Business Intelligence Developer/Engineer/Analyst

You will be part of rather newly established centralized team meaning that you will have an amazing opportunity to be a part of start-up culture where you can influence a lot ways of working and direction we are going, and at the same time feel yourself as a part of big organization, which will support you in your new adventure. As a member of TietoEVRY’s Financial Services’s centralised Data and AI team you will be in close collaboration with the colleagues in all software product units. Your main task is to take a grip on the data assets of our softwares and services and transform that to customer and business value. We expect you to have passion to develop business intelligence solutions, which support our customers both to get a view on their business and to make an optimal business decision.   

As a person you are: 

• You embrace learning opportunities and are not afraid to go out of your comfort zone  

• You are self-driven in your work and have a strong “can-do” attitude 

• You are open minded, ready to challenge both things around you and your own views 

• You are in love with data and find fantastic to dig a new insight from it and challenge expert opinion-based statements 

• You have a data related sense of beauty and know how to make a fabulous visualization from boring and endless data rows  

To succeed in this role, you should fulfill:  

Requirements: 

• Master’s Degree in Data Science, quantitative mathematics, statistics, econometrics or other similar academic background  

• At least 3 years practical experience as BI analyst/data analyst or similar role 

• Strong experience in BI tools like Tableau, Power BI (is preferred) or Qlik 

• Experience in working with cloud environments, preferably Azure, or at least AWS and/or GCP 

• Fluency in SQL 

• Hands-on experience working with data acquisition, data processing and data visualization  

• Fluency in English 
   

Not requirements but valuable assets:  

• Experience in advanced cloud data platform system configuration including SQL databases, datalakes, data integration services (like Azure Data Factory) and data analytics platforms (like Databricks)  

• Experience with noSQL databases 

• Fluency in Python and/or R, other programming languages are asset  

• Experience working with financial industry