Job Description

Before you apply to a job, select your language preference from the options available at the top right of this page. Job Description: Grade : 20E Shift timing : Rotation between 10:30 to 19:30 IST and 11. 30 to 20. 30 IST Summary: This role supports the Global Pricing function by gathering, analyzing, and interpreting data to shape UPS s pricing strategy. The position involves consulting with internal experts to identify the best analytical approaches, leveraging in-house reporting tools and external data sources to generate insights. The analyst summarizes findings and communicates key takeaways to stakeholders across the organization. The role requires expertise in running queries from multiple data sources, cleansing and validating data, and identifying performance trends and drivers. Additionally, the analyst presents insights in a clear, actionable format to inform management decisions. This position includes managerial responsibilities. Responsibilities: Develops subject matter expertise on internal and external data sources for strategic decision-making. Compiles, updates, and distributes reports to stakeholders with timely insights. Conducts data analysis to identify performance trends and key business drivers. Manages ad-hoc data requests and builds structured databases for new reporting needs. Documents and optimizes queries to ensure data integrity and efficiency. Engages with data providers to maintain quality and streamline data processing. Presents findings cross-functionally, highlighting opportunities to enhance business strategies. Qualifications: Technical Expertise: Proficiency in Microsoft Office Suite, SQL, and Power BI. UPS Platform Experience (Preferred): Familiarity with DWH, OBI, GCPR, CDP, and Databricks. Educational Background (Preferred): Master s degree (or equivalent) in Marketing, Analytics, Data Science, or related field. Analytical Skills: Strong ability to conduct analysis, diagnose trends, and develop data-driven solutions. Problem-Solving: Identifies root causes of business challenges and proposes effective solutions. Data Management: Uses analytical tools to manage large datasets and extract meaningful insights.