DTN

DTN

Market Data Manager

Remote, TX

Sponsorship not specifiedDetected 30 days ago
SQLData AnalysisData VisualizationStatisticsStrategic CommunicationsExcelValuationRecruitingLeadershipCommunicationProblem SolvingMentoring

About the role

  • For decades, DTN has been the silent force behind some of the world's most critical industries-helping businesses navigate complexity, uncertainty, and risk with smarter, faster decisions.
  • We don't follow trends-we set the standard for precision, trust, and operational impact.
  • Our purpose-built solutions-powered by AI and honed by decades of vertical expertise-are helping some of the world's most significant enterprises thrive amid operational constraints and uncover new opportunities in a fast-changing world.

Responsibilities

  • Establish and maintain procedures that ensure data accuracy, integrity, completeness, and consistency
  • Develop and oversee quality assurance processes that validate data inputs, mappings, and outputs
  • Manage proprietary cross-referencing and classification of market assets
  • Lead efforts to investigate and resolve market data issues, discrepancies, and reported errors
  • Guide the development of dashboards, reports, documentation, and stakeholder communications that support analytical findings
  • Partner with Development, Operations, Risk, and business stakeholders to improve data quality, workflows, and operational processes
  • Lead, mentor, and develop team members while evaluating performance, addressing skill gaps, and supporting career growth
  • Experience developing data governance programs, standardized metrics, and analytics frameworks

Requirements

  • Bachelor's degree in Finance, Economics, Mathematics, Statistics, Data Analytics, or a related field (or equivalent experience)
  • Proficiency with SQL, Excel, data visualization tools, and analytics platforms

Compensation

  • The targeted hiring base pay range for this position is between $97,000 and $128,000.
  • 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.

Benefits

  • Equities and equity/index options

Company info

  • 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.
  • We help customers move with clarity and conviction.
  • We bring the data and operational knowledge leaders need to act.
  • We see what's coming- and we're ready.
  • We help customers lead through change with smarter decisioning.

Equal opportunity

  • 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.

This listing is sourced directly from DTN's careers page and normalized into a canonical job model.