Build customer 360 utilizing customer information from CRM data and customer telemetry to understand trends and opportunities; Provide, communicate, and implement solutions to address business trends, and customer preference using data driven insights to drive revenue, increase yield, improve market share, and enhance customer adoption and expansion; Formulate new pricing, product, and subscription billing operations initiatives. Detailed job duties include: Collaborate with different cross functional teams to understand different source systems. Create data models, tables, develop Extract-Transform-Load process to load data from different source systems into a data-mart or data warehouse environment. Develop SQL(Structured Query Language) logic to assist in pricing analysis and subscription billing operations. Develop SQL logic to assist in building customer 360 view combining data from ERP(Enterprise Resource Planning system), CRM(Customer relationship management system) and telemetry systems); Interact with business users for requirement gathering; Analyze data from different systems and build trends and forecasting data models using Database and SQL skills; Build visualization in Tableau or similar dashboard tool; Provide user support for maintenance and enhancement of the dashboard; Gather third party market data and load into the data-mart or data warehouse environment; Analyze the third party market data to provide insights around target market, business patterns and competitions; Provide recommendations, trends and forecasts based on these insights on revenue growth strategies using data visualizations in tableau; Analyze the deals in sales pipeline and use data analytics skills to compare with the historic deals; Provide recommendations on discounting to protect the company’s top and bottom line based on customer behavior and market trends; Build data models to facilitate visualization on these insights; Perform data analysis on price performance of a product; Create pricing data models, tables, visualization in the data warehouse; Generating pricing report on sales revenue and preparing revenue forecast; Prepare multi year cost and pricing models using data visualization; Identify opportunities to optimize sales and profitability through pricing strategies; Use SQL and data warehousing skills to perform ad-hoc analysis to sales, product, finance teams etc. Perform data analysis and build scalable data models to extract insights into sales, marketing, telemetry data; Build data visualization summarizing the insights and providing actionable intelligence to the business users helping achieve the company’s revenue target and protecting the bottom line. $171,000 - $198,000/Year. Minimum job requirements: Bachelor’s degree in Computer Science, Information technology, Statistics, Business Analytics or a related field and at least three years of experience. Will accept Master’s degree plus one years of experience in lieu of Bachelor’s degree plus three years of experience. Must have experience in the following areas: Experience with data analysis, data modeling, data visualization and data warehousing; Programming experience with at least one of the following: Python, R or SQL; Experience with at least one of the following: Tableau, Looker or PowerBI; Experience in building customer 360 data model. May telecommute from any US location.