Manager/ Sr. Manager - Supply Chain Analytics
- Santa Clara, CA
- Contract
- Full-time
- 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 valuable 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.
- Utilize data science, Machine Learning, Artificial Intelligence, and Operational Research techniques 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 a hypothesis and make recommendations to a 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 the ability to develop and deliver a presentation.
- Familiarity with agile development methodology.
- Utilizing appropriate quality checks to ensure the results are sound.
- 6-10 years of professional work experience with at least 5 years in business data analytics.
- 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 of working with offshore teams.
- Bachelor's degree in Mathematics, Statistics, or a related field, with experience in areas such as Supply chain planning and operations, preferably from the semiconductor industry.
- Demonstrated technical and analytical skill set to work with analytics toolkits such as:
- R, Python, SQL, Git, SAS, Tableau, Alteryx
- Spark, Amazon Web Services (AWS)
- Ability to engage with executive/VP-level stakeholders from the client's team to translate business problems into a 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 the ability to develop and deliver a presentation.
- Familiarity with agile development methodology.
- Strong project management and team management skills, and the 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.
- Will have to travel to the office 5 days a week.