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Senior Data Analyst - Dow Jones Energy Product Management

Job in Houston, Harris County, Texas, 77246, USA
Listing for: Dow Jones & Co.
Full Time position
Listed on 2026-10-05
Job specializations:
  • Business
    Data Analyst, Business Intelligence, Financial Analyst
Salary/Wage Range or Industry Benchmark: 75000 - 95000 USD Yearly USD 75000.00 95000.00 YEAR
Job Description & How to Apply Below

Dow Jones & Co.

Since 1882, Dow Jones has been finding new ways to bring information to the world's top business entities. Beginning as a niche news agency in an obscure Wall Street basement, Dow Jones has grown to be a worldwide news and information powerhouse, with prestigious brands including The Wall Street Journal, Dow Jones Newswires, Factiva, Barron's, Market Watch and Financial News. This longevity and success is due to a relentless pursuit of accuracy, depth and innovation, enhanced by the wisdom of past experience and a solid grasp on the future ahead.

More than its individual brands, Dow Jones is a modern gateway to intelligence, with innovative technology, advanced data feeds, integrated solutions, expert research, award-winning journalism and customizable apps and delivery systems to bring the information that matters most to customers, when and where they need it, every day.

Dow Jones, Making Careers Newsworthy

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status. EEO/AA/M/F/Disabled/Vets.

Dow Jones is 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, due to a disability, email us at ta Please put “Reasonable Accommodation” in the subject line.

Houston, TX - OPIS

Full time

_55481

Job Description:

About the Team:

Dow Jones Energy delivers trusted price transparency, benchmarks, analytics, news, and insights across the global energy, chemicals, metals, and fuel supply value chains. Our offerings support institutional investors, analysts, and traders navigating spot, wholesale, and retail markets, as well as emerging segments tied to the global energy transition. Through authoritative data, real-time intelligence, and deep market expertise, Dow Jones Energy enables financial professionals to mitigate risk and make high-stakes commercial decisions in volatile, fast-evolving global markets.

About the Role:

This is an exciting time to join our small but growing Commercial Product Management team where you will be supporting a number of key sectors including:
Energy & Feed stocks, Coal, Metals and Mining, Renewables & Clean Energy and Chemicals. We are seeking a highly analytical and detail-oriented Senior Data Analyst to support business performance, revenue management, customer analytics, sales operations, product strategy, and executive decision-making. The position requires a combination of advanced Excel, SQL, Python, business intelligence, financial analysis, data visualization, and strong business judgment. You will work across large and complex datasets to develop reporting, dashboards, analytical models, and actionable insights for product and leadership teams.

You are comfortable working independently on ambiguous analytical problems, reconciling data from multiple sources, automating recurring processes, and communicating findings to both technical and non-technical stakeholders. You will also serve as a key analytical partner to the Product, Sales, Finance, Customer Care, Consulting, and leadership teams. You will report to the Vice President
- Product Management.

You Will:
  • Commercial & Revenue Optimization: Own end-to-end reporting for the Book of Business (ACV, renewals, new business, win/loss), building bottoms-up financial models, scenario analyses, and churn diagnostics to drive pricing, budgeting, and revenue retention strategies
  • Advanced Data Engineering & SQL: Query, transform, and aggregate complex datasets across multiple source systems using optimized SQL to resolve data discrepancies…
Position Requirements
10+ Years work experience
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