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Urgent! SAS Job Opening In PUNE – Now Hiring Cognizant



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.

Cognizant is an equal opportunity employer.

All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.


Required Skill Profession

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