All offersGdańskDataAnalytics Consumption Specialist (Power BI)
Analytics Consumption Specialist (Power BI)
Data
Arla

Analytics Consumption Specialist (Power BI)

Arla
Gdańsk
Type of work
Full-time
Experience
Mid
Employment Type
Permanent
Operating mode
Hybrid
Arla

Arla

At our office in Gdańsk Wrzeszcz we do not produce butter or cheese, nor do we conduct milk quality assessment. We are Global Shared Services Center and we deliver tens of projects in Finance, IT, HR, Procurement, Risk, and Compliance.

Company profile

Tech stack

    Power BI

    master

    DAX

    master

    SQL

    advanced

    Azure

    junior

Job description

Online interview
Friendly offer

Do you want to be more than just an engineer? Do you want to be a pioneer, using data to reshape the global dairy industry, driving data literacy, and transforming the way one of the world’s largest dairy companies makes decisions? Then we have the role for you.

 

About the Job

We're in search of an experienced Analytics Consumption Engineer to facilitate and champion the use of data analytics across our organization. This position will require a deep understanding of PowerBI and a passion for communicating complex data in an accessible way. You will join the Intelligent Automation and Data Lakehouse team which is a part of Applications Services in IT Operations. The team covers a lot of strategic areas such as Robotic Process Automation, Data Analytics and Machine Learning. This critical role is vital to ensuring the continued scalability of analytics in Arla Foods and ensuring not only that the solutions that we build keep running, but that they stay relevant by making enhancements to them and also building up the skills of our citizen developers and supporting them with issues faced.

 

Key Responsibilities:

  • Maintain and enhance existing PowerBI dashboards and reports, ensuring accuracy and optimal performance.
  • Provide ongoing technical support to PowerBI users across the organization.
  • Collaborate with developers to understand and support the implemented analytics solutions.
  • Train and mentor users and stakeholders, fostering a culture of data literacy within the company.
  • Ensure smooth operation and reliability of business intelligence tools and systems.
  • Liaise between business users and technical teams, facilitating clear communication and understanding.
  • Contribute to the implementation of data governance practices and assist in the evolution of our analytics strategy.
  • Proactively identify opportunities for performance enhancement and data accuracy.


Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as an Analytics Consumption Engineer, PowerBI developer, or similar role.
  • Extensive knowledge of PowerBI (including designing dashboards and DAX).
  • Good understanding of data warehousing principles.
  • Exceptional problem-solving skills, particularly with complex data issues.


Preferred Qualifications:

  • PowerBI certification.
  • Proficiency in SQL and other data manipulation languages.
  • Familiarity with cloud platforms like Azure.


What do we offer?

At Arla, we value our IT specialists and provide a range of attractive benefits to support your personal and professional growth:

  • Training with industry experts and a comprehensive induction program.
  • Financial support for ongoing education and professional development.
  • Flexibility in working hours and the option to work from home.
  • Medical care and life insurance coverage.
  • Employee Assistance Program offering legal, psychological, health, and financial consulting.
  • Additional perks like gym memberships, vouchers, travel points, and cinema tickets.
  • Home kit including a monitor, laptop, keyboard, mouse, headsets, and webcam.
  • Relaxation breaks to recharge and maintain work-life balance.
  • Relocation allowance for a smooth transition to our vibrant city.
  • Referral program for employees to earn rewards by recommending top talent.
  • Additional holiday days based on length of employment (up to 4 days).
;