SAS

3 days ago

Pune India Cognizant Full time

Job Description AIA-Pune Experience - 6-9 Years Job Summary As a Lead Data Analyst you will play a crucial role in driving data-driven decision-making processes within our organization. You will leverage your expertise in data analysis and statistical techniques to provide insights that enhance business performance. This role requires a strong technical background in various data analysis tools and a keen understanding of retail demand forecasting. Responsibilities - Lead the analysis of complex data sets to identify trends and patterns that inform business strategies. - Oversee the development and implementation of data models using SAS and R Statistical Package. - Provide insights through exploratory data analysis to support decision-making processes. - Utilize LS Salesforce and Dataiku to streamline data workflows and enhance data accessibility. - Conduct incentive compensation management analysis to optimize sales performance. - Apply machine learning techniques to improve predictive accuracy in demand forecasting. - Calculate ROI to assess the effectiveness of business initiatives and strategies. - Employ Alteryx for data preparation and blending to ensure data quality and consistency. - Develop and maintain SQL scripts for data extraction and manipulation. - Use Python for advanced data analysis and automation of repetitive tasks. - Create comprehensive reports and presentations using MS Excel and MS PowerPoint to communicate findings to stakeholders. - Collaborate with cross-functional teams to align data analysis efforts with business objectives. - Ensure data integrity and security in all analytical processes. Qualifications - Possess a strong technical background with mandatory skills in SAS LS Salesforce Statistics EDA Incentive Compensation Management Dataiku Machine Learning ROI Calculation Alteryx Retail Demand Forecasting R Statistical Package MS Excel Python SQL Scripting and MS PowerPoint. - Demonstrate excellent analytical and problem-solving skills with a focus on actionable insights. - Exhibit proficiency in English for effective communication and collaboration. - Have domain experience in Finance & Accounting as a nice-to-have skill. - Show ability to work in a hybrid model with a focus on day shifts. - Display strong organizational skills and attention to detail in managing data projects.

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