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Company Description
MetricsHour is a macroeconomic data terminal that delivers institutional-grade economic intelligence, global trade flow insights, and corporate disclosure analytics through a streamlined, analyst-focused interface. The company’s core strength is geographic revenue attribution, linking corporate filings and global macroeconomic data to show how company revenues are exposed to specific countries and regions. By integrating SEC EDGAR data with sources such as the World Bank, IMF, UN Comtrade, and the US Census Bureau, MetricsHour powers advanced tools for researchers and investors. The platform supports macro and sovereign analysis, geographic risk screening, trade corridor mapping, and institutional holdings tracking. MetricsHour’s automated intelligence and low-latency infrastructure provide users with reliable, high-fidelity data to navigate complex global markets.
Role Description
The Data Analyst at MetricsHour is a full-time, remote role responsible for turning complex macroeconomic and financial datasets into actionable insights. Day-to-day activities include acquiring, cleaning, and structuring data from multiple sources, building analytical models, and performing statistical analysis to support product features and client use cases. The role involves creating dashboards and reports, validating data quality, and collaborating closely with product, engineering, and client-facing teams to refine metrics and methodologies. The Data Analyst will help interpret geographic revenue exposure, trade flows, and macro indicators, and present findings in a clear, concise manner to both technical and non-technical stakeholders. This position also contributes to continuous improvement of data pipelines, documentation, and best practices.
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Qualifications
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- Strong Analytical Skills and Data Analytics capabilities to interpret complex macroeconomic, trade, and corporate datasets.
- Proficiency in Statistics and Data Modeling to design robust analytical frameworks and build predictive or explanatory models.
- Effective Communication skills to present technical findings clearly and collaborate with cross-functional teams and external stakeholders.
- Experience with data tools and languages such as SQL, Python or R, and BI/visualization platforms (e.g., Power BI, Tableau, or similar).
- Familiarity with financial markets, macroeconomics, or corporate disclosures (e.g., SEC filings) is highly beneficial.
- Ability to work independently in a remote environment, manage multiple priorities, and maintain strong attention to detail and data quality.
- Bachelor’s degree in a quantitative field (e.g., Economics, Statistics, Mathematics, Finance, Data Science, or related discipline), or equivalent practical experience.
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