Senior Data Analyst

Company: Dow Jones & Co.
Apply for the Senior Data Analyst
Location: London
Job Description:

Overview

Join Dow Jones Energy as a Senior Data Analyst to empower commercial product decisions through advanced analytics, data governance, and actionable insights. You’ll support revenue optimization, product strategy, and leadership decision-making across Energy, Metals, Renewables, and Chemicals sectors. Expect to work with cross-functional teams to transform data into trusted visuals and models at scale. This role blends technical rigor with business judgment to drive pricing, retention, and portfolio strategy.

Pay / Benefits

  • Comprehensive Healthcare Plans
  • Paid Time Off
  • Retirement Plans
  • Education Benefits
  • Family Care Benefits & Caregiving Support
  • Commuter Transit Program

Responsibilities

  • Own end-to-end reporting for the Book of Business (ACV, renewals, new business, win/loss) and build financial models to inform pricing and revenue strategies
  • Develop and maintain advanced SQL-based data pipelines and cross-system reporting integrity
  • Establish data quality and governance processes including validation, cleansing, and QA checks
  • Design scalable dashboards (Power BI/Looker Studio) to track product performance, sales activity, customer health, and financial KPIs
  • Automate recurring analytics workflows using SQL, Python, Excel/VBA, and Power Query; explore AI/BigQuery solutions for self-service analytics
  • Synthesize product usage, adoption, and engagement data into customer health scores to reduce churn
  • Conduct product performance and pricing analyses to inform portfolio decisions and new product launches
  • Collaborate with Sales, Finance, Product, and leadership to prioritize analytics work and communicate methodologies

Key requirements

  • 3+ years of experience in data analytics, commercial analytics, financial analysis, or related roles
  • Advanced proficiency in Excel (formulas, PivotTables, XLOOKUP, INDEX/MATCH, SUMIFS, VBA/Power Query)
  • Experience with Python (Pandas for data analysis/automation)
  • Experience with cloud/data warehouse platforms (BigQuery, Snowflake, SQL Server, Athena)
  • Experience with BI tools (Power BI, Looker Studio, Tableau)
  • Experience with B2B data, industry analysis, or applied software products (desirable)
  • Domain knowledge in chemicals/energy or related industries (desirable)
  • Bachelor’s degree in a quantitative field or equivalent work experience
  • strong communication to translate complex methods for non-technical stakeholders
  • cross-functional collaboration and stakeholder management
  • analytical curiosity and problem-solving with attention to detail
  • Python (Pandas)
  • SQL (complex querying, data transformation)
  • BigQuery/Snowflake/SQL Server/Athena

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Posted: October 16th, 2026