Technical Market Data Analyst

Dow Jones•Princeton, TX

About The Position

Dow Jones is seeking a technically-driven Market Data Analyst to join the team powering world-class financial data across The Wall Street Journal, Barron’s, MarketWatch, Investor’s Business Daily, and their B2B products. In this role, the analyst will be the guardian of market data integrity, overseeing the end-to-end quality of consumer-facing data, validating and refining inputs from diverse global sources to ensure the publication of only the highest-standard information. The position acts as a vital link between the newsroom and technology, providing data-driven research for reporters while collaborating with product teams to build the next generation of financial tools.

Requirements

Strong foundational knowledge of global financial markets (Equities, Fixed Income, FX, etc.) and a drive to stay ahead of market trends.
Advanced skills in SQL and Python for data automation, alongside VBA for the maintenance of legacy Excel tooling.
Exceptional problem-solving skills with the ability to gather and interpret complex datasets under tight deadlines.
Professional experience with market data terminals such as FactSet, LSEG Workspace (Refinitiv), or Bloomberg.
Ability to translate complex data issues into actionable insights for non-technical stakeholders in the newsroom and product teams.

Nice To Haves

0-2 years of experience within financial services, fintech, or financial news.

Responsibilities

Ensure third-party feeds are timely, complete, and accurate.
Own the end-to-end process of aggregating, validating, and publishing multi-sourced financial data, ensuring every data point meets rigorous, publication-grade quality standards before reaching the global audience.
Proactively identify data anomalies; investigate root causes and utilize data integrity tools to remediate errors in real-time.
Provide specialized, high-stakes research to reporters and editors to ensure the statistical integrity of financial news stories.
Design and implement automated validation processes (SQL/Python) to streamline research workflows and maintain specialized Excel-based tools.
Execute functional testing for data-driven product updates and serve as the subject matter expert (SME) for escalated customer inquiries.
Facilitate hands-on training for new staff and contribute to strategic, cross-departmental market data initiatives.