Power BI Developer

Woking, United Kingdom

Applications have closed

NielsenIQ

We’re unrelenting in our pursuit of the most detailed data sets, measuring every consumer transaction to deliver the knowledge that every business needs to drive growth.

View company page

Job Description

REF23769Q

We are looking for a seasoned data modelling expert who is proficient in PowerBI and associated competencies, such as data visualization, DAX Studio, ALM toolkit and VertiPaq analyzer to help deliver a best-in-class business intelligence experience for our external customers and internal data consumers. Experience with database technologies and SQL is desirable.

Responsibilities

  • Develop high quality BI solutions across different business areas
  • Cooperation across both technical and operations teams to deliver maximum value for the business
  • Assist in-house BI team to develop quality solutions, acting as a technical leader
  • Follow data modelling best-practise
  • Adhere to enterprise security and architecture standards where appropriate
  • Monitor, collect and document key metrics for performance analysis purposes
  • Resolution of performance bottlenecks
  • Reporting to Group IT Director

Qualifications

  • Experience of data modelling for PowerBI solutions
  • Excellent teamwork, interpersonal and communication skills across a wide range of both technical and non-technical users
  • Demonstrate high proficiency in developing PowerBI dashboards, reports and solutions
  • Ability to prioritize, coordinate and investigate potentially complex technical issues in the BI space

Our Benefits

  • Flexible working environment
  • Health insurance
  • Parental leave
  • Life assurance
  • Private medical coverage 
  • Life insurance package 
  • Multisport Card 
  • Participation in Social Benefits Fund  

 

 

Additional Information

All your information will be kept confidential according to EEO guidelines.

About NielsenIQ

NielsenIQ is a global measurement and data analytics company providing the most complete and trusted view of consumers and markets in 90 countries covering 90% of the world’s population. Focusing on consumer-packaged goods manufacturers and FMCG and retailers, we enable customers to defy what’s possible. How? We combine unparalleled datasets, pioneering technology, and the industry’s top talent to create insights that unlock innovation. Join us and change the landscape.

Learn more at: www.niq.com

Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook

Our commitment to Diversity, Equity, and Inclusion

NielsenIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us.

We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide.

Learn more about how we are driving diversity and inclusion in everything we do by visiting the NielsenIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion/

Tags: Architecture Business Intelligence Data Analytics Data visualization Power BI Security SQL

Perks/benefits: Equity Flex hours Health care Insurance Medical leave Parental leave

Region: Europe
Country: United Kingdom
Job stats:  4  1  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.