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Forecasting Data Scientist

mondelez international·APAC·India·mid
pythonreactsqldata sciencepower bitableau
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Job Description Are You Ready to Make It Happen at Mondelēz International ? Join our Mission to Lead the Future of Snacking. Make It With Pride. You will help our business react to changing business conditions with excellent data analysis. You will define the requirements, perform the analysis and identify patterns in large amounts of data. How you will contribute You will: Define requirements for analysis in a given business area and perform detailed analysis and identify trends defined in the requirements Identify patterns and help the business react to changing business conditions Perform root-cause analysis and interpret data Work with large amounts of data such as facts, figures, and mathematics/formulas and undertake analytical activities and delivers analysis outputs in accordance with customer needs and conforming to established standards Understand and be involved with aspects of the data science process As the investigator on the data science team, you will apply your knowledge of languages and pull data out of SQL databases, using Tableau/Power BI type tools, and producing basic data visualizations and reporting dashboards What you will bring A desire to drive your future and accelerate your career and the following experience and knowledge: Knowledge of Microsoft Excel, Power BI, SQL,R, Python, SAS software, Google Analytics, Google Tag Manager, Tableau, Google AdWords, statistical software Moderate knowledge in math and statistical skills, strong business acumen, moderate computer science/coding skills Develop key performance indicators and create visualizations of the data Utilize business intelligence and analytics tool More about this role You will represent and communicate data requirements to help us understand our data assets and the relationships among them. You will investigate, analyze and scope data requirements to support the development of data integration, data retrieval and reusable data sets. What you need to know about this position: The

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