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Sr. Solution Design & Data Insights Analyst

NewCold

Senior · 2+ yrsOn-site · Chicago, ILFull-time$75,000.00/yr - $85,000.00/yrListed 12d ago
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Experience Senior · 6+ yrs (2–3 years)

About the role

from listing

Pay Range

The typical pay range for this role is:

$75,000 - $85,000

This position is eligible for a bonus in addition to the base pay range listed above.

This pay range represents the base hourly rate or base annual full-time salary for all positions in the salary band within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.

Benefits

NewCold also provides eligible employees with an opportunity to enroll in a full range of competitive benefit programs, generally including health insurance, retirement savings plans, life and disability insurance programs, and programs that provide for both paid and unpaid time away from work. In addition, we offer employees 4 weeks of accrued Paid Time Off as well as paid holidays throughout the calendar year. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, and date of hire.

Position Overview

As a Sr. Solution Design & Data Insights Analyst, you will be responsible for developing analytical models and data

driven insights that support NewCold's solution design process for customers in new and existing locations

throughout North America. You will work directly with Executive and Director level Business Development staff to

translate customer data into models, business cases and clear recommendations. You are a hands-on analytical

thinker who enjoys programming, crunching numbers and explaining technical models to stakeholders without a

technical background.

Roles and Responsibilities

  • Assist in the solution design process during the business development phase and collaborate

with department specialists, Business Development Managers and Site Managers.

  • Develop, validate and document analytical models using SQL, Python, Power BI and Excel to support

customer business cases.

  • Ensure all customer requirements, data, assumptions and team expectations are known, while

translating customer needs into the business development process.

  • Thoughtfully articulate, present and document proposed customer solutions, including complex technical

models in clear nontechnical language.

  • Manage data analysis, research, modeling and reporting for potential and existing NewCold customers.
  • Use data, programming and research to co-create commercial proposals for new customers and

internal and external stakeholders, including NewCold executive and investor leadership.

  • Enhance and maintain business environment intelligence, including customer data, competitor

overviews, industry information and macroeconomic information.

#NCAJ

Requirements

  • 2 to 3 years of experience or Master’s Degree in industrial engineering, data analytics, supply chain

analytics, operations research or a related field.

  • Background in data analytics or solution design with experience taking a consultative and relationship

oriented approach.

  • Highly analytical with a love for numbers, data, programming and problem solving.
  • Strong SQL experience and comfort working with large, structured datasets.
  • Experience building models, dashboards or automated analyses in Python, Power BI and Excel.
  • Excellent communication and presentation skills, including the ability to explain technical models,

assumptions and conclusions to stakeholders without a technical background.

  • Familiar working in a hands-on and fast paced culture.
  • Willingness to travel up to 50% of the time.

Education/Certification

  • Bachelor’s degree in industrial engineering, mathematics, or related technical degree
  • Master’s Degree in related field preferred

Employment type: Full-time

Industries: Transportation, Logistics, Supply Chain and Storage

Transportation, Logistics, Supply Chain and Storage
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