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Senior Data Analyst

News Corp
London, GBR
Onsite
Discovered 1 weeks ago
Data analyticsCommercial and revenue analyticsFinancial analysis and modelingMicrosoft ExcelSQLPython

Full Job Posting

About Dow Jones Energy

Dow Jones Energy provides price transparency, benchmarks, analytics, news and insights across energy, chemicals, metals and fuel supply chains.

Its data and market intelligence support financial professionals and commercial decisions in evolving global markets.

About the role

Senior Data Analyst on a growing Commercial Product Management team, supporting energy and feedstocks, coal, metals and mining, renewables and clean energy, and chemicals.

Supports business performance, revenue management, customer analytics, sales operations, product strategy and executive decisions.

Works with large datasets and partners across Product, Sales, Finance, Customer Care, Consulting and leadership; reports to the VP of Product Management.

Commercial and data analysis

  • Own Book of Business reporting covering contract value, renewals, new business and win/loss; build models, scenarios and churn diagnostics.
  • Use optimized SQL to query and aggregate complex sources, resolve discrepancies and support unified reporting.
  • Establish data validation, cleansing and repeatable quality checks for core business metrics.
  • Create and maintain Power BI or Looker Studio dashboards for product, sales, customer and financial KPIs.
  • Automate recurring workflows using SQL, Python, Excel/VBA and Power Query; explore AI or BigQuery solutions for self-service analytics.
  • Analyze product adoption, API/web activity and usage to create customer health and engagement metrics.
  • Assess pricing packages, product launches, portfolio optimization and potential product sunsetting.
  • Communicate analytical methods and findings across functions and address ad hoc analytical priorities.

Qualifications

  • At least 3 years of professional experience in data analytics, commercial analytics, financial analysis, market research or a related analytical role.
  • Advanced Excel skills, including complex formulas, PivotTables, XLOOKUP, INDEX/MATCH, SUMIFS, nested logic and data manipulation.
  • Experience with some or all of Python, data warehouse platforms such as BigQuery, Snowflake, SQL Server or Athena, and BI platforms such as Power BI, Looker Studio or Tableau.
  • B2B data/information, industry analysis or applied software product experience is highly desirable.
  • Domain knowledge in chemicals, energy or related industries.
  • Bachelor's degree in a quantitative or business-related field, or equivalent work experience.

Benefits

  • Benefits listed include healthcare plans, paid time off and retirement plans; the source description is truncated after this list begins.

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