Insights Data Scientist

CHEP
Alpharetta, GA Full Time
POSTED ON 8/30/2024 CLOSED ON 10/3/2024

What are the responsibilities and job description for the Insights Data Scientist position at CHEP?

Position Purpose:

The Insights and Strategy team for CHEP Americas is responsible for developing, communicating, and leading the execution of macroeconomic and market analysis used across the business to inform strategic decision making and operational performance.


CHEP Americas is currently looking to fill the role of Insights Data Science Manager. The Insights Data Science Manager’s primary focus is to support the development of statistical models connecting macroeconomic and market activities to company performance. They will also create and manage the process for communicating these insights to key stakeholders.


Major/Key Accountabilities:

  • Develop and implement advanced statistical models to forecast market trends, consumer behavior, and business outcomes. Use predictive analytics to inform strategic decisions and identify growth opportunities within ideal customer profiles.
  • Analyze diverse data sets to uncover patterns, correlations, and insights. Leverage modeling outcomes to provide actionable recommendations for strategic positioning and operational improvements.
  • Use modeling techniques to analyze competitors’ strategies and predict future market movements. Provide insights on potential competitive advantages and threats.
  • Craft detailed reports and presentations that distill complex models and analyses into understandable and actionable insights.
  • Engage with teams across the organization to provide analytical and modeling support. Ensure that strategic projects are grounded in solid data analysis and predictive insights.


Scope:

  • Number of regions: 3 (U.S., Canada and LATAM)
  • Number of locations: Alpharetta, GA USA


Challenges/Problem Solving:

Problem solving relates to the requirement in the role to analyze, reason and arrive at conclusions to solve problems, identify business opportunities and record learnings. This can be range between routine and patterned (day-to-day within procedures) or more complex in nature requiring analytical and innovative solutions.


Authority/Decision Making:

  • Working autonomously with limited day-to-day interaction with line manager
  • Working in a matrixed environment
  • Recommends budgetary spend


Key Contacts:

  • Internal - Marketing, Strategy, Senior Leadership, Commercial, Retails and Operations.
  • External - N/A


Qualifications:

  • Programming skills: R, Python (Pandas, NumPy, SciPy)
  • Experience with Nielsen Discover platform and consumer packaged goods industry


Experience:

  • Experience in a role focused on quantitative analysis, statistical modelling, or data science, preferably with exposure to strategic analysis or market research.
  • Demonstrated experience in developing and implementing predictive models and conducting complex data analyses in a business context.
  • A portfolio of projects that showcases the ability to turn data and modelling into strategic insights and recommendations.
  • Ability to analyze and apply learnings to business context and effectively communicate insights to business


Skills and Knowledge:

Statistical modeling, programming, and cross-functional communication skills.


Languages:

Essential - English

Desirable - Spanish


Base pay starting at $92,000.00/annual

Salary ranges provided take into account a wide variety of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications, geographic differentials and other business and organizational needs. Therefore, actual amounts offered may be higher or lower than the range provided. If you have questions, please speak to your Talent Acquisition Partner about the flexibility and detail of our compensation philosophy.

Dependent on the position offered, other forms of compensation may be part of a total offering beyond medical & retirement benefits and may include other monetary incentives or business benefits.

Salary : $92,000

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