Senior Data Analyst Dow Jones Energy Product Management

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.

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 & Feedstocks 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.

• 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 and ensure unified cross-system reporting integrity
• Data Quality & Governance: Establish rigorous validation processes data cleansing protocols and repeatable quality assurance checks to maintain accuracy and reliability across all core business metrics
• Business Intelligence & Dashboards: Design and maintain scalable user-friendly Power BI/Looker Studio dashboards that deliver actionable visibility into product performance sales activity customer health and financial KPIs for non-technical stakeholders
• Process Automation & AI Integration: Streamline recurring workflows using SQL Python Excel/VBA and Power Query while exploring AI/BigQuery solutions to scale self-service analytics and reduce manual reporting dependencies
• Customer & Usage Behavioral Analytics: Synthesize product adoption API/web activity and usage data into customer health scores and engagement metrics that empower Sales and Account Management teams to mitigate churn Risk
• Product Portfolio Strategy: Conduct product performance and entitlement analyses to evaluate pricing packages support new product launches and inform portfolio optimization or sunsetting initiatives
• Cross-Functional Stakeholder Partnership: Serve as a strategic analytics partner across Sales Finance Product and executive leadership effectively communicating complex methodologies and managing ad-hoc analytical priorities to guide business decisions

• 3 years professional experience in data analytics commercial analytics financial analysis market research or a related analytical role
• Advanced proficiency in Microsoft Excel; including complex formulas PivotTables XLOOKUP INDEX/MATCH SUMIFS nested logic and data manipulation VBA Excel Macros or Power Query
• Experience with some or all of the following technologies:
  • Python (particularly Pandas and data analysis/automation)
  • BigQuery Snowflake SQL Server Athena or other cloud/data warehouse platforms
  • Power BI Looker Studio Tableau or similar BI platforms
• Experience with B2B data/information industry analysis and/or applied software products (highly desirable)
• Domain knowledge in chemicals/energy or other related industry areas
• An interest to pursue a career in product management and want to leverage your existing analytical skill set while deepening your product management capabilities and expertise
• Bachelors degree in Data Analytics Mathematics Statistics Economics Finance Business Computer Science or a related quantitative field -OR- equivalent work experience

• Comprehensive Healthcare Plans
• Paid Time Off
• Retirement Plans
• Comprehensive Insurance Plans
• Lifestyle Programs & Wellness Resources
• Education Benefits
• Family Care Benefits & Caregiving Support
• Commuter Transit Program
• Subscription Discounts
• Employee Referral Program
• Financial Health Programs
• Cybersecurity Protection

Learn more about us and our benefits click here.

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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. EEO/Disabled/Vets

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Business Area:

Dow Jones - Energy

Job Category:

Data Analytics/Warehousing & Business Intelligence

Union Status:

Non-Union role

Base Pay Range: $75000 - $95000

Were committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidates experience skills location and other relevant factors.

For bonus-eligible roles targets are determined based on multiple considerations including market benchmarks and individual contributions.

For benefits-eligible roles we offer a comprehensive and competitive benefits package covering health retirement wellbeing and more along with optional benefits to meet the diverse needs of our employees.