Market Data Analyst
DTN · United States
- Hybrid
- Full-time
- $82,000 / year
- United States
Job highlights
- Analyze financial market data across asset classes.
- Ensure accuracy and integrity of market data.
- Utilize SQL, Excel, and analytics platforms.
- Collaborate with internal stakeholders.
- Contribute to data quality improvements.
About the role
Market Data Analyst
DTN is seeking a Market Data Analyst to support the collection, validation, analysis, and interpretation of financial market data across multiple asset classes. This role plays a critical part in ensuring the accuracy, integrity, and usability of market data while supporting data-driven decision-making across the organization.
The ideal candidate combines strong analytical skills with financial market knowledge and experience working with large datasets. You will help drive data quality, uncover actionable insights, support analytics best practices, and contribute to the ongoing evolution of DTN’s market data capabilities.
What You Will Be Responsible For
- Collect, evaluate, and maintain market data across multiple asset classes, including futures, futures options, equities, equity/index options, foreign exchange (FX), market statistics, spreads, and strategy spreads
- Perform data exploration, statistical analysis, modeling, and trend analysis to identify insights and business opportunities
- Analyze structured and unstructured market data to support reporting, research, and decision-making initiatives
- Ensure data accuracy, integrity, and completeness through established procedures and controls
- Conduct quality assurance reviews to validate data inputs, mappings, and outputs
- Maintain proprietary cross-references and relationships between market assets
- Investigate, troubleshoot, and resolve reported market data issues and discrepancies
- Communicate analytical findings through documentation, reports, dashboards, and stakeholder presentations
- Recommend improvements to market data collection, structuring, and usage practices aligned with industry standards
- Contribute to analytics best practices, standardized metrics, and reporting methodologies
- Partner with Development, Operations, Risk, and business stakeholders to improve data quality and workflows
- Support enhancements to data models, analytics tools, and reporting frameworks
What You Will Bring To The Position
- Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Data Analytics, or a related field (or equivalent experience)
- Strong understanding of financial markets and instruments, including: Futures and futures options, Equities and equity/index options, Foreign exchange (FX) markets, Market statistics and pricing data, Spreads and strategy spreads
- Familiarity with market data vendors, exchanges, and data distribution models
- Knowledge of industry market data standards and conventions
- Experience applying statistical analysis, modeling, and trend analysis techniques to large datasets
- Strong analytical and problem-solving skills with exceptional attention to detail
- Ability to exercise sound judgment while working within established procedures and controls
- Proficiency with data analysis tools such as SQL, Excel, data visualization tools, and analytics platforms
- Strong written and verbal communication skills with the ability to present findings to both technical and non-technical audiences
What Will Make You Stand Out
- Experience working within financial services, trading, investment management, or market data environments
- Familiarity with downstream market data applications including valuation, risk management, analytics, or regulatory reporting
- Experience supporting data governance initiatives, metrics standardization, or analytics framework development
What You Can Expect From DTN
- Competitive Salary
- Unlimited PTO
- Flexible working hours
- Remote work model (position dependent)
- Competitive Medical, Dental and Vision Insurance Plans
- 6% 401K matching
- Unlimited access to 13k+ courses via learning platform to support employee career advancement
- Employee Assistance Program (EAP)
Compensation
The targeted hiring base pay range for this position is between $62,000 and $82,000. DTN is a pay for performance organization, which means there is the opportunity to advance your compensation with performance over time. The actual base pay offered for this position will be dependent upon many factors, including but not limited to: prior work experience, training/education, transferable skills, business needs, internal equity and applicable laws. The targeted hiring base pay range is subject to change and may be modified in the future. This role may also be eligible for market competitive variable pay and benefits.
About DTN
DTN is a global data and technology company helping operational leaders in energy, agriculture, and weather-driven industries make faster, smarter decisions. Our Operational Decisioning Platform turns complex data into decision-grade insights—empowering customers to expand their margins, accelerate growth, and outpace risk. With more than 1,200 employees globally, DTN serves the companies that feed, fuel, and protect the world.
At DTN, we value clarity, trust, and action. We’re a team of problem-solvers, outcome-drivers, and industry nerds who believe that precision matters – and that mission is at the core of what we do.
