Hiring.Camp

Lead Commercial Data Analyst

Dowjones

·

Yesterday

Location
London-1 London Bridge St, United Kingdom
Workplace
Hybrid
Type
Full-time
Department
Sales
Seniority
Lead
Education
Bachelor
Source
Workday

Description

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

PythonSQLData ScienceExcelSalesforceTableauPower BICybersecurity

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