• Collaborate with cross-functional team members to come up with actionable, high- impact insights across product lines and functions.
• You drive solutions with the Operations, Tools, Insights, and Enablement teams to optimize the company s ability to generate more revenue.
• Develop and implement regular reporting of key performance metrics including forecasting, full funnel analysis and pipeline management.
• Communicating findings to stakeholders and taking initiatives for improving business performance.
• Ensure that data and analysis is presented in a format that is appropriate for a varied audience using data visualization, dashboards, or other methods.
• Utilize strong database skills to work with large, complex data sets to extract insights.
• Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
• Using advanced analytics and metrics to improve processes and provide data-driven forecasts of potential costs, revenues, and risks of business initiatives.

Role: Data Analyst

Industry Type: IT Services & Consulting

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Business Intelligence & Analytics

Education

UG: Any Graduate

PG: Any Postgraduate

About company

Sprinklr is the leading enterprise company for all customer-facing functions. With advanced AI, Sprinklrs unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Sprinklr stands out as a pioneer in Unified-CXM, leveraging robust AI tools across a single enterprise-grade platform to serve top-tier global brands. As a public company, its navigating market expectations while investing heavily in innovation, including generative AI and employee-centric global expansion. Champions “The Sprinklr Way”, a values-driven philosophy emphasizing customer obsession, empathy, accountability, fearlessness, and continuous learning.