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Role Overview: As a Sr. Data Analyst at Target, you will be expected to explore data, technologies, and mathematical techniques to enable business insights. Your responsibilities will include data wrangling, reporting, dashboarding, visualization, statistical analysis, modeling, and presenting recommendations. You will work within an agile environment, actively participating in team ceremonies to achieve goals and develop domain knowledge. Your role will also involve applying key data management principles and exploring statistical analysis for data insights. Key Responsibilities: - Actively explore data for specific use cases - Create measurable insights from data for sharing - Develop metrics, reports, and statistics - Document calculations, code, and adhere to data management principles - Validate and test data assets through peer review - Perform descriptive statistics such as mean, variance, median, and correlation - Apply insights and testing in partnership with business users - Be an active participant in team meetings - Support agile ceremonies Qualifications Required: - Minimum 3 years of college degree with mathematics or statistics knowledge - 4 years of work experience in data analysis or a master's level education in business analytics, data science, etc. - Knowledge of data, reporting, and analytics - Proficiency in various programming languages like SQL, R, Python - Familiarity with relational and non-relational databases - Understanding of mathematical logic, descriptive and inferential statistics, calculus, testing, and research design - Ability to apply the scientific method and experimental design to generate insights from observational data (Note: The additional details about the company were not provided in the job description.) Role Overview: As a Sr. Data Analyst at Target, you will be expected to explore data, technologies, and mathematical techniques to enable business insights. Your responsibilities will include data wrangling, reporting, dashboarding, visualization, statistical analysis, modeling, and presenting recommendations. You will work within an agile environment, actively participating in team ceremonies to achieve goals and develop domain knowledge. Your role will also involve applying key data management principles and exploring statistical analysis for data insights. Key Responsibilities: - Actively explore data for specific use cases - Create measurable insights from data for sharing - Develop metrics, reports, and statistics - Document calculations, code, and adhere to data management principles - Validate and test data assets through peer review - Perform descriptive statistics such as mean, variance, median, and correlation - Apply insights and testing in partnership with business users - Be an active participant in team meetings - Support agile ceremonies Qualifications Required: - Minimum 3 years of college degree with mathematics or statistics knowledge - 4 years of work experience in data analysis or a master's level education in business analytics, data science, etc. - Knowledge of data, reporting, and analytics - Proficiency in various programming languages like SQL, R, Python - Familiarity with relational and non-relational databases - Understanding of mathematical logic, descriptive and inferential statistics, calculus, testing, and research design - Ability to apply the scientific method and experimental design to generate insights from observational data (Note: The additional details about the company were not provided in the job description.)
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