Data Scientist, Marketing Analytics
Job Summary
Job Description
Join Dun & Bradstreet's Marketing Analytics team as a Data Scientist. You will provide data-driven insights to fuel targeting, segmentation, and resource prioritization. Responsibilities include collaborating with marketing and sales teams for upsell, cross-sell, and new customer acquisition campaigns, delivering predictive analytics for customer retention, and creating compelling stories from data to influence decision-making. You will also work on machine learning models, customer lifetime value benchmarks, and impact measurement of strategies. The role emphasizes thought leadership, process improvement, scaling, automation, and enhancing existing data sources.
Must have:
- Minimum of three years in analytical roles.
- Proven ability to influence senior leaders.
- Excellent written and verbal communication skills.
- Advanced skills in R, Python, or Julia.
- Expertise in classification and clustering algorithms.
- Ability to query and manipulate large datasets.
- Advanced skills in building Tableau or Power BI dashboards.
Good to have:
- Bachelor's degree in Business Management, Mathematics, Statistics, Computer Science, or a related quantitative field.
10 skills required
Job Details
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.
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 https://www.dnb.com/about-us/careers-and-people/joblistings.html and https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
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