Our client, a home appliances manufacturer, wants to understand the past effectiveness of the marketing spend and take decisions regarding their future spend directions. We are looking for providers who could assist us in establishing the impact of key marketing variables.
Data Scientist:
• Resources having 3-5 years of experience in Data Science building predictive models
• Having knowledge of Optimization and Simulation
• Good proficiency in R and Python
• Knowledge of Trade Promotion Optimization would be plus
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Power BI and Reporting:
1) Proficient in Building the PowerBI dashboards, SSAS Cubes and Data warehouse solutions, using Microsoft BI tools and with industry best practices.
2) Understand and deliver the business scenarios for improvement on the BI platform from a clients perspective
3) Manage interaction and expectation of client considering all the aspects of building long term sustainable solution
4) Can create amazing dashboard designs, SSAS models, data models on the database, suggest ETL data flow and collectively support team for developments
5) Should manage the onsite and offshore assignments
6) Good knowledge of data warehouse modeling
7) Report and support to management for day to day activities and deliveries
8) Maker-Checker approach to follow in the development
Experience:
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SAS Analytics Consultant:
SAS Data Integration Consultant: