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Under general supervision, provide analysis, insight, and recommendations by synthesizing information for various product categories and geographies by using competitive analyses, analytical modeling, and leveraging knowledge of the product portfolio and customer programs. Manage pricing process for the sales team including assessing, approving, and loading all pricing requests. Review, research, and analyze pricing to make recommendations on price enhancements, SKU rationalization and margin opportunities. Process quotation requests for stock standard items and special order (customer specific) items.
Job Responsibility
Provide analysis, insight, and recommendations by synthesizing information for various product categories and geographies by using competitive analyses, analytical modeling, and leveraging knowledge of the product portfolio and customer programs
Manage pricing process for the sales team including assessing, approving, and loading all pricing requests
Review, research, and analyze pricing to make recommendations on price enhancements, SKU rationalization and margin opportunities
Process quotation requests for stock standard items and special order (customer specific) items
Requirements
Collect, clean, and analyze large datasets to generate insights and recommendations
Perform Data analysis and provide decision points based on the same
Develop and implement data transformation components to solve business problems
Maintain DT pipeline and fix production issues in stipulated time
Work on Data visualization dashboard and maintain the same
Create utilities which can be re-usable for data processing, feature engineering, etc.
Conduct hypothesis testing and statistical analyses to understand data trends
Work with Data Scientist/Data Analyst – perform technical reviews, provide technical support
Communicate findings to non-technical stakeholders through reports and visualizations
Collaborate with engineers, product teams, and business stakeholders to translate business goals into data-driven solutions
Bachelor’s degree/master’s degree in quantitative fields such as Statistics, Computer Science, or Engineering
3+ years of experience working with a product development company as a Senior Data Analyst
5+ years of experience with Data Transformation pipeline, Data Visualization dashboards – developed, deployed and maintained 5+ projects in production – using Power BI or Qlik sense
3+ years of experience and proficiency in programming languages such as Python, Pyspark, Java
Strong hands-on experience in SQL or data manipulation/query language
Worked on Production grade/POC projects including Statistical ML techniques
Good communication and comprehension skills to explain DT pipelines to stakeholders in a non-technical manner
Performed technical reviews and provided technical support to junior data scientists
3+ years of experience in code version tools like – git, GitHub, GitLab etc.
3+ years of Cloud Infrastructure experience is a must
Nice to have
Database certifications/ Data Visualization certifications