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Senior Supply Chain Analytics Manager
4 weeks ago
Tiger Analytics is a leading advanced analytics consulting firm that helps Fortune 100 companies generate business value from data. We are seeking a Senior Supply Chain Analytics Manager to join our team.
Responsibilities:- Develop and implement data-driven supply chain strategies to optimize business performance.
- Lead cross-functional teams to analyze and improve supply chain operations, including demand planning, inventory management, and shipping.
- Collaborate with senior client leaders to understand business needs and develop actionable analytics solutions.
- Design and implement predictive models to forecast demand and optimize supply chain operations.
- Develop and maintain relationships with key stakeholders, including senior leadership and cross-functional teams.
- Stay up-to-date with industry trends and best practices in supply chain analytics and implement them in our work.
- 12-14 years of professional work experience with at least 8 years in business data analytics.
- Experience in Retail or CPG domain is required.
- Supply Chain background 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 working with offshore teams.
- 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: Python, SQL, Git, Power BI, PySpark, MS Azure services.
- Ability to engage with executive/VP level stakeholders from the client's team to translate business problems to high-level analytics solution approaches.
- 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 presentations.
- 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 and 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.