Business Analyst 5
: Job Details :

Pay rate range - $58/hr. to $60/hr. on W2Schedule: M-Th On site, Friday WFHTop skills: Data Science, Excel, and PythonKEY RESPONSIBILITIES/REQUIREMENTS:Main responsibilities include the following: Apply expertise in quantitative and qualitative analysis to synthesize trends into actionable insights. Experience with Machine Learning techniques, such as regression, classification, clustering, and neural networks. Outline business predictions to predict forecasts of demand and promote overall efficiency Data science and optimization models Customer Segmentation, Product Mix and Promotion Mix analysis, Multi-variate models, Turf Analysis Highly skilled in Excel. Highly skilled in Data Mining using Python. Source, combine, and synthesize large amounts of data from various data sources. Work cross-functionally to identify current organization gaps and emerging trends and recommend solutions based on qualitative analyses and market insights. Conduct Industry analysis: Analyze trends, patterns, early warnings, and forecasts. Utilize syndicated and other sources for periodical Retail industry assessment Effective visualization for users to interact with the forecasting model Recommend strategic action plans for retail to drive sales across all product categories. Presentation skills in being able to tell the story behind the numbers.Background/Experience Required: Bachelors degree in Business, Analytics, Data Science, Statistics, Mathematics, or a similar field of study (Masters Degree preferred) 4+ years of work experience in Retail Performance analytics, Data analytics with data modeling Highly skilled in Excel and Python (Pandas, Scikit-Learn, TensorFlow, Keras) Good applied statistical skills, including knowledge of statistical tests, distributions, regression, and maximum likelihood estimators. Machine Learning good knowledge of machine learning methods like Clustering, k-nearest Neighbors, Decision Forests, Time series Forecasting Data Wrangling proficiency in handling imperfections in data Good knowledge of Data Visualization Tools Tableau Analytical mind and great business sense, problem-solving aptitude Excellent oral and written communication skills, with demonstrated experience building and delivering presentations. Collaboration within Retail teams is a priority for this role.Necessary Skills and Attributes:Demonstrated ability to interact at all levels within customer's organizations, the ability to plan, organize and prioritize multiple strategic programs and simultaneous performance objectives.The ability to understand the different data sources.To combine the same and run advanced analytics and reporting, to gain actionable insights and opportunity for the Retail teams to address.The ability to write, read, interpret, explain and act based on a thorough understanding of technical documents, engineering materials and contracts or related documents.Ability to make professional sales and business presentations in writing, through email, reports, or orally, including complex business and technical matters to an audience of high technical skills, management and operational experience.Ability to support a cross-functional with client team to achieve customer contracted objectives and specific team goals within established time frames and requirements.Physical/Mental Demands:Work is generally performed in an office environment.Operate a computer keyboard and view a video display terminal between more than 50% of work time, including prolonged periods.Requires considerable work utilizing high visual acuity/detail, numeric / character distinction, and moderate hand/finger dexterity.The movement and transportation of equipment, most of the time is under 25 pounds.Performs work under time schedules and stress which are normally periodic or cyclical, including time-sensitive deadlines, intellectual challenges and project management deadlines.Machines, tools, equipment, and work aids include PCs, printers, copiers, faxes and other equipment commonly associated with an office work area.May require working additional hours beyond the normal schedule.Travel varies depending on position.