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Robert Half Data Analyst in Chandler, Arizona


Robert Half is looking for a Data Analyst in our Chandler, Az region! What you will do is design, develop and implement predictive models using advanced data mining and machine learning techniques.


  • Collaborate with other data scientists and engineers to formulate innovative solutions to experiment and implement advanced data mining techniques

  • Work with large volumes of data; extract and manipulate large datasets using standard tools such as Python, Hadoop, SQL

  • Communicate complex concepts and the results of the analyses in a clear and effective manner through creative visualization

  • Work closely with multiple national and international customers to consult and strategize on the approach to tackling fraud and ensure that RaaS is solving their fraud problem

  • Be a strong subject matter expert on RaaS platforms, as well as developing risk solutions in specific fields (banking, finance, eCommerce, etc).

  • Understand the main customer issues around fraud and compliance.

  • Perform in-depth analysis of data sets to detect anomalies and to understand the key parameters that may be indicative of fraud.

  • Analyze and transform data using RaaS’s platforms to identify fraud patterns and optimize the systems to flag these patterns.

  • Work with a dedicated international data science and engineering team, using a state-of-the-art technology stack, to design and implement data-driven solutions that operate at scale and in real-time.

  • Make business recommendations to the executive and cross-functional teams with effective presentations of findings at multiple levels of stakeholders.

  • Lead and participate in special initiatives: innovate and implement large-scale quality improvements to processes and/or systems by conducting data analysis and making recommendations, troubleshooting technical issues, and refining processes.

  • Communicate insights and findings back to the team to contribute to the overall team success.

  • Improve the products with innovative ideas driven by customer feedback; work with the product development team to incorporate the feedback into the platforms.


Qualifications and Experience:

  • MS in Computer Science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience

  • A minimum of 2 years of experience in advanced Data Analysis, Research, Risk and Fraud Investigation, or Internet Industry

  • Experience with Python, SQL, R, or JavaScript

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