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Pricing Analyst (Data Analyst/Data Scientist) - UAE Nationals preferred

2.00 to 15.00 Years   Dubai, United Arab Emirates   29 Jan, 2021
Al Futtaim Group
1 Jobs Openings
Job LocationDubai, United Arab Emirates
EducationNot Mentioned
SalaryNot Mentioned
IndustryAutomotive Repair, Spare Parts, & Support Services; Automotive Dealership & Distributor
Functional AreaNot Mentioned

Job Description

We are looking for an experienced Data Analyst who will working as a Pricing Analyst, to analyze pricing data and provide analysis reports and KPIs, measure pricing position and comparison with markets to optimum, optimized inventory levels, and cost efficiency that will lead to a customer-oriented process. You will use a variety of data analysis methods & tools to drive business results with data-based insights converted into an easy to follow visual summary of impacts & approach whilst working with stakeholders to improve business outcomes

  • Illustrations and visualizations of data that can easily be comprehended and simplified for non-technical stakeholder audiences, communicating statistical modelling results as measures of the business?s impact
  • Create high level presentations providing senior management level summaries of current actions and future proposals.
  • Use of statistical analysis and data visualization techniques, to create solutions that enable enhanced business performance
  • Utilize data science (MS Azure, ML Studio, R, Phyton) and data engineering (Alteryz, SQL) to improve efficiencies, improve cost and increase profit margins
  • Use large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action
  • Research new ways for predicting and modeling end-user behavior as well as investigating data summarization and visualization techniques for conveying key applied analytics findings
  • Prepare reports and presentations for relevant stakeholders that will give insights for decision making
  • Identify relevant pricing data sources and sets to mine, collect large structured and unstructured pricing datasets and variables
  • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
  • Analyze data for trends and patterns, and Interpret data with a clear objective in mind
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies
  • Devise reporting which presents results in a clear manner
  • Create automated anomaly detection systems and constant tracking of its performance

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