Manager/ Sr. Manager - Supply Chain Analytics

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 has 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 data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

RESPONSIBILITIES:

• Work on the latest applications of data science to solve business problems
• 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.
• Extract, transform and organize the data into datasets using tools like SQL.
• 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, Operational Research technique to develop data models
• Experienced in building and maintaining predictive and/or prescriptive models in production at enterprise scale
• Experienced in developing and running simulation, optimization, and what-if scenario planning tools to support decision making.
• Demonstrable ability to sift through data, identify critical information, analyze, develop hypothesis and make recommendations to broader audience required
• Consistent record of working 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
• Excellent written and verbal communication skills, including ability to develop and deliver presentation
• Familiarity with agile development methodology
• Utilizing appropriate quality checks to ensure the results are sound.

• Data Science expertise of 7-15 years working in the FMCG space, CPG domain is preferred.
• Supply chain experience at least 3 to 4 years and prior experience in areas of Demand, Supply, Shipping, Inventory Planning etc. is highly desirable
• Experience working with large data sets is preferable (with an emphasis on business analysis problems)
• Experience of working with offshore teams, solving vague business problem to data analytics solution
• Bachelor's degree in Mathematics, Statistics, or related field with experience in areas such as 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:
• R, Python, SQL, Git, SAS, Tableau, Alteryx
• Azure Tech Stack
• Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach
• Ability to work cross-functionally to develop innovative solutions using advanced analytics
• Prior experience in synthesizing and packaging complex analyses and delivering results to non-technical audiences including senior leadership teams
• Excellent written and verbal communication skills, including ability to develop and deliver presentation
• Familiarity with agile development methodology
• Strong project management and team management skills and ability to work with global teams
• Knowledge of statistical and machine learning algorithms
• Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus

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.