Data Science Professional

4 days ago


Dallas, Texas, United States Tiger Analytics Full time
About the Role

Tiger Analytics is a leading analytics consulting firm that enables businesses to drive growth through data-driven decisions. As a Senior Business Intelligence Specialist, you will work on cutting-edge data science projects to solve complex business problems.

The ideal candidate will have 8-14 years of professional experience in business data analytics, with a strong background in Retail or CPG domain. Experience in Supply Chain planning and operations, E-commerce, and store retail experience is highly desirable.

The salary for this role is estimated to be around $120,000 - $180,000 per year, depending on location and experience.

Responsibilities:
  1. Work on data science projects to solve business problems
  2. Collaborate with team members to select and apply relevant analytic techniques
  3. Understand the business context by discussing existing data models with senior client leaders
  4. Analyze and transform data into datasets using SQL and other tools
  5. Break down complex projects into specific tasks involving business analysis, data science, and engineering
  6. Lead teams of business analysts to create data-driven solutions
  7. Design data analytics frameworks and solutions to solve data-driven business problems
  8. Develop data models using Data Science, Machine Learning, Artificial Intelligence, and Operational Research techniques
Requirements:
  • 8-14 years of professional experience in business data analytics
  • Experience in Retail or CPG domain required
  • Supply Chain background and prior experience in areas of Demand, Supply, Shipping, Inventory Planning highly desirable
  • Experience working with large data sets preferred (with an emphasis on business analysis problems)
  • Experience working with offshore teams
  • Bachelor's degree in Mathematics, Statistics, or related field with experience in Supply chain planning and operations, E-commerce, and store retail experience preferred
  • Demonstrated technical and analytical skill set to work with analytics toolkit such as: Python, SQL, Git, Power BI, PySpark, MS Azure services
  • Engage with executive/VP level stakeholders from the client's team to translate business problems into high-level analytics solution approaches
  • Ability to work cross-functionally to develop innovative solutions using advanced analytics
  • Prior experience synthesizing and packaging complex analyses and delivering results to non-technical audiences, including senior leadership teams


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