Accounting Analyst
Bogota, CO
hace 5 días
source : DirectEmployers Association

Develop domain and analytics expertise to deliver business value to the client. Utilize broad set of analytical statistical tools and techniques to improve client s F A processes across R2R, P2P, O2C.

Provide quantitative and qualitative strategic business insight, aid decision making to maximize revenue, reduce costs, and optimize processes using Six Sigma, Kaizen and Lean methodologies.

Identify, recommend, and implement improvements to client s business processes to enhance shareholder value.Develop and share recommendations with clients

  • Identify and recommend process improvement based on operational insights, industry and / or domain knowledge and / or analytics
  • Provide insights to clients that reduce costs or generate revenue
  • Deliver domain skills to support adoption of additional processes of clientsDevelop business insight
  • Gather business intelligence for decision-making and perform statistical inference of data through estimation techniques and hypothesis testingOverall
  • Work within and outside documented processes where appropriate applying judgment based services that deliver client value
  • Provide functional expertise for key processes, products and solutions
  • Drive analytical efforts in areas specific to business function and industry focus*Design distribution network*Demand forecasting*Aggregate planning*Supply / capacity management*Inventory management*Retail forecasting*Marketing campaign objectives*Digital marketing strategy*Medical review
  • Develop strategic business insights and recommendations for improvements to business functions
  • Provide next generation recommendations for process improvements to drive efficiency and cost saving
  • Gather business intelligence for decision making
  • Utilize analytical / statistical tools (, SAS,JDA,) to develop business data insights
  • Utilize tools (, cross tabulation, conjoint analysis, cluster analysis, multi-dimensional scaling, factor analysis, multiple discriminant analysis, regression and correlation) and algorithms for data mining (, association rules, artificial neural network, decision tress, time series) to develop business data insights
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