Day to Day Responsibilities of this Position and Description of Project:

Performs complex data analysis in support of ad-hoc and standing management or customer requests. Develops programs, methodologies, and files for analyzing and presenting data. Uses and supports database applications and analytical tools. Evaluates data quality, applications, and functions. Produces output and maintains operation. Researches new data sources and analytical tools. Contributes to new product development and improvement in product delivery and presentation. Develops awareness of and familiarity with issues and events affecting organization, department, and/or customer. Uses timely and appropriate participation of users/customers in data collection and query systems.: Provides accurate and appropriate interpretation of data, applying knowledge to evaluation, analysis, and interpretation of data. Develops appropriate methodologies for collecting, analyzing, and presenting data products. Develops useful and insightful information from a variety of data sources. Works with management and/or customers to develop and understand product specifications. Communicates regularly and effectively with team members and management, and communicates results effectively to management and/or customers. Delivers data products in report/presentation format, or verbally, to management and/or customer specifications and timelines. Points out system or process problems when noticed and engages the team in problem solving. Facilitates satisfactory communication and resolution of problems.

Qualifications
-Masters or PhD of a science (e.g. mathematics, physics, engineering, statistics, data science, Client.) is required.
-At least 3 years (for PhD) or 5 years (for Master) of experience in analytics or data science is required.
-You must have strong technical skills of Python and SQL.
-You have strong empirical and analytical background, either proven through coursework or original research
-You have demonstrated the ability to combine quantitative and qualitative findings in order to frame the right questions and deliver measurable insights
-You are a lateral problem solver, who constructively challenges the obvious answer in order to examine the underlying mechanisms or phenomenon
-You believe collaboration and effective communication are critical to achieving goals
-BS/BA degree (ideally in a quantitative field such in Engineering, Statistics, Applied Econometrics, Math, Physics, Computer Science, other related Core Sciences or equivalent) with analytics experience Or Master's degree in similar field or MBA and experience in analytics and exposure to varied functions within analytics/finance
-A strong background with relevant work experience in data analytics
-Related experience in impacting large business unit results and partner relationships
-Familiarity with relevant tools such as Python, SQL, Spark/ Scala, Hadoop, R, Excel, and Tableau
-Effective analyst who understands ecommerce business and current business trends
-Ability to communicate findings clearly to both technical and non-technical audiences and to effectively collaborate within cross-functional teams
-Breadth of experiences and use cases in data mining and quantitative analytic ability and hands-on data analytics experience