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Employer: DIA Associates, LLC
Who We AreDIA Associates is an analytics-driven strategy consulting firm. We deliver high-impact solutions to clients and help them succeed using best practices from traditional strategy consulting and sophisticated analytics. We advise and support industry leaders from the Financial Services and other industries across a range area: Marketing and Sales, Risk Management, Operations, Business planning and Product design.We are looking for talented individuals to join our growing team. As an Analyst, you have opportunities to work on a variety of high-profile projects under the mentorship of senior consultants and in collaboration with key decision-makers in Fortune 500 companies. You will enjoy working with rich data, cutting-edge analytics and technology and have the ability to see your insights turn into real business impact on a regular basis. A successful candidate will be technically sophisticated, motivated, methodical, hard-working and full of intellectual curiosity.Responsibilities:- Integrate, transform, validate and reconcile large amounts of data.- Drive critical decision making by conducting various type of analyses (e.g. segmentation, profiling, modeling).- Research, design and implement novel, scalable machine learning algorithms in big data environments.- Deliver results packaged in client-ready format in a timely and efficient manner.- Communicate key insights and results to clients.Requirements:- Master’s degree or higher from a quantitative field – computer science, engineering, mathematics, econometrics, operations research, statistics of others.- Solid analytical skills in analyzing, visualizing and interpreting data, and deriving insights.- Ability and desire to learn quickly and attention to detail.- Strong initiative, self-motivation and ability to work in teams.- Excellent verbal and written communication skills.- Flexibility to travel and adaptability to different working circumstances.- Familiarity with one of the following programming languages: Python, SAS, R, C++, Java.- Experience with Hadoop, Spark and other distributed big-data framework is a plus.