Job Description
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 dnb.com/careers.
As part of Dun & Bradstreet’s Data & Analytics team, you will play a critical role supporting data science initiatives, engaging with clients and colleagues to identify business needs, and contributing to the development and implementation of analytical solutions.
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.
Essential Key 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.
- Engage with clients and colleagues to identify business needs and contribute to the development, implementation, and management of analytical solutions.
- Validate the performance of existing risk models, predictive solutions, and recommend changes when necessary.
- Communicate complex concepts clearly and effectively to stakeholders, clients, and senior leaders.
- Establish and maintain relationships with key business stakeholders to understand their needs and provide analytical support.
- Assist in developing global analytic solutions, including statistical models, based on established best practices, methodologies, and tools.
- Research business issues and recommend solutions, including model inputs and end products, focusing on specific customer needs and use cases.
- Bring new projects forward from ideation to proof of concept and impact assessment.
- Work closely with related groups to ensure business continuity.
- Work as a member of one or more agile teams, using lean principles and SCRUM methodology.
- Leverage advanced analytical skills to collect, organize, and deliver large datasets from multiple channels and sources, ensuring comprehensive data integration.
- Provide technical expertise in various analytical tasks, including design, development, validation, calibration, documentation, implementation, monitoring, and reporting.
- Develop visual analytics tools by designing and creating dashboards in tools such as Power BI.
- Collaborate with internal and external stakeholders on data compilation, analysis, and quality assurance.
- Provide analysis and drive modern solutions and efficiencies in our processes.
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 Finland include:
· Two paid volunteer days to contribute to causes in your community
· Access to free services providing support and counselling
· Flexible working arrangements and hybrid work arrangements for most role
· Beautiful modern office at Alvar Aallon katu 5C
· Gym on site which can be used by employees 24/7
· Lunch and sport/culture benefit
· Weekly fruit delivery and company breakfast
All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
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Responsibilities
Essential Key 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.
- Engage with clients and colleagues to identify business needs and contribute to the development, implementation, and management of analytical solutions.
- Validate the performance of existing risk models, predictive solutions, and recommend changes when necessary.
- Communicate complex concepts clearly and effectively to stakeholders, clients, and senior leaders.
- Establish and maintain relationships with key business stakeholders to understand their needs and provide analytical support.
- Assist in developing global analytic solutions, including statistical models, based on established best practices, methodologies, and tools.
- Research business issues and recommend solutions, including model inputs and end products, focusing on specific customer needs and use cases.
- Bring new projects forward from ideation to proof of concept and impact assessment.
- Work closely with related groups to ensure business continuity.
- Work as a member of one or more agile teams, using lean principles and SCRUM methodology.
- Leverage advanced analytical skills to collect, organize, and deliver large datasets from multiple channels and sources, ensuring comprehensive data integration.
- Provide technical expertise in various analytical tasks, including design, development, validation, calibration, documentation, implementation, monitoring, and reporting.
- Develop visual analytics tools by designing and creating dashboards in tools such as Power BI.
- Collaborate with internal and external stakeholders on data compilation, analysis, and quality assurance.
- Provide analysis and drive modern solutions and efficiencies in our processes.
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