Job Description: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 & 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.
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 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
You Have:- 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
Our Benefits- 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 .
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Business Area:
Dow Jones - Energy
Job Category:
Data Analytics/Warehousing & Business Intelligence
Union Status:
Non-Union role
Base Pay Range: $75,000 - $95,000
We’re 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 candidate’s 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.
