Director – Marketing Data Science & Pricing Analytics
Posted on 4/1/2024
Dow Jones

5,001-10,000 employees

Global news and data intelligence provider.
Company Overview
Dow Jones distinguishes itself through its comprehensive collection of global news and data, which is made readily accessible to its users via a robust research platform, mobile solutions, and seamless integration with advanced feeds and APIs. Their commitment to technology is evident in their provision of industry-leading data intelligence tools for critical areas such as anti-money laundering, anti-corruption, and economic sanctions, which are essential for risk and compliance solutions. The company's offerings, including Factiva & Curation Services and Dow Jones Newswires, demonstrate a focus on delivering timely, accurate information, positioning Dow Jones as a key resource for professionals who require reliable financial and business insights.
Data & Analytics

Company Stage

N/A

Total Funding

N/A

Founded

1881

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

2%

1 year growth

4%

2 year growth

21%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Power BI
Python
Data Science
R
SQL
Tableau
Marketing
Data Analysis
CategoriesNew
Data Science
Data Analysis
Data & Analytics
Growth & Marketing
Requirements
  • 7+ years experience in Data Science, strategy, data, marketing, and/or general management preferred
  • Degree in a quantitative field such as Data Science, Statistics, Mathematics, or related disciplines
  • Extensive experience in marketing analytics, data science, or a related field
  • Strong expertise in advanced analytics, data mining, forecasting, and predictive analytics
  • Proficiency in programming languages such as Python, R, or SQL, along with experience in working with large-scale databases and data manipulation
  • Deep understanding of marketing principles, customer segmentation strategies, and digital marketing channels
  • Strong business acumen and the ability to effectively communicate complex concepts to non-technical stakeholders
  • Experience with data visualization and reporting tools, such as Tableau or Power BI
  • Familiarity with marketing automation platforms, CRM systems, and digital analytics tools is a plus
Responsibilities
  • Designs of experiments and Forecasting
  • Data Infrastructure and Technology
  • Data-driven Marketing Strategies
  • Customer Segmentation
  • Stakeholder Collaboration