cyberThink
Data / Business Analyst - Hybrid
cyberThink, Plano, Texas, us, 75086
Job Description:
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:
Bachelor's degree in business, Analytics, Data Science, Statistics, Mathematics, or similar field of study (master's degree preferred) 4+ years of work experience in Retail Performance analytics, Data analytics with data modelling Highly skilled in Excel and Python (Pandas, Scikit-Learn, TensorFlow, Keras) Good applied statistical skills, including knowledge of statistical tests, distributions, regression, 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.
The hourly range for roles of this nature are $45.00 to $80.00/hr. Rates are heavily dependent on skills, experience, location, and industry.
cyberThink is an Equal Opportunity Employer.
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:
Bachelor's degree in business, Analytics, Data Science, Statistics, Mathematics, or similar field of study (master's degree preferred) 4+ years of work experience in Retail Performance analytics, Data analytics with data modelling Highly skilled in Excel and Python (Pandas, Scikit-Learn, TensorFlow, Keras) Good applied statistical skills, including knowledge of statistical tests, distributions, regression, 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.
The hourly range for roles of this nature are $45.00 to $80.00/hr. Rates are heavily dependent on skills, experience, location, and industry.
cyberThink is an Equal Opportunity Employer.