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Country:  Estonia
City:  Tallinn
Location: 

Tallinn, EE Ostrava, CZ Helsinki, FI

Job Family:  Finance
Job Type:  Full-time (Regular full-time employees)
Division:  Group Functions

Data Analyst, Data, Analytics and Automation

Stora Enso has chosen a new ambitious path for its Finance Delivery function, embracing a next-generation shared service model and new smart technologies for process digitalization. If you are enthusiastic about providing best business support services and can relate to Stora Enso purpose “doing good for the people and the planet”, we invite you to join our journey.

Come grow a renewable world.
And you will grow too.

Our Data, Analytics & Automation team is looking for a professional Data Analyst in Helsinki/Tallinn/Ostrava with good knowledge of data analysis techniques and a strong interest in developing her/his skills in the ever-expanding world of data and analytics. You would belong to global service function using analytics and data to provide valuable insight and meaningful business impact. 

In this role, you have the chance work with all Stora Enso divisions and Group Functions, and have the perfect opportunity create business value with modern analytics skillset. You will witness the digital transformation of a traditional organisation where you have a key role.

 

As our Data Analyst you are responsible for:
•    preparing, analysing and interpreting complex data sets
•    data transformation pipelines development and maintenance
•    exploring large datasets, drawing valid conclusions and presenting them successfully to top management using modern reporting tools
•    supporting our business divisions by creating value adding predictive analytics models, increasing efficiency and strengthening revenue
•    preparing reports, building and maintaining data dashboards, graphs and visualizations
•    working in close liaison with internal and external partners to fully understand data content
•    as input for analyses, capturing, understanding and documenting business requirements using appropriate tools and techniques
•    identifying, evaluating and supporting the implementation of external services and tools to support data validation and cleansing
•    contributing to the work of centre of excellence process mining, including but not limited to event logs creation and conducting joint analysis workshops with the business process experts.

 

What we offer

  • With our values, “Lead and Do what’s right”, we endeavour to set an example in all aspects of our business as well as sustainability.
  • We dare to take the initiative and constantly ask ourselves what more we can do, what can we do better.
  • Key strategic elements for us are innovation, digitalisation, structured processes, and motivated employees.
  • We offer you an excellent opportunity to learn and develop with us, to be part of our transformation journey where we further demonstrate our global platform and deploy data discovery tools turning data into insight.
  • You will be part of a dynamic and ambitious team that drives data-driven decision-making and process automation.

 

Qualifications

In order to succeed in this role, we expect you to have the following skills and competencies:
•    good proficiency with relational databases and SQL (Snowflake, MS SQL)
•    good proficiency in data analysis and statistical tools and data analysis tools (Python, Databricks with PySpark, Power BI / Excel)
•    experience in statistical methodologies and data analysis techniques
•    ability to create predictive analytics models
•    have experiences with or interest towards machine learning
•    ability to produce clear reports and data visualizations
•    knowledge of data modelling, data cleansing, and data enrichment techniques
•    understanding of data protection and privacy issues
•    a degree in a relevant discipline (e.g. business information systems, computer science, economics, statistics)
•    have solution-oriented attitude and business mindset
•    good communication skills in English

Experience with Big Data, Cloud computing technologies (Azure) and SAP is an asset.

 

Additional information 

If you are interested in joining our team, please submit your CV and application via our recruitment system.

The hiring manager, Head of Data, Analytics & Automation, Teet Lõhmus, teet.lohmus@storaenso.com, tel.no +372 514 6700, is happy to answer your questions regarding the position.

 

We believe diversity strengthens our competitiveness and diverse working teams enable us to explore different perspectives and challenge our way of thinking, contributing to better decision-making. We work actively to increase equality and diversity in the workplace and are therefore happy to see applicants contributing to this.


You are the opportunity. Join us. 
www.storaenso.com/careers
 

 

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We believe diversity strengthens our competitiveness and contributes to better decision-making. Diverse working teams help us to explore different perspectives and challenge our way of thinking. We work actively to increase diversity in the workplace and welcome applicants from diverse backgrounds. Stora Enso is an equal opportunity employer and follows non-discriminatory practices.

Based on the location and level of the position the normal recruitment process could in addition entail, video interview, aptitude tests, and pre-employment actions such as; background checks, references, health check-up and drug test as part of the final stages. You will be informed to what is applicable to the role during the recruitment process. 

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