Tiger Analytics
Associate Director/ Director - CPG Consulting (R&D - Manufacturing)
Tiger Analytics, Nashville, Tennessee, United States,
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate about working on unstructured business problems that can be solved using data, we would like to talk to you.
We are also market leaders in AI and analytics consulting in the CPG and retail industry, with over 40% of our revenues coming from this sector. This is our fastest-growing sector, and we are beefing up our talent in the space.
Responsibilities:
Work on the latest applications of data science to solve business problems in the CPG/Retail Space.
Have experience in R&D and Manufacturing space within CPG domain.
Conduct solution and requirement workshops involving business and analytics stakeholders.
Leverage DTC best practices to define and design advanced analytics solutions.
Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights.
Ability to understand the business context by discussing existing data models with senior client leaders and deriving useful business insights.
Ability to break down a project into specific tasks involving business analysis, data science, and engineering.
Direct teams of business analysts to create data-driven solutions.
Architect data analytics frameworks and solutions to solve data-driven business problems.
Use Data Science, Machine Learning, Artificial Intelligence, and Operational Research techniques to develop data models.
Report the results and insights using business intelligence tools.
Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solutions.
Being able to communicate with and manage expectations across stakeholders effectively.
Requirements
12-16 years of professional work experience with at least 5 years in business data analytics in the DTC space
Prior experience working in the consumer goods / Retail industry
Have led Digital and analytics transformation programs
Experience working with large data sets would be preferable (with an emphasis on business analysis problems)
Experience in working with offshore teams
Bachelor's degree in business administration or a closely related field. MBA preferred
Ability to engage with executive/VP level stakeholders from the client’s team to translate business problems to high-level analytics solution approach
Strong project management and team management skills and ability to work with global teams
Strong SQL skills and excellent knowledge of visualization tools like Tableau
Knowledge of statistical and machine learning algorithms
Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
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We are also market leaders in AI and analytics consulting in the CPG and retail industry, with over 40% of our revenues coming from this sector. This is our fastest-growing sector, and we are beefing up our talent in the space.
Responsibilities:
Work on the latest applications of data science to solve business problems in the CPG/Retail Space.
Have experience in R&D and Manufacturing space within CPG domain.
Conduct solution and requirement workshops involving business and analytics stakeholders.
Leverage DTC best practices to define and design advanced analytics solutions.
Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights.
Ability to understand the business context by discussing existing data models with senior client leaders and deriving useful business insights.
Ability to break down a project into specific tasks involving business analysis, data science, and engineering.
Direct teams of business analysts to create data-driven solutions.
Architect data analytics frameworks and solutions to solve data-driven business problems.
Use Data Science, Machine Learning, Artificial Intelligence, and Operational Research techniques to develop data models.
Report the results and insights using business intelligence tools.
Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solutions.
Being able to communicate with and manage expectations across stakeholders effectively.
Requirements
12-16 years of professional work experience with at least 5 years in business data analytics in the DTC space
Prior experience working in the consumer goods / Retail industry
Have led Digital and analytics transformation programs
Experience working with large data sets would be preferable (with an emphasis on business analysis problems)
Experience in working with offshore teams
Bachelor's degree in business administration or a closely related field. MBA preferred
Ability to engage with executive/VP level stakeholders from the client’s team to translate business problems to high-level analytics solution approach
Strong project management and team management skills and ability to work with global teams
Strong SQL skills and excellent knowledge of visualization tools like Tableau
Knowledge of statistical and machine learning algorithms
Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
#J-18808-Ljbffr