- Trust Built: We earn it. We keep it. We protect it. Our neutrality, precision, and integrity are non-negotiable.
- Confidence-Driven: We help customers move with clarity and conviction. We bring the data and operational knowledge leaders need to act.
- Built for Industry: We speak operations because we come from operations. Our expertise is forged in fuel terminals, fields, flight paths, and forecasts.
- Future-Forward: We see what’s coming- and we’re ready. We help customers lead through change with smarter decisioning.
Recruitment Fraud Notice
DTN is aware of incidents where external parties have impersonated our organization, issuing fraudulent communications and/or job offers. Please be advised that all legitimate communication from DTN will come from an official @dtn.com email address or through our Paradox AI automated scheduling platform (Talent IQ). Any offers are extended directly by our Talent Acquisition team following a formal interview process. If you receive a suspicious message or offer claiming to be from DTN, please do not engage. Contact our Talent Acquisition team at Careers@dtn.com to verify the legitimacy of any communication. Report any fraudulent messaging as phishing or spam.
DTN is an Equal Opportunity Employer. We welcome and encourage applicants of all backgrounds, including minorities, women, veterans, and individuals with disabilities.
Key skills/competency
- Market Data Analysis
- Financial Markets
- Data Validation
- SQL
- Excel
- Statistical Analysis
- Data Quality
- Trend Analysis
- Reporting
- Communication
Skills & topics
- Market Data Analyst
- Financial Markets
- Data Analysis
- SQL
- Excel
- Statistics
- Data Quality
- Trend Analysis
- Reporting
- Finance
- Economics
- Data Analytics
- Futures
- Options
- FX
- Data Visualization
- Market Data
- DTN
How to get hired
- Tailor your resume: Highlight your finance, data analysis, and SQL skills.
- Showcase market knowledge: Emphasize your understanding of futures, options, and FX.
- Quantify achievements: Use numbers to demonstrate impact in previous roles.
- Prepare for technical questions: Be ready to discuss data analysis tools and methods.
- Research DTN's mission: Understand their impact on agriculture, energy, and weather.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the primary responsibilities of a Market Data Analyst at DTN?
- The Market Data Analyst at DTN is responsible for collecting, validating, analyzing, and interpreting financial market data across various asset classes. This includes ensuring data accuracy and integrity, performing statistical analysis and trend identification, and communicating findings to stakeholders.
- What educational background is required for the Market Data Analyst role at DTN?
- A Bachelor's degree in Finance, Economics, Mathematics, Statistics, Data Analytics, or a related field is preferred. However, equivalent experience will also be considered, indicating DTN values practical knowledge alongside formal education for this Market Data Analyst position.
- What technical skills are essential for a Market Data Analyst at DTN?
- Proficiency in data analysis tools such as SQL, Excel, and data visualization platforms is essential. Strong analytical and problem-solving skills, along with the ability to work with large datasets and apply statistical analysis techniques, are also critical for this Market Data Analyst role.
- Does DTN offer remote work options for the Market Data Analyst position?
- Yes, DTN offers a remote work model for the Market Data Analyst position, though it is noted as 'position dependent.' This provides flexibility for qualified candidates seeking to work from home.
- What is the target salary range for a Market Data Analyst at DTN?
- The targeted hiring base pay range for this Market Data Analyst position is between $62,000 and $82,000 annually. DTN also emphasizes a 'pay for performance' culture, allowing for compensation growth over time.
- How does DTN ensure the accuracy of market data collected by analysts?
- DTN ensures data accuracy through established procedures and controls, quality assurance reviews of data inputs and outputs, and by maintaining proprietary cross-references between market assets. The Market Data Analyst plays a key role in these processes.
- What kind of financial instruments does the Market Data Analyst work with at DTN?
- The Market Data Analyst at DTN works with a broad range of financial instruments including futures, futures options, equities, equity/index options, foreign exchange (FX), market statistics, and various types of spreads.
- What differentiates a candidate who will 'stand out' for the Market Data Analyst role?
- Candidates who stand out will have experience in financial services, trading, investment management, or market data environments. Familiarity with downstream market data applications like valuation and risk management, or experience with data governance, also strengthens an application for this role.