry, shaping its future, and challenging the status quo?

Wilhelmsen is now looking to hire a Process Mining Analyst, to join their Finance Technology team. The position will report to Head of Data & Analytics, Finance Technology, and will work cross-functionally with the IT teams both across the organisation and towards business stakeholders.

What will you be some of your responsibilities?

The process mining analyst will have the overall responsibility to design, develop and maintain processes in our dedicated process mining tool Celonis, which allows us to derive different process patterns and identify deviations. You will work on a detailed level with data-modelling, both in Celonis, but also in our cloud Datawarehouse Snowflake, to enable process analysis in an efficient way. Moreover, you will build and model processes in Celonis, perform gap-analysis, build reports and implement KPI’s as defined by process analysts, BPM’s and other key stakeholders. The right candidate thrives to uncover business insights in large and complex datasets and is comfortable to model and transform data using established data preparation and process mining analysis techniques.

Who are you?

You have minimum 3+ years of experience with Celonis, building processes, transforming and visualizing data as well as building and maintaining data pipelines. You have a bachelor’s degree from business/finance, computer science, engineering or similar. Previous job experience should include process analysis and improvement projects as well as competence on common data modelling languages like SQL, Python etc. Your analytical skills are strong and you’re curious about technology and how to leverage this to support process analysis and optimisation. You communicate well in English.

What Wilhelmsen can offer:

We can offer a great culture and work environment, career development, work-life balance and a job that is both challenging and stimulating. Our organization thrives by using modern tools and is eager to utilize the business opportunities that come with new digital tools and skills.

Beyond this, we have benefits that include, but are not limited to:

  • Flexible working arrangements
  • Unique pension plan with attractive employer contributions
  • Company cabins?(Norway, Spain & Sweden)
  • Social events year round (wine tastings, cooking classes, yoga, dance, and rock- climbing lessons etc.)
  • Sports club membership that includes sporting and cultural activities (group training in our gymnasium, sailing, theatre, and concert tickets etc.)
  • Shopping discounts through the sports club membership


If this sounds interesting and you would like to join us as we continue to shape the maritime industry, please let us know why you are our new Process Mining Manager!
We will review applicants on a rolling basis. 

Om arbeidsgiveren

Founded in Norway in 1861, Wilhelmsen is now a comprehensive global maritime group providing essential products and services to the merchant fleet, along with supplying crew and technical management to the largest and most complex vessels ever to sail. Committed to shaping the maritime industry, we also seek to develop new opportunities and collaborations in renewables, zero-emission shipping, and marine digitalization. Supporting a diverse and inclusive workplace, with thousands of colleagues in more than 70 countries, we take competence, sustainability, innovation, and unparalleled customer experiences one step further.

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