.Data AnalystThis role has been designated as 'Edge', which means you will primarily work outside of an HPE office.Hewlett Packard Enterprise advances the way people live and work. We bring together the brightest minds to create breakthrough technology solutions, helping our customers make their mark on the world.Defines, develops, evaluates and oversees the implementation of pricing models and strategies designed to optimize revenue, market share, brand positioning and long-term profits. Partners with Sales/Marketing, Business Development, Finance and other key stakeholders to correctly position product portfolio and establish pricing programs aligned with product/sales strategy and revenue recognition requirements. Prioritizes and delivers on opportunities to monetize products offered initially at little to no cost, or to implement upsell opportunities as products are repositioned in the marketplace. Monitors the ongoing business environment to ensure competitive pricing/market position and directs the development and analysis of pricing models and projections. Oversees the implementation of pricing proposals across the organization.**_ How you'll make your mark:_**- Provides highly insightful analysis exercising a strong understanding of the business to determine the best method for achieving objectives.- Identifies opportunities for process improvement and policy development and engages in the design.- Data mining using state-of-the-art methods.- Enhancing data collection procedures to include information that is relevant for building analytic systems- Processing, cleansing, and verifying the integrity of data used for analysis.- Doing ad-hoc analysis and presenting results in a clear manner- Creating interactive dashboards & KPI**_ About you:_**- Bachelors in Business, Data Science or related field- Masters preferred- Typically 5+ years working with Big data- Experience with common data science toolkits, such as R, Python is required- Experience with data visualization tools, such as Power BI, Tableau, etc.,- Proficiency in using query languages such as SQL or Hive- Experience with NoSQL databases- Good understanding of machine learning techniques and algorithms- Enhanced pattern recognition techniques- Good scripting & programming skills and someone who is Data-oriented- Excellent ability to analyze and organize data to unveil opportunities- Strong multi-tasking and prioritization skills.- Excellent written and verbal communication skills- Excellent project management skills.- Strong business acumen