CRM Business Data Analyst analyzes Customer Relationship Management (CRM) system data in response to channel marketing initiatives. Studies marketing data such as customer information, call patterns, and demographics. Being a CRM Business Data Analyst requires a bachelor's degree in area of specialty. Typically reports to a manager or head of a unit/department. To be a CRM Business Data Analyst typically requires 4 to 7 years of related experience. Contributes to moderately complex aspects of a project. Work is generally independent and collaborative in nature. (Copyright 2024 Salary.com)
This position is responsible for a wide range of business analysis covering all departments, including Sales, Operations and Supply Chain.
Analysis and Interpretation of Data:
The candidate will be required to provide comprehensive and insightful analysis, covering areas such as;
• End customer analysis including pricing and segmental reporting (geographical, industry sector, product type, etc.) as well as identifying trends and market changes• Sales and Bookings reporting: by product type and family, and including profitability covering both Distributors and Direct Customers• Operations and Supply Cain – including the collation and interpretation of data relating to production and variance reporting, purchasing and project support• Work with senior management in the preparation of data for presentation to corporate, key customers and other stakeholders in the business• Provide weekly/ monthly/ ad hoc reporting and analysis across all business areas• Develop & maintain existing BI tools. Develop data models and data visualizations.
Forecasting:
• Work closely with Sales to help maximize forecast accuracy and to assist early identification of changes at customer or market level• Provide a link between Sales, Supply Chain and Operations to ensure that changes in forecast and demand are communicated in a clear and timely manner to all key managers and departments• Play a strong role in the development of the annual sales plan, as well as rolling quarterly forecasts
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