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Strong Tier-1 brand, mid-level generalist data role, metro location and broad skill set increase applicant competition.
Core SQL, Python and BI skills are highly transferable across industries despite finance domain preference.
Explicit 3+ years requirement plus mandatory SQL and Python skills increases filtering stringency.
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Provide data-driven insights and metrics on trading activity on the Tradeweb platform to support product development and business decisions.
Analyze fixed income trading and market trends and assist in producing client-facing and regulatory reports, dashboards, and recurring metrics.
Build and maintain Tableau dashboards and ensure accuracy and timeliness of all analytical deliverables while effectively presenting findings to technical and non-technical stakeholders.
Bachelor’s or Master’s degree in quantitative discipline (Computer Science, Mathematics, Statistics, Engineering, Economics).
Minimum 3 years relevant experience in analytical or data-focused role.
Strong proficiency in SQL/Snowflake including CTEs and stored procedures; hands-on experience with Python and libraries like Pandas and NumPy.
Experience with Tableau or other BI/data visualization tools is a plus, but not mandatory.
Experienced in handling large, complex datasets with strong SQL and Python expertise targeting financial data or trading platforms.
Capable of independently managing deliverables and effectively communicating analytical insights across technical and non-technical stakeholders.
Has working knowledge of fixed income markets or basic finance/economics concepts to contextualize data analysis within financial services.