Analytics part of Accenture Digital help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition
As part of our Analytics practice you will join a worldwide network of over 13000 smart and driven colleagues experienced in leading statistical tools methods and applications. From data to analytics and insights to actions our forward-thinking consultants provide analytically-informed issue-based insights at scale to help our clients improve outcomes and achieve high performance.
Digital .Analytics. – Marketing Analytics
An analyst in Accenture Marketing Sciences – Marketing Analytics understands the importance of sound analytical decision-making relationship of tasks to the overall project and executes projects in the context of a marketing or retail business performance improvement initiative.
• Working through the phases of project
o Define data requirements for creating a model and understand the business problem
o Clean aggregate analyze interpret data and carry out quality analysis of it
o Set up data for statistical modeling
o Development of statistical or econometric models.
• Working along with the team and consultant or manager
• Looking for insight and creating a presentation to demonstrate these insights
• Supporting development and maintenance of proprietary marketing techniques and other knowledge development projects
Knowledge and skill requirements
• 4-7 years of work experience in consulting or analytics with reputed organization is desirable.
• Have an understanding of econometric or statistical modeling and analysis techniques such as regression analysis hypothesis testing multivariate statistical analysis time series techniques optimization techniques and statistical packages such as R SAS.
• Working knowledge in Machine Learning algorithms like Random Forest Gradient Boosting Neural Network etc.
• Proficient in Excel MS word Powerpoint etc.
• Strong analytical skills
• Good team player
• Attention to details
• Good communication skills
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