Sr Data Analyst Target
Target
Office Location
Full Time
Experience: 3 - 3 years required
Pay:
Salary Information not included
Type: Full Time
Location: All India
Skills: SQL, Python, R, Data Analysis, Problem Solving, Analytical skills, Data Mining, Communication skills, Time Series Analysis, Statistical Analysis, Excel, Hadoop, hive, spark, Adobe Analytics, Google Analytics, Data Curiosity, Data creation, Data Consolidation, Descriptive Statistics, inferential statistics, Data Visualizations, AB testing, SOP Planning, forecasting models, Analytics Tools, Domo
About Target
Job Description
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. Insert Pyramid & Team Overviews The scope of work for this position involves utilizing your expertise as a Data Analyst to analyze and interpret data for business objectives. As a key member of the team, you will be responsible for leveraging advanced SQL skills to write complex queries and using Python or R for data analysis. Your problem-solving abilities, data curiosity, and analytical skills will be essential in data mining, creation, and consolidation. You will support your conclusions with a clear and understandable story that incorporates descriptive statistics, basic inferential statistics, and data visualizations. Additionally, you will collaborate with both business and technical teams to translate ideas effectively and ensure the measurement of objectives and key results. Knowledge of AB Testing methods, time series, S&OP planning, and forecasting models, including statistical analysis, will be crucial for success in this role. Experience with analytics tools such as SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics, or Google Analytics, and other equivalent technologies will be beneficial. Four-year degree or equivalent experience 3+ years as a Data Analyst with strong academic performance in a quantitative field; or strong equivalent experience Advanced SQL experience writing complex queries Intermediate proficiency with Python or R Solid problem-solving and analytical skills, data curiosity, data mining, data creation, and consolidation Ability to present conclusions in a clear and understandable manner using descriptive and inferential statistics, and data visualizations Willingness to inquire about business objectives and project workstream measurement needs, and ability to measure objectives and key results Excellent communication skills to engage with both business and technical teams and facilitate idea translation Knowledge of AB Testing methods, time series, S&OP planning, and forecasting models, including statistical analysis Experience with analytics tools such as SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics, or Google Analytics, and/or equivalent technologies,