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Senior Data Analyst - Workplace Solutions
Vanguard Group, Inc.
- United States
- United States
Über
Undergraduate degree in an analytic/quantitative field such as: Data Science, Business Analytics, Applied Mathematics, Statistics, Economics, or related quantitative field of study or equivalent combination of training and experience. Graduate Degree preferred 5 years of relevant work experience Extraordinary analytical skills, coupled with the ability to form hypotheses and draw meaningful insights from disparate data sources. The ability to understand data, process it, extract value from it, visualize it and communicate insights to audiences of various backgrounds, including senior management. Demonstrated track record of building strong relationships across technical and non-technical crew. Strong command of advanced data analysis tools and software Python SQL, Tableau preferred Experience working within a cloud-based, big data environment (AWS) Machine Learning methods regression models, propensity models, segmentation, optimization, experimental test design, time series analysis, cohort analysis, Bayesian methods, decision trees, text analysis, preferred. Highest standards of accuracy and precision; highly organized
Special Factors
Sponsorship Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission-we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
Sprachkenntnisse
- English
Hinweis für Nutzer
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