Senior Data Analyst

dowjones; Greater London; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Comprehensive Healthcare Plans

Paid Time Off

Retirement Plans

Comprehensive Insurance Plans

Lifestyle Programs & Wellness Resource

Education Benefits

Family Care Benefits & Care

Job summary

Dow Jones Energy is seeking a Senior Data Analyst to join the Commercial Product Management team in London. You will support business performance, revenue management, customer analytics, sales operations, and executive decision-making.

You will work across large datasets to build reporting, dashboards, and analytical models, collaborating with Product, Sales, Finance, and leadership. A strong analytics mindset and experience with Excel, SQL, Python, and BI tools are essential.

Qualifications

• 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, and data manipulation.
• Experience with Python (Pandas) and cloud/data warehouse platforms (BigQuery, Snowflake, SQL Server, Athena).
• Experience with BI platforms such as Power BI, Looker Studio, Tableau.
• Experience with B2B data, industry analysis, or applied software products is highly desirable.
• Domain knowledge in chemicals/energy or related industries.

Responsibilities

• Own end-to-end reporting for ACV, renewals, new business, and churn diagnostics.
• Build bottoms-up financial models and scenario analyses.
• Design and maintain Power BI/Looker Studio dashboards for product performance and KPIs.
• Develop data quality, governance, and validation processes across core metrics.
• Automate recurring analytics using SQL, Python, and Power Query; explore AI/BigQuery solutions.
• Synthesize adoption and usage data into customer health scores to inform Sales and Account Management.

Skills

Python

Advanced Excel

SQL & Data Wrangling

Data Visualization

Business Acumen

Communication

Education

Bachelor's degree in Data Analytics/Statistics/Economics/Finance/CS

Tools

Power BI

Looker Studio

Tableau

BigQuery

Snowflake

SQL Server

Athena

Job description

About the Team:

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.

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 platformsPower 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 & Care