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Data Scientist, Marketing Analytics (R-17895)

Data Scientist, Marketing Analytics (R-17895)

Dun & BradstreeWarsaw, Poland
23 days ago
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 . About the role Join Dun & Bradstreet's  Marketing Analytics team, where you'll provide data-driven insights that fuel targeting, segmentation, and resource prioritization. Powered by the world's largest B2B data source, we're at the heart of data-driven marketing.Your duties Analytics Partner : Collaborate with marketing and sales teams to drive upsell, cross-sell, and new customer acquisition campaigns through segmentation and modeling. Predictive Insights : Deliver predictive analytics to support customer retention campaigns. Storytelling : Turn data into compelling stories that influence decision-making and automate analytical processes

Responsibilities

  • Strategic Partnerships : Collaborate with marketing and sales teams to set priorities and drive impactful business outcomes.
  • Machine Learning Models : Work with models for upsell, cross-sell, and new customer acquisition campaigns.
  • Predictive Analytics : Leverage product usage data to create models that predict customer retention.
  • Value Analytics : Develop benchmarks for customer lifetime value and spending.
  • Impact Measurement : Assess the effectiveness of targeting and segmentation strategies.
  • Thought Leadership : Continuously improve processes, focusing on scaling and automation.
  • Data Enhancement : Drive improvements in existing data sources and predictive analytics.
  • Insight Visualization : Transform key insights into compelling stories that influence business decisions.

Skills

  • Experience : Minimum of three years in analytical roles.
  • Influencing Skills : Proven ability to influence senior leaders across multiple functions.
  • Communication : Excellent written and verbal communication skills.
  • Programming : Advanced skills in R, Python, or Julia.
  • Machine Learning : Expertise in classification and clustering algorithms.
  • Data Handling : Ability to query and manipulate large datasets.
  • Dashboard Skills : Advanced skills in building Tableau or Power BI dashboards.
  • Education : Bachelor's degree in Business Management, Mathematics, Statistics, Computer Science, or a related quantitative field preferred.

    • All Dun & Bradstreet job postings can be found at and . Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.Notice to Applicants : Please be advised that this job posting page is hosted and powered by Lever. Your use of this page is subject to Lever's and , which governs the processing of visitor data on this platform.#LI-DNI

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    Data Scientist • Warsaw, Poland