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Sr. Manager/Associate Director - Supply Chain Analytics (CPG)

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 also market leaders in AI & Analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector and we are beefing up our talent in the space.

We are looking for someone with a good blend of business consulting skills and 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.

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, and Operational Research techniques to develop data models
  • Experienced in building and maintaining predictive and/or prescriptive models in production at an 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 hypotheses 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 ability to develop and deliver presentation
  • Familiarity with agile development methodology
  • Utilizing appropriate quality checks to ensure the results are sound
  • 11-15 years of professional work experience with at least 5 years in business data analytics
  • Experience in CPG domain is required
  • Supply Chain background and prior experience in areas of Demand, Supply, Shipping, Inventory Planning, etc., are required
  • 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 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, 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.

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CEO of Tiger Analytics
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Mahesh Kumar
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What You Should Know About Sr. Manager/Associate Director - Supply Chain Analytics (CPG), Tiger Analytics

Tiger Analytics is on the lookout for a passionate and skilled Sr. Manager/Associate Director - Supply Chain Analytics (CPG) to join our dynamic team. As an advanced analytics consulting firm recognized for our innovation and expertise, we partner with some of the biggest names in business, providing cutting-edge solutions that transform their operations. In this role, you’ll dive into the fascinating world of data science and tackle unstructured business problems head-on. If you thrive on working with data to derive actionable business insights, we want you on board! You’ll lead a talented group of business analysts, guiding them to create data-driven solutions while collaborating with senior client leaders to translate complex data models into meaningful insights. Your responsibilities will include developing predictive models, utilizing advanced analytical techniques, and establishing frameworks that enhance decision-making processes. Your extensive experience in supply chain analytics within the CPG sector, combined with your communication prowess, will empower you to effectively engage with stakeholders at all levels. Moreover, with our commitment to innovation and the rapidly evolving analytics landscape, you will find ample opportunities for career growth in our entrepreneurial environment. Let’s change the way businesses leverage data together at Tiger Analytics!

Frequently Asked Questions (FAQs) for Sr. Manager/Associate Director - Supply Chain Analytics (CPG) Role at Tiger Analytics
What are the main responsibilities of the Sr. Manager/Associate Director - Supply Chain Analytics at Tiger Analytics?

As the Sr. Manager/Associate Director - Supply Chain Analytics at Tiger Analytics, your primary responsibilities will include leading teams to implement data-driven solutions, working closely with senior client leaders to grasp business contexts, developing predictive models using machine learning, and creating frameworks for analytics. You will also engage in discussions to select relevant analytic techniques that create actionable business insights.

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What qualifications are necessary for the Sr. Manager/Associate Director - Supply Chain Analytics position at Tiger Analytics?

To excel in the Sr. Manager/Associate Director - Supply Chain Analytics role at Tiger Analytics, candidates should possess a Bachelor's degree in Mathematics, Statistics, or a related field, along with 11-15 years of professional experience. A minimum of 5 years in business data analytics and experience in the CPG domain is required, particularly in areas such as demand planning, supply chain management, and handling large datasets.

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How does the Sr. Manager/Associate Director - Supply Chain Analytics contribute to client engagements at Tiger Analytics?

In this position, the Sr. Manager/Associate Director - Supply Chain Analytics plays a critical role by collaborating with clients to identify their business challenges and translate them into high-level analytics solutions. You will utilize your expertise in data science and machine learning to build predictive models and ensure the solutions are effectively communicated to both technical and non-technical stakeholders.

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What tools and technologies are utilized by the Sr. Manager/Associate Director - Supply Chain Analytics at Tiger Analytics?

The Sr. Manager/Associate Director - Supply Chain Analytics at Tiger Analytics will work with a variety of analytical tools and technologies, including Python, SQL, Power BI, and potentially PySpark. Familiarity with cloud platforms and big data systems such as Hadoop and Hive is a plus, as these tools enhance your ability to deliver insights efficiently and effectively.

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What are the opportunities for career advancement in this position at Tiger Analytics?

Working as a Sr. Manager/Associate Director - Supply Chain Analytics at Tiger Analytics offers significant career development opportunities. Given the firm’s rapid growth and emphasis on innovation, there is a great potential for you to take on leadership roles, expand your expertise across different sectors, and contribute to shaping the future of analytics within the company.

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Common Interview Questions for Sr. Manager/Associate Director - Supply Chain Analytics (CPG)
Can you describe your experience with data science in the context of supply chain analytics?

To effectively answer this question, discuss specific projects where you applied data science techniques to solve supply chain problems. Include details of the methodologies used, outcomes achieved, and how your data-driven insights impacted business decisions.

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How do you approach building predictive models in supply chain analytics?

When asked this question, share your process for developing predictive models. Talk about the data collection stages, the algorithms you prefer to use, and how you validate the models to ensure accuracy. Highlight any projects where you successfully implemented these models.

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What was a challenging problem you faced in your previous roles, and how did you resolve it?

Use the STAR (Situation, Task, Action, Result) method to structure your answer. Clearly explain the context of the challenge, the steps you took to address it, and the positive outcome of your efforts.

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How do you stay updated on advancements in analytics and data science?

Discuss your methods for continuous learning, such as attending workshops, webinars, online courses, and following industry thought leaders. Mention specific topics you have recently explored that relate to supply chain analytics.

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Can you explain your experience working with stakeholders to communicate your findings?

Illustrate your approach to simplifying complex analyses for stakeholders. Provide an example of how you successfully conveyed insights from a data project to senior leadership or non-technical audiences and the impact this had.

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What tools have you used for data visualization and reporting?

Mention any data visualization tools you are familiar with, such as Power BI or Tableau. Provide examples of how you used these tools to create impactful reports or dashboards for decision-making in supply chain contexts.

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What strategies do you employ to lead and mentor your team effectively?

Discuss your leadership style and techniques for fostering collaboration and skill development among your team members. Give examples of how you've successfully guided and motivated others to achieve project goals.

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What methodologies do you prefer when managing analytics projects?

Talk about your familiarity with agile development methodologies and other project management approaches. Explain how you adapt methodologies to suit the needs of specific projects while ensuring timely and effective delivery.

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How do you ensure the quality and integrity of your analytical results?

Describe the quality assurance processes you employ during your analysis. Discuss statistical techniques, peer review strategies, and any software tools that help validate your results before presentation.

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What is your experience with cloud platforms and big data systems in your analytical work?

Share relevant experiences you have had working with cloud services, such as MS Azure, or big data systems like Hadoop. Explain how these technologies enhanced your ability to manage extensive datasets and perform analytics efficiently.

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Full-time, remote
DATE POSTED
January 10, 2025

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