Lead Commercial Data Analyst

Posted Yesterday
London Bridge, VA, USA
In-Office
Senior level
Digital Media • Fintech • Information Technology
The Role
Lead commercial data analysis to drive revenue: develop pricing models for data feeds/APIs, build churn and retention predictive models, optimize Salesforce CRM analytics and executive dashboards, and partner with Sales, Product, and Editorial to identify expansion opportunities and mitigate revenue leakage.
Summary Generated by Built In
Job Description:

Lead Commercial Data Analyst
 

About the Role:

We are seeking a Senior Commercial Data Analyst to drive revenue growth through data-driven insights. In this role, you will focus on the “why” and “what next” by analyzing commercial performance, subscriber behavior, and pricing strategies for our data feeds, market intelligence software, and analytics platforms. You will manage and manipulate commercial data to optimize our sales pipeline and revenue tracking. This position reports to the Doug Strein.


You Will:

  • Lead commodity data and pricing strategy, evaluating the commercial performance of specific datasets and benchmarks, developing value-based pricing models for data feeds and APIs, and auditing client usage to identify expansion opportunities.

  • Drive churn and retention analytics, identifying leading indicators of customer churn, building predictive risk models, segmenting client cohorts, and quantifying the financial impact of downgrades to mitigate revenue leakage. 

  • Optimize CRM analytics and commercial reporting, building and maintaining Salesforce dashboards, monitoring core KPIs like sales pipelines and ARR, and designing executive performance dashboards in partnership with Sales, Product, and Editorial teams. 


You Have:

  • Demonstrable experience of commercial data analysis experience, ideally within a Price Reporting Agency (PRA), financial data provider, or commodity trading environment.

  • Advanced technical capability with Salesforce CRM (including custom reporting, dashboards, and data architecture), SQL, and Microsoft Excel for processing large datasets.

  • Demonstrated experience building reports and dashboards in Power BI or Tableau.

  • Strong foundational understanding of commodity markets, energy sectors, or global trade. 

  • Undergraduate degree in Economics, Finance, Statistics, Data Science, or a related field, or equivalent experience. 

  • Experience with Python or R for predictive modeling and data manipulation is a nice-to-have. 

Our Benefits:

  • Comprehensive Insurance Plans

  • Paid Time Off

  • Family Care Benefits

  • Access to Dow Jones Products

  • Subscription Discounts 

  • Employee Referral Program

  • Employee Well-being Support & Fitness Programs

  • Financial Health Programs 

  • Cybersecurity Protection 

#LI-Hybrid


Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic under applicable law.

Reasonable Accommodation

We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at [email protected]. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.

Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations.


Business Area:

Dow Jones - Energy

Job Category:

Data Analytics/Warehousing & Business Intelligence

Union Status:

Non-Union role

Skills Required

  • Commercial data analysis experience
  • Advanced Salesforce CRM skills (custom reporting, dashboards, data architecture)
  • SQL
  • Microsoft Excel for processing large datasets
  • Experience building reports and dashboards in Power BI or Tableau
  • Strong understanding of commodity markets, energy sectors, or global trade
  • Undergraduate degree in Economics, Finance, Statistics, Data Science, or related field (or equivalent experience)
  • Experience within a Price Reporting Agency, financial data provider, or commodity trading environment
  • Experience with Python or R for predictive modeling and data manipulation
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The Company
HQ: New York, NY
4,898 Employees
Year Founded: 1882

What We Do

When you join Dow Jones, you become part of the most dynamic, creative and savvy news and information companies in the world. As a global leader in news and business intelligence, we're newswires, websites, newspapers, apps, newsletters, databases, magazines, and video --including some of the widest-read and most-respected brands, like The Wall Street Journal, Factiva, Barron’s, MarketWatch, Financial News, DJX, Dow Jones Risk & Compliance, Dow Jones Newswires, and Dow Jones VentureSource. Our products inform the discussions and decisions that are vital to the world's commerce, while our databases make the business world more transparent. We continually develop technology to transform information into insight and prosperity. We enlighten and inspire audiences around the globe with authoritative, differentiated and trusted content.

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