Analyst - Data Science (R-18452)

6 days ago

Oslo, Oslo County, Norway Dun & Bradstreet Full time 900,000 - 1,200,000 per year
Why We Work at Dun & Bradstreet Dun & Bradstreet combines global data and local expertise to help clients make smarter decisions. With 6,000+ people in 31 countries, we are a team of diverse thinkers and problem solvers who all share a common curiosity: to find new ways to turn data into value. If you share this curiosity and want to be part of a future-ready company, come join us Learn more at
As a data scientist and a part of Dun & Bradstreet's Analytics team, you will play a critical role in supporting our data science initiatives, engaging with clients and colleagues to identify business needs, and contributing to the development and implementation of analytical solutions. Additionally, you will use data science techniques to automate and scale our analytic capabilities as well as validate our predictive scores and recommend changes when needed. Responsibilities:
  • Assist in utilizing data science techniques, including supervised and unsupervised machine learning, Natural Language Processing, and graph analysis, to automate and scale internal business processes.
  • Provide technical/subject matter expertise in various analytical tasks, including design, development, validation, calibration, documentation, implementation, monitoring, and reporting.
  • Assist in developing global analytic solutions, including statistical models, based on established best practices, methodologies, and tools.
  • Establish and maintain relationships with key business stakeholders to understand their needs and provide analytical support.
  • Engage with clients and colleagues to identify business needs and contribute to the development, implementation, and management of analytical solutions.
  • Research business issues and recommend solutions, including model inputs and end products, focusing on specific customer needs and use cases.
  • Provide analysis and drive modern solutions and efficiencies in our processes.
  • Collaborate with internal and external stakeholders on data compilation, analysis, and quality assurance.
Requirements:
  • Bachelor's degree in Data Analytics/Data Science, Information Systems, Computer Science, Mathematics or a related field. Master's Degree is a plus.
  • 2+ years of experience with Python, SQL, or similar.
  • Strong technical aptitude with proficiency in Microsoft Office suite.
  • Experience with data visualization tools like Tableau, Power BI, or similar is a plus.
  • Ability to interpret and translate data into meaningful business insight.
  • Results-oriented and capable of working independently while managing multiple priorities.
  • Ability to operate with a sense of urgency and meet critical deadlines.
  • Excellent organization, decision-making, and analytical skills.
  • Excellent verbal, written and interpersonal communication skills.
  • Show an ownership mindset in everything you do; be a problem solver, be curious and be inspired to take action, be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
  • Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.
  • Fluency in English and one of Scandinavian languages.
Why Join Us?
Does this role sound like a great opportunity but you're not sure about making a move? We are really proud of our company and culture and think we have some great things to offer. Some of our benefits in Norway include:
·  Beautiful modern office in central Oslo with frequent social events ·  25 days holiday per year plus 5 extra days off at Christmas and Easter ·  Two paid volunteer days to contribute to causes in your community ·  Sponsored gym membership (up to 250kr per month) ·  Free group training two days a week with personal trainer ·  Free use of training facilities at the office ·  Access to company cabin ·  Canteen with discounted lunch prices ·  A focus on a healthy work life balance with access to great health insurance and pension ·  Access to free services providing support and counselling ·  Flexible working and hybrid working arrangements for most roles
Whilst some roles do have certain requirements which are essential, we try to focus on hiring based on potential rather than CV as much as possible. If you are unsure you fully meet the requirements, we would still love to hear from you

All Dun & Bradstreet job postings can be found at Official communication from Dun & Bradstreet will come from an email address ending in
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#LI-DNI We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please visit

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