Sales Executive
Kasba Peth, Pune
1 year
Machine LearningNatural Language Processing (NLP)Predictive AnalyticsCustomer SegmentationData MiningPython BasicsR Programming BasicsSQLData VisualizationStatistical AnalysisSentiment AnalysisModel DeploymentBig Data AnalyticsCRM Systems (Salesforce, HubSpot, Marketo)A/B TestingData CleaningFeature EngineeringTime SeriesCommunication SkillBusiness Intelligence
Job Description:
Job Overview
- This role involves utilizing advanced machine learning (ML), natural language processing (NLP), and predictive analytics techniques to deeply understand customer behaviors and preferences, enabling data-driven sales strategies.
- The professional will analyze large datasets from various customer touchpoints to identify patterns, trends, and insights that can inform targeted sales campaigns and personalized customer engagement.
- Responsibilities include developing and deploying ML models to predict customer buying intent, segmenting customers based on behavioral data, and extracting sentiment and intent from textual data using NLP.
- The role requires close collaboration with sales teams to translate analytical insights into actionable sales tactics, improving lead qualification, conversion rates, and customer retention.
- Continuous monitoring and refinement of predictive models will be essential to adapt to changing market dynamics and customer preferences.
- Additionally, the role demands effective communication of complex analytical findings to non-technical stakeholders to support strategic decision-making.
- Design, develop, and implement ML and NLP models to analyze customer data and predict sales opportunities.
- Perform customer segmentation and profiling using predictive analytics to tailor sales approaches.
- Extract insights from unstructured data sources such as customer reviews, social media, and call transcripts using NLP techniques.
- Collaborate with sales and marketing teams to integrate analytical insights into sales processes and campaigns.
- Monitor model performance and update algorithms to maintain accuracy and relevance.
- Prepare detailed reports and visualizations to communicate findings and recommendations to stakeholders.
- Stay updated with the latest advancements in ML, NLP, and analytics to continuously enhance sales strategies.
