Quant Analytics Associate Sr - DART
On-site · Plano, Texas, United States
Job Summary
Senior Quantitative Analytics Associate within DART responsible for end-to-end MIS solution delivery, ELT/ETL pipelines in Python/SQL, dashboards in Tableau, and applying advanced analytics (forecasting, anomaly detection, segmentation) to optimize operational performance. You will collaborate with business partners and management, translate complex findings into concise narratives for senior stakeholders, lead cross-functional teams as SME, ensure data governance and audit readiness, and drive automation and data-driven decision making across the DART MIS ecosystem.
Required Qualifications
- 5+ years of hands-on analytics experience delivering measurable business improvements
- Bachelor’s degree in a quantitative or technical field (Economics, Engineering, Physical Sciences, Mathematics, Operations Research, Statistics, Computer Science)
- Expert-level SQL (complex joins, window functions, CTEs, performance tuning) and strong Python (pandas, NumPy; unit testing with pytest; structured logging; packaging)
- Proven experience building automated data pipelines and operating in data lake/cloud environments (Snowflake; AWS services such as S3, Glue, Lambda; or equivalent)
- Strong data visualization experience (Tableau or equivalent), including KPI design, dashboard UX, and audience-specific storytelling
- Working knowledge of machine learning and applied statistics for operations use cases (time series forecasting, supervised/unsupervised methods, feature engineering)
- Familiarity with data wrangling tools (e.g., Alteryx) and, as applicable, R for statistical analysis
- Excellent verbal and written communication skills—able to synthesize complex analyses into concise executive narratives and visuals
- Demonstrated ability to collaborate across functions and levels; influence decisions; and drive adoption of data solutions
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