Senior Data Analyst - Dow Jones Energy Product Management

Dow Jones & Company•Houston, TX

6d•Hybrid

About The Position

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.

Requirements

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
Bachelor's degree in Data Analytics, Mathematics, Statistics, Economics, Finance, Business, Computer Science, or a related quantitative field -OR- equivalent work experience

Nice To Haves

B2B data/information, industry analysis, and/or applied software products

Responsibilities

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
Query, transform, and aggregate complex datasets across multiple source systems using optimized SQL to resolve data discrepancies and ensure unified, cross-system reporting integrity
Establish rigorous validation processes, data cleansing protocols, and repeatable quality assurance checks to maintain accuracy and reliability across all core business metrics
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
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
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
Conduct product performance and entitlement analyses to evaluate pricing packages, support new product launches, and inform portfolio optimization or sunsetting initiatives
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