Senior Business Intelligence Specialist
3 days ago
Tiger Analytics is a pioneering analytics consulting firm that helps businesses unlock the power of data. We are seeking a highly skilled Data Science Professional to join our team and work on cutting-edge data science projects.
The successful 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 estimated salary for this role is around $150,000 - $220,000 per year, depending on location and experience.
Key Responsibilities:- Work on data science projects to solve business problems
- Collaborate with team members to select and apply relevant analytic techniques
- Understand the business context by discussing existing data models with senior client leaders
- Analyze and transform data into datasets using SQL and other tools
- Break down complex projects into specific tasks involving business analysis, data science, and engineering
- Lead teams of business analysts to create data-driven solutions
- Design data analytics frameworks and solutions to solve data-driven business problems
- 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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